Industrial & Manufacturing Transportation & Logistics Warehousing & Distribution

Warehouse Operations

Multi-party coordination across carriers, warehouses, and supply chains where SLAs, compliance, and handoffs drive outcomes.

Kenco Ryder DHL Supply Chain XPO
Inside this journey
  1. Pre-Discovery

    Align stakeholders and constraints before detailed assessment.

    1. Stakeholder Alignment

      Confirm decision roles, timeline, success metrics, budget, and risk tolerance to secure cross-functional buy-in.

      Alignment Questions

      Starting Point: A Quick Snapshot

      • Which facility, DC number, or operation are we aligning on for this conversation?
      • Who is your primary sponsor for this initiative (title and name if available)? Options: VP Supply Chain, Director of Distribution, Warehouse GM, COO, Other
      • How would you summarize the single biggest goal for this project in one sentence?
      • Which business vertical best describes this operation? Options: E‑commerce/Omnichannel, Wholesale/distribution, Manufacturing, Retail DC, 3PL, Other
      • Roughly how many outbound orders or lines do you ship per day? Options: <500 orders, 500–2,000 orders, 2,000–10,000 orders, >10,000 orders, Unsure / varies

      Who's in the Room — and Who's Silent?

      • If this project moved forward and a key stakeholder publicly opposed it, who would that person most likely be and why would they push back?
      • Please select all roles that will directly influence the decision (select all that apply). Options: VP Supply Chain, Director of Distribution, Warehouse GM, Finance/FP&A, IT/WMS Lead, Operations Supervisors, Safety/HR, Procurement, Other
      • Who on your team actually controls the day‑to‑day operations that will need to adopt the changes? (name/title preferred)
      • Which individuals or groups are informal influencers on the floor whose buy‑in is critical even if they don't hold final approval? Options: Shift Supervisors, Senior Associates, Union Reps, Maintenance Leads, Picking Team Leads, Other
      • How much time can we expect stakeholders to commit to working sessions, floor walks, and status reviews during an assessment phase? Options: <2 hours/week, 2–4 hours/week, Half day/week, Full day/week, Variable / depends on week

      What Would Break If We Don’t Fix This?

      • If throughput doesn't improve this quarter, how would that change your job or your team's priorities?
      • Which of the following consequences are you most worried about if nothing changes? (pick up to three) Options: Missed SLAs / late shipments, Customer chargebacks, Rising overtime costs, Safety incidents, Lost shelf space or customers, Inability to hire/retain staff, Other
      • How often do throughput shortfalls create urgent executive attention or escalation? Options: Daily, Weekly, Monthly, Rarely/Only during peaks, Never
      • Can you quantify the current pain in dollars, time, or service terms (e.g., cost of overtime/week, % late orders, lost sales)? Please provide specifics.
      • Which customers, channels, or SKUs are most exposed to current failures or capacity limits?

      What Would Success Feel and Look Like?

      • If we called this project a win after 90 days, what three measurable changes would have to be true?
      • Which primary KPIs should we use to judge success? (select up to three) Options: Throughput (orders/day), Lines picked/hour, Order accuracy, Cycle time / lead time, Labor cost per order, On‑time ship %, Other
      • For each KPI you selected, what is the current baseline and the target you would accept?
      • Who will be the owner(s) of these KPIs after implementation? Options: Warehouse GM, Operations Director, Continuous Improvement Lead, Operations Supervisor, S&OP/Planning, Other
      • How will you know the change is sustainable versus a short‑term spike? (what behaviors, routines, or reports matter?)

      Money, Timing, and What 'Enough' Means

      • If leadership cut your expected budget in half, what three items would you keep and what would you defer?
      • Which budget model best describes your preference for this work? Options: Capital (one‑time), Operational (monthly/annual), Blended, Pilot first then scale, Unsure / depends
      • Which of these ranges best describes the budget you anticipate approving for a 3–6 month effort (select one)? Options: <$50k, $50k–$150k, $150k–$500k, $500k–$1M, >$1M, Undetermined
      • What payback or ROI horizon does finance expect before they will greenlight a larger rollout? Options: <6 months, 6–12 months, 12–24 months, Multi‑year, Not defined
      • Are there procurement rules, capital approval thresholds, or financial gates we need to design around? Options: Yes—strict thresholds, Some formal gates, Informal / flexible, Unsure

      How Much Disruption Can You Live With?

      • Would you rather deliver early wins with low disruption or a bigger transformation that causes planned downtime—what's your preference? Options: Low disruption quick wins, Bigger transformation with planned outages, Hybrid approach, Undecided
      • Which operational windows are acceptable for on‑floor changes or pilot testing? Options: Night shifts only, Weekend windows, Off‑peak daytime shifts, Planned outage, Anytime with contingency
      • Are there union rules, headcount constraints, or safety approvals that limit when or how we can reassign tasks? Options: Yes—unionized, Yes—strict headcount rules, No major constraints, Unsure
      • How much overtime or temporary labor can you commit to support rollout activities if needed? Options: None, Limited (weekends only), Moderate, Significant if budgeted, Unsure
      • What contingency would make you feel comfortable beginning an on‑floor pilot (e.g., rollback plan, supervisor training, parallel lanes)?

      What Failed Before—and What We Learned

      • Think of the last improvement project that failed to stick—what was the single biggest reason it unraveled?
      • Which of these contributed to past failures? (select all that apply) Options: Poor change management, Lack of supervisor buy‑in, Unrealistic timelines, Technology mismatch, Insufficient training, Budget cuts mid‑project, Other
      • How do your floor supervisors and associates generally feel about outside consultants proposing process change? Options: Open and curious, Skeptical but cooperative, Resistant, Depends on the consultant
      • Who among your team has successfully led a change before and could serve as an internal champion for adoption?
      • What immediate measures would regain trust if a proposed change began to cause pain on the floor?

      Decision Path: Who Signs, When, and On What?

      • What is the one final approval step that can stop this project in its tracks—and who occupies that seat?
      • Which departments must sign off before work begins? (select all that apply) Options: Operations, Finance, IT/WMS, Legal/Compliance, Health & Safety, Procurement, Executive Sponsor
      • How long does your internal approval cycle typically take from proposal to signed contract? Options: <2 weeks, 2–4 weeks, 1–3 months, 3–6 months, Variable / case by case
      • What documentation or evidence does each approver expect to see (e.g., pilot results, ROI model, risk assessment)?
      • Are there external stakeholders (customers, 3PL partners, landlords) whose buy‑in is required? If so, who and why?

      Data, Systems, and Access: The Practical Must‑Haves

      • Which core systems will we need access to for an assessment (select all that apply)? Options: WMS (name), TMS, Wage/Labor system, ERP/Order system, Warehouse maps/layout files, None / manual data only, Other
      • Do you have current floor layout drawings, SKU slotting lists, and recent order profiles available for review? Options: All available, Some available, None available—need collection, Unsure
      • Who on your team will own providing data and granting system access during an on‑site assessment?
      • Are there security, compliance, or IT change‑control steps we should plan for before gaining access to systems or networks? Options: Yes—formal process, Minor steps only, No constraints, Unsure
      • How soon can the key data sets (order profiles, labor logs, WMS reports) be made available if we agree to proceed? Options: Within 48 hours, Within 1 week, 2–4 weeks, Longer / needs planning, Unsure

      Readiness and Next Steps — Who Does What, When

      • If we agreed to a 1–2 week on‑floor assessment, who would you expect to attend our kickoff from your side during week one?
      • What are three non‑negotiable items you need from us before you’ll recommend proceeding to your leadership?
      • How quickly would you like to see an initial findings deck after the assessment completes? Options: 48–72 hours, 1 week, 2 weeks, Depends on complexity
      • What would make you confidently say 'yes' to running a small pilot (what conditions or guarantees)?
      • Finally, what is the best way and time for us to follow up with you to confirm next steps? Options: Email, Phone call, Virtual meeting, On‑site visit, Other
    2. Current State Mapping

      Document workflows, order profiles, equipment/WMS constraints, baseline KPIs, and primary failure modes blocking throughput.

      Current State

      Quick Snapshot: Name, Place, and Near-Term Goal

      • Which site or operation are we mapping today? (facility name, city, sq. ft., number of docks, shifts)
      • Who are the decision-makers and operational owners we should include in this discovery? Options: VP Supply Chain, Director of Distribution, Warehouse Manager, Operations Manager, Finance/FP&A, IT/WMS Lead, Safety/HR, Other
      • In one sentence, what outcome would make this engagement a clear success for you?
      • Which outcome is the highest priority right now? Options: Increase throughput (orders/day), Reduce labor cost per order, Improve order accuracy, Reduce cycle time, Better utilization of space, Other
      • How soon do you need to start seeing measurable improvements? Options: Within 30 days, 30–60 days, 60–90 days, Longer than 90 days, Unsure

      If You Had to Point a Finger — Where Would It Hurt Most?

      • If your operation hit a limit tomorrow, what single area would you say is most likely to cause the collapse (e.g., picking, packing, staging, shipping)? Options: Picking, Packing/Consolidation, Staging/Sorting, Shipping/Dock, Inbound/Receiving, Replenishment, Other
      • Tell me the story of a recent day when throughput suffered — what happened, who noticed it first, and how was it reacted to?
      • How often do you experience days or shifts that fall below target throughput? Options: Daily, A few times a week, Weekly, Monthly, Rarely
      • When that underperformance happens, what immediate fixes do supervisors try (and how often do those work)?
      • Which of the following do you suspect contributes most to that pain today? Options: Poor slotting/profile, Inefficient pick paths, WMS limitations, Equipment downtime, Labor shortages/skill gaps, Layout bottlenecks, Other

      Walk the Order: How Work Actually Flows

      • Describe the end-to-end flow for a typical order from order release to shipment—who touches it and where?
      • Which process steps are automated versus manual today? Options: Order release/slotting, Pick assignment, Wave management, Sortation/consolidation, Labeling/manifesting, None of the above, Other
      • Where are the regular handoffs between teams or systems (e.g., picking → packing → staging)? Who owns each handoff?
      • How do exceptions flow (shortages, damages, missing labels) — who triages and how long does resolution typically take? Options: Supervisor triages, Dedicated exceptions team, Quality team, WMS holds, Other
      • Which SOPs exist for the core workflows and how often are they followed as written? Options: Always, Mostly, Sometimes, Rarely, No formal SOPs

      If Peak Day Exposes Limits, What Breaks First?

      • On peak days, which areas slow disproportionately compared to average days? Options: Receiving/inbound, Replenishment, Picking, Packing, Staging/Sort, Shipping/loads
      • What percent of your annual volume occurs during peak weeks or seasons? Options: <10%, 10–25%, 26–50%, 51–75%, >75%, Unsure
      • How do order profiles change during peaks (lines per order, items per pick, units per order)?
      • What temporary processes or labor increases do you use for peaks, and what drawbacks do those introduce?
      • Which months or events drive your peaks? Please list primary drivers (e.g., seasonality, promotions, new customer launches).

      When You Say 'The WMS Can't Do That' — What Do You Mean?

      • What WMS are you running (vendor, version) and which modules do you actively use? Options: Manhattan, Blue Yonder (JDA), SAP EWM, Oracle WMS, HighJump, Softeon, Custom/Proprietary, Other
      • Which critical tasks does the WMS fail to support today, forcing manual workarounds?
      • Describe the integrations your WMS has (ERP, TMS, conveyor controls, labor systems) and any known data delays or gaps.
      • How confidently can you extract the following from your systems: historical order profiles, pick paths, labor time stamps, and exception logs? Options: All easily, Most with effort, Partial/inconsistent, Not available
      • What manual workarounds are most entrenched (spreadsheets, paper pick tickets, local tablet scans)? Options: Spreadsheets, Paper tickets, Local handhelds w/ manual overrides, Whiteboard/shift logs, Other

      Which Physical Constraints Are Quietly Holding You Back?

      • If you could change one physical constraint in the building today (aisle width, racking type, dock count, mezzanine), which would it be and why?
      • What types of material handling equipment (MHE) do you rely on? Options: Counterbalance forklifts, Reach trucks, Pallet jacks, Conveyors, Sorters, Pick carts/totes, Automated storage/retrieval, Other
      • How often does equipment downtime or maintenance materially affect throughput? Options: Daily, Weekly, Monthly, Rarely, Never
      • Are there fixed layout constraints (columns, fire lanes, dock orientation, mezzanine) that we must design around? Options: Yes—major constraints, Some constraints, Few constraints, No constraints / flexible
      • Do you have a current facility plan/CAD we can review, and who owns the most up-to-date version?

      Which Numbers Tell the Truth (and Which Are Smoke)?

      • Which KPIs do you track daily/weekly that we should baseline (select all that apply)? Options: Orders shipped/day, Order lines per hour, Picks per hour, On-time shipping %, Order accuracy %, Labor hours per order, Dock-to-ship time, Inventory accuracy, Other
      • For the selected KPIs, please provide current typical values (or attach the report in follow-up). If unknown, leave blank.
      • How confident are you in the integrity of those numbers? Options: Very confident, Somewhat confident, Low confidence, We don't trust the data
      • Which KPI moves would justify an investment (e.g., X% more throughput, Y% labor reduction)? Please be specific.
      • Who currently owns KPI reporting and who would be responsible for accepting baselines during an assessment?

      What Are the 'Normal' Failures You Pretend Are Acceptable?

      • What recurring failures do people shrug at—errors, jams, stockouts—that you suspect are actually the biggest hidden costs?
      • Please list the top three failure modes and, for each, how often they occur and who typically discovers them.
      • When failures happen, what is the typical downstream impact on throughput, accuracy, or labor? Options: Minor delay, Significant delay, Requires overtime, Causes rework, Causes customer SLA breach
      • Do you have incident/near-miss logs we can review? If yes, how are they stored? Options: WMS logs, Shift reports/whiteboard, EHS/incident system, Spreadsheets, Not recorded
      • How long have these failure patterns been tolerated in the operation? Options: Less than 6 months, 6–12 months, 1–3 years, 3+ years, Unsure

      The People Side: Who Will Win or Lose with Change?

      • Who in the day-to-day operation is most likely to resist change—and what are their main concerns?
      • Describe staffing levels and skill mix by area (e.g., picking: 20 associates, avg tenure 3 years).
      • Is the operation unionized or subject to collective bargaining agreements that affect change windows? Options: Unionized, Non-union, Partially unionized, Unsure
      • What is the typical supervisor-to-associate ratio, and how strong is frontline coaching today? Options: <1:10 (very coached), 1:10–1:20 (coached), 1:20–1:30 (light), >1:30 (limited)
      • Have you run change initiatives recently? Which ones stuck and which didn’t—and why?

      Hard Limits: What We Must Not Touch

      • What are the non-negotiable constraints any solution must respect (downtime windows, budget caps, safety regs, contract terms)?
      • What is the maximum acceptable planned disruption for implementing quick wins (hours/days/outage type)? Options: No disruption allowed, Off-shift brief outages, Single-day planned outage, Multi-day planned window, Flexible
      • Are there capital or budget approvals that would block recommended changes—even if ROI is clear? If yes, who signs off?
      • What IT or security constraints affect granting data access or pushing WMS configuration changes?
      • How sensitive are you to third-party consultants operating on the floor (background checks, PPE, covid/vaccination rules)? Options: High, Medium, Low, Unsure

      Small Wins That Prove the Concept — What Would You Let Us Touch First?

      • Which of these quick-win changes would you be willing to approve in the first 30 days? Options: Slotting adjustments, Pick path changes, Rebalancing staff/roles, Packing layout tweaks, Temporary staging reassign, WMS pick sequence tweak, Training for supervisors
      • Who would own each quick-win on your team (name/role)?
      • What floor access windows do we have for implementing small changes without major disruption? Options: Night shift only, Weekend windows, Planned short daytime windows, Flexible
      • What data and system access can you provide for a 1–2 week on-floor assessment (order history, WMS extracts, labor timestamps)? Options: Full extracts (orders, labor, inventory), Partial extracts, Only summary reports, No system access
      • Who will be our primary contact for coordinating floor shadowing, interviews, and data pulls?

      Artifacts That Speed Discovery — What Should We Ask For First?

      • Can you provide these artifacts before our on-floor week: facility layout/CAD, slotting map, 90-day order history, standard reports, and SOPs? Options: All available, Most available, Some available, None available
      • Are historical cycle time and labor timestamp exports available by zone/shift for the last 30–90 days? Options: Yes—detailed exports, Yes—summary only, No
      • Do you have a preferred secure method for sharing files and access (SFTP, SharePoint, Box, other)? Options: SFTP, SharePoint/OneDrive, Box/Dropbox, Email (not preferred), Other
      • Who will sign confidentiality/data-sharing agreements if required?
      • Is there anything else we should know about the site or stakeholders before the assessment that will help us get to impact faster?
  2. Operational Assessment

    Perform a 1–2 week on-floor study measuring travel, timing, interviews, and order profiles to produce a prioritized improvement plan with projected savings.

    Assessment Findings

    Quick Floor Snapshot — Help Us Picture Your Day

    • Tell us the facility name, city, and the one-line summary of what you ship from this site (e.g., B2C apparel, palletized wholesale, spare parts, mixed retail)
    • What is your usable warehouse footprint (select the range closest to reality)? Options: < 25,000 sq ft, 25,000–75,000 sq ft, 75,000–200,000 sq ft, 200,000–500,000 sq ft, > 500,000 sq ft, Not sure
    • Which shifts and hours does this site operate during peak weeks? Options: Single shift (day), Two shifts (day+afternoon), Three shifts (24/7), Flexible/seasonal shifts, Weekend-only peaks
    • What WMS or order management system is live at this site (name and version if known)?
    • Which of the following material handling systems are in regular use here? Options: Multi-level shelving, Pallet racking, Conveyor/Sortation, Automated storage/retrieval (ASRS), Pick-to-light/pick-to-voice, Cart/pick towers, AGVs/AMRs, None of the above, Other

    Is Walking Killing Your Throughput?

    • How confident are you that travel distance and picker movement are your single largest limiter to throughput right now? Options: Very confident, Somewhat confident, Unsure, Doubtful
    • Do you currently measure travel time or steps per pick (e.g., through time studies, wearables, or WMS timestamps)? If yes, how was that data collected? Options: Yes — time studies (manual stopwatch), Yes — wearable/RTLS tracking, Yes — WMS/execution timestamps, No, Partially / ad hoc measurements
    • Give a typical example: on a standard pick route, how many feet/meters does a picker travel per order or per line on average (or the range you've observed)?
    • Which pick methods do you use across the site today (select all that apply)? Options: Piece pick (single order), Batch pick, Zone pick, Wave pick, Pick and pass, Cluster/parallel pick, Pick-to-cart, Other
    • Are there physical layout constraints that increase travel (e.g., long aisles, split case areas separated by a mezzanine, dock placement)? Please list the top 1–3.

    Where Rework and Mistakes Hide — Let’s Hunt Them Down

    • If errors were a visible bottleneck on a shop‑floor heat map, where would you point first — picking, packing, replenishment, putaway, staging, or outbound? Options: Picking, Packing/manifesting, Replenishment, Putaway, Staging/Dock, Returns processing, Other
    • What is your current order accuracy rate (error-free orders shipped) and how was that baseline measured? Options: > 99.9%, 99.0%–99.9%, 98.0%–99.0%, Below 98%, Don't have a reliable number
    • Describe the most common error types you see (e.g., wrong SKU, wrong qty, incorrect packing, mislabel), and which one costs you the most operationally or reputationally.
    • How often do quality or accuracy problems trace back to process vs. system (WMS/configuration) vs. human factors (training, fatigue)? Options: Mostly process, Mostly system, Mostly human, Even mix, Unsure
    • Have supervisors and associates been interviewed about root causes in the last 6 months? If so, what surprising insight came up? Options: Yes — regular interviews, Yes — ad hoc interviews, No interviews, Not sure

    What Would Freeing Up a Shift Actually Mean for You?

    • If we could free the equivalent of one full shift (or 25–35% of labor) without hiring, what would that enable for this operation?
    • Which KPIs would you expect to move first and by roughly how much to consider the assessment a success (select primary KPI and add target in next question)? Options: Throughput (orders/day), Lines per hour, Labor cost per order, Order accuracy, Dock-to-ship time, Inventory turns, Other
    • Please provide your current baseline for the KPI you selected (number) and the realistic improvement target you'd accept from a prioritized improvement plan.
    • Who outside operations would need to sign off on a savings or ROI case (select all that apply)? Options: VP Supply Chain, CFO/Finance, Director of Distribution, Plant/GM, IT/WMS owner, HR/Training, Other

    What Have You Tried That Didn’t Stick (and Why)?

    • Think of a recent change initiative that failed to sustain — what was the original idea, and why do you think it didn’t stick?
    • Which of the following barriers most often derailed past projects here? Options: Supervisor resistance, Associate turnover, Insufficient training, Lack of data to prove benefit, WMS limitations, Short pilot timelines, Competing priorities, Budget constraints
    • How do floor teams typically react to outside consultants running experiments—curious, skeptical, cooperative, or protective? Give a short example if possible. Options: Curious/open, Skeptical, Cooperative with conditions, Protective/defensive, Mixed
    • What quick wins have you tried in the past 12 months (slotting tweaks, signage, prime zone changes, batching rules)? Which delivered measurable improvement and which didn’t?

    Let’s Talk Data You Can Actually Share

    • If your WMS could answer three operational questions instantly, which three would you pick?
    • Which data extracts can you provide for an on‑floor assessment (select all you can share): Options: Order lines (last 30–90 days), SKU master with cube and weight, Transaction logs (pick/put/replen), Replenishment history, Shift-by-shift staffing and labor hours, None / restricted
    • Do you have concerns about data privacy, IP, or vendor lock that would limit what we can analyze on-site or in our sandbox? Options: Yes — significant concerns, Some concerns, manageable, No concerns, Unsure
    • Who internally owns the data and who would be our technical contact for exports and sample extracts (name/role)?

    Who Holds the Keys — Decision & Execution Map

    • If a prioritized improvement plan shows a clear path to the target throughput, who ultimately approves the budget and timing to implement changes? Options: VP Supply Chain, CFO/Finance, Director of Distribution, Plant GM, Central Transformation Office, Other
    • Which roles need to be involved in the assessment kickoff and weekly reviews (select all that should be included on the cadence)? Options: Site GM, Distribution Director, Operations Manager, WMS/IT Lead, HR/Training, Finance analyst, Floor supervisor(s), Union rep/lead
    • How quickly can the decision owners review an assessment report and move toward a pilot or quick-win budget approval (timeframe)? Options: Immediately / within 1 week, Within 2–4 weeks, 1–2 months, Longer than 2 months, Unsure
    • Are there contracting or procurement rules we should know about that affect pilot-level engagements (e.g., PO thresholds, SOW approvals)? Options: Yes — formal procurement, Informal approvals/POs, One-off agreements possible, Unsure

    Field Study Practicalities — How We Can Be Least Disruptive

    • What windows are acceptable for a 1–2 week on-floor study to observe peak and non-peak flows without creating risk (weeks/dates or recurring days)?
    • Are there safety, photo/video, or restricted-area policies our team must follow while observing and timing activities? Options: Yes — strict restrictions, Limited photos allowed with escort, No special restrictions, Unsure
    • Can observers shadow associates on the floor and conduct short interviews during shifts, or do we need to schedule off-shift interviews? Options: Yes — during shifts, Yes — with supervisor escort, Prefer off-shift interviews, Not allowed
    • Who will be our on-site point of contact and floor escort (name/role), and who approves access badges for short-term visitors?
    • Are there specific safety trainings, PPE, or certifications required before our team can begin observations? Options: Formal safety training required, PPE only (glasses, vest), No requirements, Unsure

    What Success Looks Like — Commit to the Numbers

    • Which three metrics would make this operational assessment a clear success to you and your leadership? Options: Orders per labor hour, Lines per hour, Labor cost per order, Order accuracy, Throughput (orders/day), Dock-to-ship cycle time, Inventory accuracy
    • Provide the current baseline value for each selected metric (numbers or ranges) and the minimum acceptable improvement to call the project successful.
    • What level of projected annualized savings or efficiency gain would justify a 1–2 week assessment followed by implementation (select range)? Options: <$50k, $50k–$250k, $250k–$1M, >$1M, Not yet quantified
    • How comfortable are you with short-term disruption during quick-win pilots if the projected ROI outweighs the temporary impact? Options: Very comfortable, Somewhat comfortable, Need strong safeguards, Not comfortable
    • What acceptance criteria would you want included in the prioritized improvement plan (e.g., measurable uplift, no negative impact to safety, supervisor sign-off)?

    Change Readiness — Who Will Lead the Momentum?

    • How would you describe your front-line leadership’s willingness to adopt process changes after a successful pilot—ambitious, cautious, or resistant? Options: Ambitious (eager to change), Cautious (needs proof), Resistant (change-averse), Mixed
    • What training or coaching approaches have worked best here (peer-led, supervisor-led, digital microlearning, shadow coaching)? Options: Peer-led, Supervisor-led, Digital microlearning, Shadow coaching/on-the-job, Formal classroom, Other
    • Who would be the local change champion(s) we should partner with during the assessment and pilot?
    • Are there cultural or labor considerations (union rules, shift patterns, incentive programs) that typically influence adoption? Options: Yes — unionized, Yes — incentive programs influential, No major considerations, Unsure
    • Would you prefer the assessment focus more on immediate quick wins or a balanced plan that also scopes medium-term layout or WMS changes? Options: Quick wins first, Balanced (quick wins + medium-term), Focus on medium-term redesign, Undecided

    Ready to Book the On‑Floor Assessment?

    • Which assessment length would you prefer based on your goals and available windows? Options: 1 week (focused, quick-win centric), 2 weeks (deeper coverage & interviews), Flexible — we’ll decide after kickoff
    • Who should attend the assessment kickoff meeting (select roles we should invite)? Options: Site GM, Ops Manager, WMS/IT Lead, Floor Supervisor(s), Safety Manager, Finance rep, HR/Training
    • What is your ideal target date or month to run the on-floor assessment (or the next acceptable windows)?
    • What are the top three things you want us to deliver at the end of the assessment (e.g., prioritized list of quick wins, projected labor savings, pilot script, WMS configuration gaps)?
    • Any final concerns we should address before scheduling the study (safety, confidentiality, floor morale, executive expectations)?
  3. Solution Experience

    Walk through how the prioritized changes deliver the target throughput, accuracy, and labor outcomes in the customer’s real scenarios.

    Experience Meetings

    • Solution Experience — Executive Alignment
    • Operational Scenarios Walkthrough — Real Orders, Real Floors
    • Simulation & Data Validation Workshop
    • Supervisor & Associate Validation Session (Floor Pilot Planning)
    • Solution Experience — Decision & Mutual Validation
    • Confirm training needs, job aids, and who will coach during the pilot.
    • Produce a one-page scenario proof summary showing baseline vs projected metrics.
    • Assign pilot owner(s) and set pilot start date window.
    • One-sentence current state & confirmed inputs
    • Validate simulation inputs and assumptions against operational reality.
    • Obtain stakeholder sign-off on the projected KPI improvements and the business-case translation.
    • Identify model sensitivities and residual risks to include in mitigation plans.
    • Deliver final simulation package (files, key assumptions, and a one-page executive summary).
    • List remaining data gaps and assign owners to close them before scoping.
    • Produce a sensitivity summary that will feed the mutual-commit meeting.
    • Current state & consequence recap (one sentence)
    • Secure supervisor and associate agreement that the pilot is implementable and safe.
    • Define the pilot's measurable acceptance criteria and rollback triggers.
    • Opening & Objectives
    • Prepare and distribute one-page job aids and a 30-minute supervisor training module.
    • Schedule pilot start/end dates and assign on-floor owners and observers.
    • Set up data capture for pilot metrics and a daily check-in cadence.
    • Read agreed current-state and future-state sentences
    • Secure mutual validation that the solution experience proves the future state against agreed acceptance criteria.
    • Document outstanding risks and assign mitigations and owners.
    • Gain approval to transition into the Solution Scope stage with committed sponsors and dates.
    • Finalize and distribute the Solution Experience validation packet (results, assumptions, signed acceptance criteria).
    • Obtain formal sign-off from executive sponsors to proceed to Solution Scope.
    • Create an issues register for remaining risks and assign owners with deadlines.
    • Achieve executive agreement on a clear one-sentence current-state diagnosis.
    • Ensure the business consequence is quantified and understood by all decision-makers.
    • Confirm measurable future-state targets (throughput, accuracy, labor) to guide validation.
    • Authorize the operational scenario walkthroughs and simulation workshops.
    • Sign-off on the agreed one-sentence current-state statement.
    • Confirm the target KPIs and acceptance thresholds in writing.
    • Identify and commit executive sponsors and dates for Operational Scenarios and Simulation sessions.
    • Reconfirm current state in scenario terms
    • Validate that proposed changes materially reduce travel/time and error risk in the customer's real scenarios.
    • Capture operator and supervisor feedback to refine assumptions and execution steps.
    • Define the first pilot scope and success metrics for quick wins.
    • Identify any hard constraints (equipment, WMS rules, space) that block proposed changes.
    • Document operator-identified constraints and update the scenario assumptions.
    • Current state (one sentence)
    • Review validated outputs (simulation + pilot)
    • Pilot process walk-through (roles & steps)
    • Assumption walk-through (data, WMS rules, equipment)
    • Scenario 1: Peak-day e-commerce flow
    • Run the prioritized-changes simulation
    • Scenario 2: Large/exception orders and returns
    • Open issues, constraints, and risk mitigations
    • Live or simulated pilot run
    • Quantified consequence
    • Confirm acceptance criteria and commercial-readiness triggers
    • Future state (one sentence) & target metrics
    • Translate outputs to business consequence
    • Before/after proof steps
    • Training, job-aids, and change management
    • Sensitivity & risk analysis
    • Operator & supervisor validation
    • Mutual next steps and sign-offs
    • Top-line proof points
    • Pilot metrics, acceptance criteria, and rollback triggers
    • Confirm pilot scope and quick-win sequence
    • Decision checkpoints & next steps
    • Validation & model sign-off
  4. Solution Scope

    Define modules, quick-win actions, layout and WMS changes, responsibilities, milestones, and measurable acceptance criteria.

    Scope Configuration

    • Relocate SKUs and update WMS slot locations
    • Reconfigure rack layout and aisle flows
    • Install and commission pick-to-light systems
    • Install voice-directed picking systems
    • Commission conveyor and sortation sections
    • Configure WMS pick-wave and task allocation rules
    • Publish optimized pick paths to handheld devices
    • Deploy batch- and wave-picking workflows on floor
    • Rebalance pick zones and assign picker routes
    • Implement scheduled replenishment execution routines
    • Install carton-flow lanes for fast movers
    • Rework and standardize packing station layouts
    • Configure WMS cycle-counting and execute cycles
    • Deliver hands-on supervisor and associate training

    Scope Questions

    Relocate SKUs and update WMS slot locations

    • Which SKU segments should be prioritized for relocation? Options: Top unit-volume movers, Top order-line movers, Seasonal items, Oversize/odd-form, Slow movers, All SKUs
    • How many unique SKUs and active locations should be included in the relocation scope?
    • Can your WMS accept bulk slot-location updates via API or file import? Options: API (fully automated), CSV/import template, Manual updates only, Unknown / need help to verify
    • Are there physical or regulatory constraints that must be respected when relocating SKUs (e.g., weight limits, temperature, hazardous materials)? Options: Yes, No
    • What acceptance criteria should we use to confirm the relocation succeeded (e.g., travel feet/order reduction %, pick rate increase, accuracy targets)?

    Reconfigure rack layout and aisle flows

    • Which areas of the facility are in scope for rack or aisle reconfiguration? Options: Receiving/putaway, Bulk storage, Pick modules, Packing/ship, Entire facility
    • What constraints affect layout changes (e.g., building columns, full-height clearances, fire exits, forklift aisles)?
    • Are new aisle widths or traffic patterns allowable (e.g., convert two-way to one-way, add cross-aisles)? Options: Yes - open to major change, Yes - minor adjustments only, No - changes limited, Unknown
    • Do you have updated as-built facility drawings and rack unit elevations available? Options: Yes - CAD/DWG, Yes - PDFs, Partial, No
    • What KPI improvement target should layout changes aim for (e.g., % throughput, % reduction in travel, safety metrics)?

    Install and commission pick-to-light systems

    • Which pick areas or SKUs are candidates for pick-to-light (e.g., high-velocity SKUs, kitting lanes)? Options: Fast movers / top SKUs, Kitting/assembly, Replenishment points, High-accuracy SKUs, None
    • Do you have existing electrical, network, and mounting infrastructure where pick-to-light will be installed? Options: Yes - sufficient, Partial - needs upgrades, No - needs full installation, Unknown
    • Is integration with your WMS required for real-time pick validation and inventory updates? Options: Yes - full integration, Yes - batch updates acceptable, No - standalone preferred, Unknown
    • What uptime and accuracy targets must the pick-to-light solution meet to be accepted?
    • Preferred deployment approach for pick-to-light: pilot in a zone or full-area rollout? Options: Pilot zone first, Phased by module, Full rollout at once, Undecided

    Install voice-directed picking systems

    • Which picking processes are candidates for voice (e.g., single-line picks, multi-line picks, replenishment, putaway)? Options: Single-line order picking, Multi-line bulk picking, Replenishment, Putaway, All of the above
    • What languages and dialects must voice recognition support for your workforce?
    • Do you require integration with handheld devices, WMS, or labor management systems? Options: WMS integration required, Handheld-only, Standalone voice, Integration with LMS/TMS required
    • Are there noise or safety conditions on the floor that could affect voice performance? Options: High ambient noise, Moderate noise, Low noise, Unknown
    • What performance improvements or metrics (e.g., picks/hour, error rate) will validate success for voice picking?

    Commission conveyor and sortation sections

    • Which conveyor/sortation sections are in scope for commissioning or expansion? Options: Inbound consolidation, Pick-to-pack feed, Carton sortation, Pallet sortation, Entire system
    • Does the mechanical system require new drives, sensors, PLC logic, or software integration? Options: Mechanical only, Control/PLC updates, WCS/WMS integration, All of the above
    • Are there throughput or parcel profile targets the conveyor/sorter must meet?
    • What downtime window can you allocate for on-floor commissioning and cutover? Options: Overnight shifts, Weekends, Phased live cutover, No downtime available
    • Who are the owners/contacts for mechanical, controls, and IT during commissioning?

    Configure WMS pick-wave and task allocation rules

    • Which picking strategies are you currently using or considering (e.g., discrete orders, waves, batches, zone picking)? Options: Discrete orders, Wave picking, Batch picking, Zone picking, Hybrid
    • What target constraints should wave/task allocation honor (e.g., shift capacity, weight limits, shipping cutoffs)?
    • Does your WMS support dynamic task allocation and real-time rebalancing? Options: Yes - native support, Yes - with customization, No - limited capability, Unknown
    • Are there seasonality or peak windows we should model in pick-wave configuration? Options: Yes - defined peaks, Occasional spikes, No consistent seasonality, Unknown
    • What key outcome measures should task allocation optimize (e.g., order cycle time, labor utilization, on-time ship)?

    Publish optimized pick paths to handheld devices

    • Which handheld device platforms and OS versions are used on the floor? Options: Android, Windows CE/Embedded, Proprietary, Mixed/Unknown
    • Do you require map-based pick paths, rank-based optimization, or both? Options: Map-based (distance), Rank-based (velocity-driven), Both, Undecided
    • Can your WMS accept pick-path updates in real time or via scheduled file refresh? Options: Real-time API, Scheduled import, Manual update only, Unknown
    • Are pick-path constraints needed for heavy items, hazardous items, or cross-aisle rules? Options: Yes - heavy/constraints, No - no special constraints, Some items only, Unknown
    • What success metrics will validate handheld pick-path optimization (e.g., travel ft/order, picks/hour)?

    Deploy batch- and wave-picking workflows on floor

    • Which workflow(s) are you planning to deploy first: batch picking, wave picking, or a hybrid? Options: Batch first, Wave first, Hybrid, Undecided
    • What are peak order profiles and average order lines that the workflow must support?
    • Do you have physical staging or consolidation areas suitable for batch/wave operations? Options: Yes - adequate, Partial - needs improvement, No - require setup
    • What consumer SLA or ship-cutoff times constrain wave release frequency?
    • Which roles will be responsible for wave planning, monitoring, and exception handling?

    Rebalance pick zones and assign picker routes

    • How many pick zones and full-time pickers currently operate per shift?
    • Are zones static by SKU or dynamically sized by volume/pick density? Options: Static by SKU, Dynamic by volume, Hybrid, Unknown
    • Do you want route assignments based on headcount, travel time, or throughput targets? Options: Headcount-balanced, Travel-time optimized, Throughput-targeted, Combination
    • Are there physical or equipment limits (e.g., lift reach, cart sizes) that affect picker routes? Options: Yes, No, Partially
    • What KPI improvement is needed to justify zone rebalance (e.g., % increase in picks/hour or reduction in overtime)?

    Implement scheduled replenishment execution routines

    • Which replenishment models are you using or considering (min/max, time-based, demand-driven, Kanban)? Options: Min/Max, Time-based (scheduled), Demand-driven (par), Kanban, Hybrid
    • How frequently should replenishment runs execute (e.g., hourly, shift-based, daily)? Options: Hourly, Per shift, Twice daily, Daily, Ad hoc
    • Does your WMS support automated replenishment creation and wave inclusion? Options: Yes - native, Yes - with customization, No - manual required, Unknown
    • Are there physical constraints for replenishment (e.g., travel distance from bulk to pick face, lift access)? Options: Yes, No
    • What acceptance criteria will confirm replenishment routines are effective (e.g., out-of-stock rate, pick interruptions reduced)?

    Install carton-flow lanes for fast movers

    • Which SKUs or SKU families are eligible for carton-flow lanes (based on size, velocity, and cube)? Options: Top fast movers, Medium turnover, Kitting items, Not applicable
    • Do you have rack sections and elevations compatible with carton-flow installation? Options: Yes - compatible, Partial - modifications needed, No - new racking required, Unknown
    • What throughput or pick-rate targets should carton-flow lanes achieve to be deemed successful?
    • Is there a preferred pilot zone or aisle for proving carton-flow before wider rollout? Options: Yes - identified zone, No - need recommendation, Undecided
    • Do you require integration of carton-flow locations into WMS pick faces and replenishment logic? Options: Yes, No, Partial

    Rework and standardize packing station layouts

    • How many packing stations and shift configurations are in scope for redesign?
    • What packing processes do you run (single-item pack, multi-item orders, kitting, dimensioning/scanning)? Options: Single-item pack, Multi-item pack, Kitting, Auto-dimensioning/scanning
    • Are there ergonomic, safety, or equipment standards that must be included in the packing layout? Options: Yes - specific standards, No - general guidance, Unknown
    • Do you want standardized packing kits (station tools, materials) and SOPs rolled out with the layout change? Options: Yes - required, Optional, No
    • What acceptance metrics should packing redesign meet (e.g., pack time/order, pack accuracy, damage rate)?
  5. Mutual Commit

    Finalize commercial terms, governance, dependencies, and confirm readiness criteria, budget approval, and stakeholder sign-off.

    Agreement Modules

    • Statement of Work (SOW)
    • Master Services Agreement (MSA)
    • Commercial Terms & Pricing Addendum
    • Payment Schedule & Invoicing Terms
    • Customer Purchase Order (PO) / Procurement Approval
    • Budget Approval & Finance Sign-Off
    • Governance & Escalation Plan
    • Acceptance Criteria & Success Metrics
    • Resource & Responsibility Commitment
    • Implementation Schedule & Milestones
    • Data Access, Integration & Security Authorization
    • Change Control & Scope Management
    • Risk & Dependencies Register
    • Training & Change Management Sign-Off
    • Confidentiality & Data Processing Addendum
  6. Deployment

    Operationalize rollout with readiness checks, enablement, and outcome validation.

    1. Pre-Deployment Readiness

      Confirm data and system access, floor access windows, owners, supervisor training plans, and risk controls to minimize disruption.

      Readiness Questions

      Quick Grounding: Who we’re working with and what matters now

      • Who are the primary stakeholders for this deployment (name, role, and best contact) and who should be looped into day‑to‑day coordination?
      • Which of your sites or lines are in scope for this rollout? Options: Single DC/site, Multiple DCs/sites (same region), Multiple DCs/sites (multi-region), Pilot only (one area)
      • What are the top three business outcomes that would make this deployment a clear success for you?
      • By when do you need to see measurable improvement (e.g., ⩾X% throughput gain or Y labor hours saved)? Options: 30 days, 60 days, 90 days, 6 months, Other
      • Which of these best describes your internal view of readiness today? Options: Ready to start within weeks, Need one to two months to prepare, Require >2 months and approvals, Unsure—need a checklist

      If this goes wrong, whose phone rings at 6AM?

      • If implementation caused a meaningful disruption, what would the tangible business impact look like (e.g., missed ship windows, overtime spikes, safety incidents)?
      • Tell us about the last time a systems or process change caused pain—what happened, who scrambled, and how long did recovery take?
      • Which of these outcomes would be unacceptable and trigger an immediate rollback? Options: Missed committed shipments, Safety incident, Severe accuracy drop (>X%), Production stoppage, Other
      • How much short‑term performance variance (e.g., % throughput drop) would you tolerate during cutover to achieve long‑term gains? Options: None—must maintain baseline, Up to 5% dip, Up to 10% dip, Dependent on duration / tradeoff, Unsure
      • Who would make the call to pause or roll back a change during deployment?

      Where are the hidden locks — systems, data, and access we must clear first

      • Which WMS, ERP, labor management, or material handling controls will our team need API access, admin accounts, or scheduled exports from?
      • Do you have a single IT/automation contact who owns system access and security approvals? Options: Yes—named contact, Yes—team contact, No, not yet identified, Partially identified
      • Are there scheduled change freezes, blackout windows, or compliance windows we must avoid? Options: Weekly maintenance windows, End-of-month/quarter freezes, Peak season blackout dates, No regular freezes, Unsure—need to confirm
      • How complete are the data feeds we’ll need (inventory locations, order profiles, pick/pack metrics) on a scale from 1–5—where 1 is poor and 5 is ready? Options: 1 - Poor, 2 - Needs work, 3 - Partially ready, 4 - Mostly ready, 5 - Ready
      • If sample data extraction is required, who will approve and deliver it and how long will that take?

      Who pulls the levers — ownership, decision speed, and approval realties

      • Who is the executive sponsor who will defend the program when tradeoffs are tough?
      • Who is responsible for day‑to‑day deployment decisions (site manager, project manager, IT lead, 3PL operations lead)? Options: Site/Operations Manager, Program/PMO Manager, IT/Automation Lead, 3PL/Partner Ops Lead, Other
      • Which internal groups must sign off before we schedule a production cutover? Options: Operations, IT/Security, Finance, Safety/Compliance, HR/Union, Facilities
      • How fast can contracts, change orders, or purchase approvals be completed (typical internal lead time)? Options: <1 week, 1–2 weeks, 2–4 weeks, >4 weeks, Varies by spend
      • If executive priorities shift mid‑project, who will revalidate go/no‑go decisions and what is that escalation path?

      Can your floor absorb change without derailing daily ops?

      • Describe your shift patterns, peak days, and seasonal constraints we must plan around (include overtime flexibility).
      • What floor access windows are realistically available for disruptive work (night shifts, weekend windows, early morning pre‑ship)? Options: Night shifts, Weekends, Early mornings, Off‑peak weekdays, No access windows
      • Are there physical constraints (narrow aisles, high traffic zones, staging limits) that limit where we can run pilots or make layout changes?
      • Do you have spare labor or float teams that can support pilots or quick‑win activities without affecting commitments? Options: Yes—dedicated float, Yes—can reassign for short windows, No—no spare capacity, Sometimes depending on season
      • What health, safety, or union considerations must we include in our deployment sequencing?

      Will supervisors and associates actually use the new process?

      • How would you describe frontline sentiment toward change right now—energized, skeptical, burned out, or mixed? Options: Energized/curious, Skeptical but cooperative, Burned out/resistant, Mixed across teams
      • Who are the natural champions on the floor we can train first to model behavior and coach peers?
      • What training formats work best for your teams (micro‑learning, classroom, shadowing, video, laminated job aids)? Options: Micro‑learning modules, In‑class sessions, On‑floor shadowing, Short videos, Printed job aids, Other
      • Do you have language, literacy, or cultural barriers we should design training around? Options: Yes—multiple languages, Yes—low literacy, No significant barriers, Unsure
      • How do you measure and reward supervisor follow‑through on new processes today (scorecards, bonuses, recognition)?
      • Would you prefer the initial supervisor training to be delivered by your managers alongside our team, or led entirely by our trainers? Options: Co‑delivered with your managers, Delivered by our trainers, Train‑the‑trainer model, Unsure

      What guardrails, pilots, and rollback plans will keep leadership sleeping at night?

      • Before go‑live, what are the non‑negotiable acceptance criteria you require (e.g., accuracy floor, throughput floor, safety checks)?
      • Would you prefer a canary/pilot lane approach, phased area rollouts, or a full cutover—what tradeoffs matter most to you? Options: Canary/pilot lanes, Phased area rollouts, Full cutover, Hybrid approach
      • What escalation path and stakeholders do we call if a pilot shows unanticipated negative impact within the first 72 hours?
      • What backup processes or manual workarounds would you accept temporarily if an automated change failed? Options: Manual pick lists, Paper packing, Temporary re‑slotting, Increased QA checks, Other
      • How soon after a problem is detected do you expect a recovery plan to be enacted and by whom? Options: Immediate (within hours), Same day, Next business day, Depends on severity

      How will success be recognized, measured, and owned after deploy?

      • Which KPI(s) will we use as the formal acceptance gates (pick throughput, lines per hour, picks per FTE, accuracy, OT hours)? Options: Throughput (orders/day), Picks per hour / per FTE, Order accuracy, Labor hours / cost, On‑time shipments, Other
      • What are the baseline values for those KPIs today (please provide numbers or attach baseline report)?
      • Who owns the performance dashboard post‑deployment and how often will metrics be reviewed? Options: Site Operations Lead, Continuous Improvement/CI, Program PMO, Joint ops/consulting review
      • Are you open to a 60–90 day sustain plan that includes on‑floor coaching, weekly checkpoints, and incremental adjustments? Options: Yes—required, Yes—optional, No—internal only, Unsure
      • What will trigger extended support beyond the sustain window (e.g., KPI targets not met, additional site rollouts)?

      Final mile: what do you need from us to say ‘yes’ and schedule deployment?

      • What outstanding dependencies or deliverables must be in place before you can approve a go‑live date (procurements, approvals, staffing, data extracts)?
      • Which date ranges are off limits for any disruptive work (peak promos, inventory counts, fiscal close)?
      • How would you like regular project communications to be formatted and scheduled (daily standup, weekly exec summary, dashboard access)? Options: Daily standup, Weekly operations review, Biweekly executive summary, Live dashboard access, Ad hoc as needed
      • What outstanding commercial or governance questions need resolution before contracting/PSA signatures?
      • If we agreed on a proposed pilot window today, how long would you need to finalize internal approvals and confirm the start date? Options: <1 week, 1–2 weeks, 2–4 weeks, >4 weeks
    2. Deployment Execution

      Execute the phased rollout—quick wins first, then larger changes—with owners, Gantt milestones, and operational checkpoints.

    3. Validation & Sustain

      Verify acceptance criteria, monitor performance for 60–90 days, coach supervisors and associates, and adjust to sustain measurable gains.

      Validation Questions

      Getting on the Same Page

      • To get started, tell us your role and the type of distribution operation we’re talking about (pick the closest match). Options: VP Supply Chain, Director of Distribution, Warehouse GM/Operations Manager, Plant Operations / Manufacturing, Other
      • How many distribution centers does this team operate and which shift pattern applies to the site we're discussing? Options: 1, 2–5, 6–10, 10+
      • What channels and order profiles primarily flow through this facility? (select all that apply) Options: E‑commerce / DTC, Retail replenishment, Wholesale / B2B, Manufacturing supply, Omnichannel mix
      • Roughly, what is your current average orders shipped per day (or peak day if that’s more relevant)? Options: <500, 500–2,000, 2,001–10,000, 10,001–50,000, 50,000+
      • Who will be our day‑to‑day point person for operations during a discovery and assessment?

      Are You Settling for 'Good Enough'?

      • If you had to name the one compromise your team tolerates today that quietly blocks performance improvements, what is it?
      • How often does that compromise cause you to miss targets or trigger urgent firefights? Options: Daily, Weekly, Monthly, Quarterly, Rarely
      • When these issues surface, how do they typically feel for you and the leadership team—annoyance, embarrassment, financial pressure, or something else? Options: Annoyance, Embarrassment with leadership, Direct financial pressure, Team morale impact, Customer complaints, Other
      • Can you describe a recent day or week when this tolerated problem had a clear operational or financial consequence? What happened?
      • How long have you been operating with this compromise before actively considering an outside partner? Options: <3 months, 3–12 months, 1–2 years, 2–5 years, 5+ years

      What's Really Causing the Slowdown?

      • Which operational constraint do you suspect is the single biggest root cause of your throughput or accuracy gap, even if it hasn’t been fully validated?
      • Which of the following constraints are present today? Select all that apply and highlight the top two that matter most. Options: WMS configuration or rules, Facility layout / aisles / pallet flows, Slotting and inventory placement, Pick path and batching logic, Material handling equipment capacity, Labor availability and scheduling, Order profile volatility, Inventory accuracy
      • Do you currently have reliable measures for travel distances, pick/pack times, and order profiles? If yes, how recent are those studies? Options: Yes — within 3 months, Yes — 3–12 months, Yes — older than 12 months, No reliable measures currently
      • How would you describe your WMS: highly configurable and customized, out‑of‑the‑box with basic config, or older legacy system with functional limits? Options: Highly customized modern WMS, Standard configurable WMS, Legacy or heavily constrained WMS, We don’t use a formal WMS
      • Give one specific example of a daily bottleneck you want us to see on the first day of the on‑floor study.

      Who Holds the Keys (and the Budget)?

      • If you had to get one person’s attention to greenlight this project, who would it be and why would their buy‑in matter most?
      • Which internal stakeholders will influence or approve the final decision? (select all that will be involved) Options: VP Supply Chain / COO, Finance / FP&A, Warehouse GM / Site Ops, IT / WMS Team, Procurement, HR / Labor Relations, Safety / EHS
      • Who controls the budget for projects of this size—operations, capital planning, or corporate finance? Options: Operations (site budget), Regional / Divisional budget, Corporate Finance / Capital approval, Mixed—depends on project size
      • What is your typical internal approval timeline for initiatives that require both process change and modest capex (choose the closest) Options: 2–4 weeks, 1–2 months, 3–6 months, 6+ months
      • When past projects were approved, what evidence moved finance or leadership to say yes (e.g., ROI models, pilot results, reference visits)? Options: ROI model, Pilot / PoC results, Peer references / site visits, Executive sponsorship, Regulatory or contractual need

      If This Worked, What Would Keep You Up at Night?

      • What single implementation failure would make you regret approving this project?
      • Which of these concerns most influences your risk tolerance for changes on the floor? Options: Production disruption during peak, Safety incidents, Loss of short‑term throughput, Supervisor / associate resistance, WMS downtime / data integrity, Contractor coordination
      • How much planned disruption is acceptable to achieve the target gains—none, short windows, night/weekend work, or full temporary slowdown? Options: No disruption, Short window interventions, Night/weekend changes ok, Acceptable temporary slowdown
      • Tell us about a past change that didn’t go as planned—what went wrong and what would you want done differently this time?
      • Who on your team needs the most reassurance during deployment and what reassurances are most effective (data, pilots, training, incentives)? Options: Supervisors, Associates/operators, IT/WMS team, Finance, Safety/EHS

      Show Me the Numbers That Matter

      • Which KPI do you feel people point to as proof of success but in reality can mask real problems?
      • Please provide your current baseline values for the following (enter values or 'unknown'): orders/day, lines/hour per picker, picks per hour, case/hour (for equipment), order accuracy %, labor hours per 1,000 orders.
      • Which of these metrics do you already track on a dashboard and which are manually calculated? Select all tracked automatically. Options: Orders/day, Lines/hour, Order accuracy %, Labor hours / FTEs, OT hours, On‑time shipping %
      • How frequently do you review these KPIs (daily standup, weekly ops review, monthly exec review)? Options: Daily, Weekly, Monthly, Ad hoc
      • What level of measurement fidelity do you require for our 1–2 week on‑floor study to be credible to your stakeholders? Options: Minute‑by‑minute timing and travel mapping, Aggregate cycle time and travel samples, Order profile sampling only, High level estimates are sufficient

      Quick Wins vs Big Bets — Which Needs to Happen First?

      • If you could force one immediate change that would prove our approach within 30 days, what would it be?
      • Which quick wins have you tried in the last 12 months and what was the result? (slotting, pick routes, batching, signage, training, incentives) Options: Slotting changes, Pick path adjustments, Batching / wave changes, Supervisor coaching, Signage / Standard Work, Incentives / gamification, We haven’t tried quick wins recently
      • How do you prioritize quick wins vs larger investments—speed of ROI, lowest disruption, leader preference, or other? Options: Speed of ROI, Lowest disruption, Strategic long‑term benefit, Leader preference, Other
      • If we focused on quick wins first, what internal resource could you commit immediately (people hours, testers, supervisor time)? Options: Full‑time site coordinator, Part‑time supervisor support, Operational analysts, No immediate resources available
      • What timeline would convince you that quick wins are working (2 weeks, 30 days, 60 days)? Options: 2 weeks, 30 days, 60 days

      How Will Your People Make It Stick?

      • Who on your front line has the most influence over whether a new process becomes permanent—and what motivates them (safety, bonuses, easier work, recognition)?
      • What is the average tenure and bench strength of your supervisors and lead hands who would own daily sustainment? Options: <1 year, 1–3 years, 3–7 years, 7+ years
      • What training and coaching models have worked best historically (classroom, on‑the‑job shadowing, digital micro‑learning)? Options: Classroom training, On‑the‑job coaching, Digital micro‑learning, Train‑the‑trainer, Blended approach
      • How do you prefer to handle governance for new processes—weekly ops review, daily huddles with scorecards, or monthly executive checkpoints? Options: Daily huddles with scorecards, Weekly operational reviews, Monthly executive checkpoints, Ad hoc problem‑driven
      • Are there labor agreements, union rules, or safety requirements we must design around? If yes, please summarize. Options: Yes — union/agreements, Yes — safety/regs only, No special constraints

      What Would Success Look Like in 90 Days?

      • Imagine it’s day 91 after deployment and the project exceeded expectations—what three measurable changes would tell you we hit a home run?
      • Which outcomes are highest priority for sign‑off at the end of the sustain period? (select up to three) Options: Throughput increase (orders/day), Reduction in labor hours per order, Improved order accuracy %, Reduced OT, Fewer customer complaints/chargebacks, Improved associate engagement
      • What acceptance criteria or gating metrics will your team require before declaring the project successful?
      • Who will own the post‑implementation dashboard and daily monitoring once the project moves into sustainment? Options: Site Ops / Warehouse GM, Continuous Improvement / IE team, Regional Ops lead, IT / Business Intelligence
      • How often would you want coaching check‑ins during the 60–90 day sustain period (weekly, biweekly, monthly)? Options: Weekly, Biweekly, Monthly, Ad hoc as issues arise

      Ready to Move? Next Steps and Commitments

      • What single commitment from your side would remove the biggest obstacle to starting the operational assessment next month?
      • Which systems and data will we need access to for a meaningful assessment (select all that apply)? Options: WMS (transactional access), WMS reports only, Labor management system, Inventory / ERP, Time & attendance, No direct system access—manual sampling only
      • What floor access windows, peak blackout periods, or seasonal constraints should we plan around?
      • Who needs to be in the kickoff meeting and who will be the executive sponsor we’ll report results to?
      • Realistically, what is your target go‑forward timeline for decision and kickoff (immediate, 30 days, 60–90 days, next quarter)? Options: Immediate / This week, Within 30 days, 60–90 days, Next quarter or later
  7. Success

    Review outcomes against baselines, capture learnings, and maintain a shared channel for issues and continuous improvement.

    Success Reviews

    • Executive Outcome Review
    • Operational Validation & Sustainment Review
    • Lessons Learned & Continuous Improvement Workshop
    • Issues, Escalation & Shared Channel Setup
    • Customer Reference & Success Story Review

    Issues & Enhancements

    • Create the shared channel and invite operational and consulting participants.
    • Verify which operational acceptance criteria are met and which require remediation.
    • Handoff day-to-day ownership and monitoring to named operational leads.
    • Agree on remediation experiments with owners, success metrics, and timelines.
    • Finalize and publish SOPs and quick-reference job aids reflecting the new processes.
    • Assign supervisor coaches and schedule weekly check-ins for the next 8 weeks.
    • Create a short remediation experiment plan for any unmet acceptance criteria.
    • Frame the Workshop
    • Produce a prioritized CI backlog with owners, impact estimates, and timelines.
    • Document 5–8 concrete lessons learned and recommended process adjustments.
    • Define 2–3 experiments to iterate on remaining gaps with clear metrics and owners.
    • Publish the CI backlog in the agreed collaboration tool and notify owners.
    • Schedule the first CI review checkpoint (30 days) and assign facilitator.
    • Create experiment charters for top 3 items including success metrics and sample size.
    • Purpose & Expected Benefits
    • Agree and provision a shared communication channel for issues and continuous improvement.
    • Confirm escalation path, response SLAs, and named owners for incident types.
    • Validate alerting and runbook access with a test incident.
    • Welcome & Objective
    • Configure dashboard alerts and link them to the channel.
    • Publish the escalation matrix, runbooks, and contact list in the channel.
    • Purpose & Benefits
    • Obtain customer agreement on which outcomes can be published and the draft narrative.
    • Secure at least one operational and one executive reference contact.
    • Agree on timeline and approvals required for public-facing materials.
    • Produce the first draft of the case study with proposed metrics and circulate for customer review.
    • Collect signed permission or redline from customer legal/compliance if required.
    • Confirm availability of reference contacts and schedule reference calls/events.
    • Confirm measured outcomes meet the defined acceptance criteria or document remaining gaps.
    • Secure executive decision on continued funding, scope expansion, or formal project closure.
    • Align sponsors on governance and reporting cadence moving forward.
    • Distribute final KPI dashboard and executive one-pager summarizing financial impact.
    • Capture executive decision and required approvals with deadlines.
    • Assign sponsor for ongoing governance and monthly executive updates.
    • Meeting Context & Baseline Recap
    • Current State Restatement
    • Shift-Level Performance Evidence
    • Successes: What Delivered Value
    • Choose Communication Channel & Structure
    • Review Measured Outcomes for Publication
    • Acceptance Criteria Walkthrough
    • Results Summary vs Baseline
    • Draft Narrative Walkthrough
    • Define Alerting & Thresholds
    • Failures & Surprises
    • Structured Root-Cause Mapping
    • Permission, Legal & Data Sensitivity
    • Financial Consequence & ROI
    • Escalation Matrix & SLAs
    • Coaching & Training Outcomes
    • Reference Contacts & Availability
    • Backlog Prioritization (Impact vs Effort)
    • Sustainment Plan & Owners
    • Risks, Deviations & Root Causes
    • Roles, Ownership & Handoffs
    • Decision & Next Steps
    • Immediate Remediation Tasks
    • Publication Timeline & Next Steps
    • Tooling & Integration Tasks
    • Define Experiments & Metrics
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