Site leaders
One view of goal, pace, and risk across every department, plus the decisions made along the way.
AI-assisted warehouse operations
Know what your warehouse needs before the shift falls behind.
Shift Command connects goals, live output, staffing, and barriers into one command center, then helps your team decide what to do next. People stay in charge of every operational decision.
Toggle Day and Night on the sample to see how status, pace, and data freshness are shown.
Command CenterSample data
Approved goal130,000Baseline 150,000
Units shipped68,900Expected now 71,500
Gap to pace−2,600vs. expected by now
Projected end125,2734,727 short (est.)
Day shift · 06:00–18:00 · 4h 30m productive time leftProjected: Watch
Receiving 38/38 staffed105% of pace
Pick 84/92 staffed91% of pace
Pack 54/56 staffed97% of pace
Ship 36/38 staffed96% of pace
Priority: Review Pick coverage: 8 positions open since 10:40. Two eligible Pack associates are available without dropping Pack below its minimum.
Every shift asks the same four questions: What is happening? Where is the constraint? What can we responsibly do next? What should the next shift know? Shift Command answers them from your own data.
The platform
Six capabilities. One operating picture.
Command Center
Goal, output, expected pace, projection, staffing, and alerts for the active shift, with the age of every reading shown.
AI Operations Assistant
Ask why a department is behind or who can help. Answers separate observed facts from possible explanations.
Labor Planning
Recommendations that respect qualifications, training holds, restrictions, and donor-department minimums.
Barrier Intelligence
Log equipment issues and process barriers with time windows, owners, and actions, then spot recurring causes.
Shift Handoffs
Unresolved work, open reservations, and opening priorities carry forward to the next shift automatically.
Executive Reporting
Baseline, approved goal, revisions, and final output kept as separate records for honest comparisons.
AI Operations Assistant
Explanations you can check. Proposals you approve.
The assistant works from the records your role can access. Each answer lists the observed facts, possible explanations, proposed actions, missing information, and when to check again. It does not invent readings, workers, or causes, and it does not move anyone.
How the assistant worksOperations AssistantScripted example
Why is Pick falling behind?
Observed facts
- Pick is at 66,200 units vs. 72,600 expected by 11:30 (91% of pace).
- Pick has 84 of 92 planned associates since 10:40.
- Conveyor C2 jam logged 10:52–11:14 in the Pick barrier record.
Possible explanations
- The staffing gap and the C2 jam overlap in time; either may explain part of the gap.
- The records show timing, not cause. Correlation alone does not establish which factor mattered more.
Proposed actions
- Review the two eligible Pack associates for a temporary move (Pack stays above its minimum).
- Ask maintenance to confirm C2 is clear and record the resolution time.
Constraints & missing information
- Rate data for the moved associates in Pick is not available yet.
- One Pick-qualified associate is on a training hold and is excluded.
Next checkpoint
Recheck Pick pace at 12:30 using the next production reading.
Scripted against synthetic sample data. In the product, answers cite records your role can access, and nothing is changed without human approval.
Operating workflow
Plan → Track → Understand → Act → Learn
Plan
Approve the shift goal and staffing plan. Revisions are kept, never overwritten.
Track
The active shift is detected from your schedule. Readings arrive with timestamps and freshness.
Understand
See expected pace, projections, and which department is the constraint.
Act
Review evidence-based options. People approve moves; arrivals are confirmed by source events.
Learn
Closeout records results, actions, and measured outcomes for the next similar issue.
Integrations & data sources
Start with an export. Connect when it is validated.
Begin with a synthetic demo, then an authorized CSV or de-identified export, then a read-only feed. Every field is mapped and validated for timestamps, time zone, units, and shift identity. Missing data stays visibly missing.
Integration approachWMS dataUnits, waves, and backlog by process stage.
Labor systemsStaffing, qualifications, and assignment events.
Equipment eventsStops, faults, and recoveries with time windows.
CSV & custom APIStart with an authorized export, then a read-only feed.
Leadership & department use cases
The same facts, at the level each leader needs.
Operations managers
Spot the constraint early, compare labor options, and approve moves with the tradeoffs in view.
Department managers
Targets, staffing coverage, and open issues for your area, updated from the source.
Regional leadership
Comparable Day and Night results, recurring barriers, and trends across facilities.
RUN YOUR WAREHOUSE FROM ONE COMMAND CENTER
See Shift Command against your operation.
Walk through a synthetic shift, then talk through your data sources and a practical path to a trial.