Solutions
WareBee foroperations managers .
Your day is firefights: a slow wave, a missing picker, a dock that backed up. WareBee gives you the live picture and the why behind it — so the next shift is planned on evidence, not gut feel.
Book a demoOperations Managers
From firefighting to foresight.
Live floor visibility
Activity, KPIs and productivity per resource, updated as the shift runs — no report tickets.
Every scan and location move updates the same view a supervisor already has open, so a slowdown in receiving shows up mid-shift instead of in a report compiled the next morning. The supervisor reassigns a picker to the backlog while the wave is still running, not after the numbers land in an inbox and the moment to act has passed.
Shift & wave planning
The FTEs each wave actually needs, by zone and picking method, before the shift starts.
The morning's order file runs through the same wave logic the floor will execute, so the headcount plan reflects today's actual mix of single-line and multi-line orders rather than a generic shift roster. A manager walks into the pre-shift huddle already knowing which zone is short-handed, instead of finding out once the queue backs up.
Congestion alerts
See aisles jam before pickers do, and re-sequence work while it still matters.
The model tracks how many tasks are due through each aisle in the next few minutes, not just who's standing there now, so three waves converging on one pinch point surfaces while there's still time to hold one back. The alert appears as a highlighted zone on the floor view, not a phone call after the queue backed up.
Root-cause analysis
When a day goes wrong, trace it to the events that made it go wrong — in minutes.
Every event that touched a wave — a late truck, a picker pulled to cover another zone, a location that came up empty — sits on one connected timeline instead of three separate systems a manager has to reconcile by hand. The postmortem starts from that chain, so the meeting spends its time on the fix, not reconstructing what happened.
SLA & OTIF dashboards
On-time performance tracked continuously, with the leading indicators that predict a miss.
The dashboard watches the inputs that move before the deadline does — pick pace against the remaining order count, dock availability against the truck schedule — so a wave trending toward a miss flags itself hours out, not at the cutoff. A manager reallocates pickers while there's still a wave to save, not a customer to apologise to.
Ask AI
"What are our picking rates by zone?" — answers as charts, grounded in your own data.
The question gets parsed against the same event data the floor view already runs on, so the chart that comes back reflects this week's actual assignments, not a canned report built for a different layout months ago. A question asked in the stand-up gets answered before the meeting ends, instead of becoming a follow-up task for someone to run later.