ANONYMISED ENGAGEMENT

Case Study

What we built, and how we measure it. Targets are published as targets, never as results.

WAREHOUSE EXECUTION & VOICE PICKING
Client anonymised

How a 15-site 3PL rebuilt its picking flow on top of its existing WMS.

3PL Operator15 warehousesHigh-volume pick & packClient anonymised at their request
✕ Before
  • ×Picking ran on expensive handheld terminals; pickers walked empty aisles and waited for the next task
  • ×Waves were fixed at shift start; a late inbound or a hot order broke the plan and no one re-planned live
  • ×Pack and QC bottlenecks were found late, after the carrier cut-off was already at risk
  • ×Floor performance was invisible until the shift was over, so overtime absorbed the gap
✓ What we built

We deployed the WES execution layer of the Operations Brain on top of their WMS across all fifteen sites, with hands-free voice-directed picking. The system builds dynamic picking waves from live demand, directs each picker by voice to the next best task and the shortest path, and keeps people and any robots working in sync. It catches a bottleneck the moment it forms and re-sequences pick, pack and QC within each customer's SLA. Critical actions stay human-approved, on your approval, and control stays with you.

🎧Hands-free picking on a phone, voice and visual guidance
🌊Dynamic waves built from live demand
🧭Next-best-task and shortest-path routing
Live bottleneck detection in pack and QC
🤖People and robots kept in sync
📊Live pick, pack and ship KPIs across 15 sites
Targets agreed before deployment
+15%
Pick throughput (UPH) — target
+10%
On-time ship / SLA — target
−20%
Overtime in peak — target
−30%
Mispicks / rework — target

These are the targets agreed with the client against their own WMS baseline before go-live. We publish targets as targets. When a deployment completes and the numbers are measured, we publish the measurement instead.

What we observed

The clearest change was not a number. It was that the waves stopped needing a person. When a late inbound broke the plan mid-shift, the plan rebuilt itself and the floor kept moving — instead of a supervisor discovering the problem an hour later and absorbing it with overtime.

Our own observation. Client anonymised at their request; figures relate to this engagement only and are not a promise of results in another operation.

Your operation is next.

One painful workflow, a prototype on your data, measured against the numbers you already report.