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Segment
Workforce
Timeline
90 days
Modules used
AI Operations · AI Logistics · AI Insights

How an enterprise turned workforce into intelligence.

A national distributor replaced manual scheduling and reactive supervision with AI-driven workforce execution — and lifted productivity 30-60% across warehouse and field teams.

Forklift operator moving pallets inside a distribution warehouse
The Challenge

What wasn't working.

The distributor employed 340 warehouse and field staff across six locations. Productivity varied wildly: some teams hit targets, others missed by 40%. Supervisors spent their days on the warehouse floor reacting to whatever fire was burning hottest. There was no system that connected daily targets to daily execution.

  • Productivity gaps of up to 40% between identical-spec warehouses
  • Supervisors firefighting daily — no time for planning or coaching
  • No real-time view of who was doing what, where, when
  • Performance reviews based on month-end summaries, weeks too late to fix anything
The Solution

How Lumanw changed it.

Lumanw deployed the AI Operations workforce module across all six warehouses. Daily throughput targets were forecasted by AI based on inbound orders. Each worker received their daily plan on the Warehouse App. Live progress flowed to supervisors. AI flagged outliers — both positive and negative — so coaching happened the same day, not the next month.

  • AI-forecasted daily throughput targets per warehouse, per shift
  • Per-worker plans delivered through the Warehouse App with progress tracking
  • Real-time supervisor dashboards showing who is on track, who needs help
  • Anomaly detection: AI flags both underperformance and exceptional performance
Results

What changed.

+30%
Productivity (median)
+60%
Productivity (top quartile)
−45%
Supervisor firefighting time
4mo
To full transformation
The Impact

Productivity rose 30% on average and 60% in top-quartile warehouses. Supervisors moved from reactive firefighting to proactive coaching. The same headcount processes substantially more volume — and turnover dropped because workers finally had clarity on what was expected and how they were performing.

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