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Edition · 25 May 2026
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AI USE CASE

Warehouse picking & routing optimisation

Optimise pick paths and slotting to cut warehouse labour cost.

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Typical budget
€60K-€250K
Time to value
16 weeks
Effort
12-24 weeks
Monthly ongoing
€2K-€6K
Minimum data maturity
advanced
Technical prerequisite
data engineer
Function
Operations
AI type
optimization

What it is

An optimisation engine plans pick routes, batches orders and re-slots SKUs based on velocity. Pickers walk 20-35% less per shift and order accuracy improves. Pays back in 6-9 months for warehouses doing 1K+ orders/day.

Data you need

Real-time WMS data, SKU master, warehouse layout.

Required systems

  • erp
  • data warehouse

Why it works

  • Co-design with floor supervisors from week 1
  • Live integration with WMS, no overnight batches

How this goes wrong

  • Optimisation that ignores ergonomics and union rules
  • Models unable to react to stockouts in real time

When NOT to do this

Skip for warehouses under 500 orders/day, manual heuristics suffice.

Vendors to consider

Other use cases in this function

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