How mature is your Data & AI organization?Take the diagnostic
All use cases

AI USE CASE

Warehouse picking & routing optimisation

Optimise pick paths and slotting to cut warehouse labour cost.

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
Industries
Logistics, Retail & E-commerce, Manufacturing
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

This use case is part of a larger Data & AI catalog built from 50+ enterprise transformation programs. Take the free diagnostic to see how it ranks against your specific context.