Smart Slotting
AI-driven slot assignment that puts velocity where it belongs.
Smart Slotting decides where every SKU should live. It scores thousands of candidate locations against pick velocity, travel distance, days-of-cover targets and your operating rules — then produces an assignment plan with the before/after numbers to prove it.
+20–25%
pick productivity gain
−20%
pick labour requirement
−15%
travel distance to staging
2 wks
planning time saved per quarter
Slotting is the highest-leverage decision in a warehouse: travel typically consumes around half of a picker’s time, and travel is a direct function of where product sits. Smart Slotting attacks it with an optimisation engine built from real operations — not a generic solver with a warehouse skin.
The engine is fully configurable without code. Scoring blends pick and case velocity with distance to staging and bulk; hard rules enforce capacity, category eligibility, restricted areas and priority zones; soft rules manage congestion by penalising pick-density clustering. Multi-pass execution handles strict assignment, under-fill, mixed residual and partitioned slots — the way a senior slotting engineer would actually sequence the work.
Every run ends with evidence: before/after travel distances, per-category summaries, movement lists and heatmaps. Accept the run and its KPIs become your new baseline; reject it and nothing moves.
How it works
Smart Slotting, in three moves.
01
Ingest
SKU velocity and location data load against the published layout. Data quality is surfaced, not silently ignored.
02
Optimise
The multi-pass engine scores candidate locations live — every assignment sees the state left by the one before it.
03
Review & accept
KPIs, heatmaps and movement lists land in one review screen. Accept to baseline the gains; nothing executes without sign-off.
Capabilities
- Velocity-based scoring: picks, cases, shipments, forecast and days-of-cover fit
- Hard rules: capacity, category eligibility, shelf-life, restricted areas, priority zones
- Congestion-aware soft rules that keep fast movers from crowding one aisle
- Multi-pass optimisation: strict, under-fill, mixed residual and partitioned assignment
- Days-of-cover targets per category and ABC class — tunable by operators, no code
- Scenario compare: run alternatives side by side before committing