Put the stock that sells most where pickers reach it first.
AI Slotting reads your order history across every client, finds the SKUs picked most often, and suggests moving them to pick faces close to the pack stations. Each suggestion shows the walking it saves. Nothing moves until a supervisor approves it.
- 2.1 kmEstimated walking saved per picker per shift in the KNR-1 example plan
- ApproveEvery move needs a supervisor before any stock is touched
- WeeklyPlans refresh with new order data and seasonal shifts
| SKU | Move | Picks / day | Walk saved | Supervisor |
|---|---|---|---|---|
| CF-COCO-1L | C-06-02 A-01-01 | 148 | 310 m | Approved |
| NC-SERUM-30 | C-04-05 A-01-02 | 121 | 260 m | Approved |
| KS-PEP-100 | C-07-01 A-01-03 | 117 | 240 m | Approved |
| CF-BAN-200 | C-03-04 A-01-04 | 96 | 190 m | Approved |
| NC-LIP-04 | C-05-03 A-01-05 | 88 | 170 m | Approved |
Stock moves only after a supervisor approves. Each approved move becomes a putaway task on the handheld.
AI Slotting, step by step.
- D1
Read the history
AI looks at 90 days of picks by SKU, by client and by hour, and at which SKUs are usually ordered together.
- D2
Score the bins
Each bin gets a travel cost from the pack stations, plus its size, weight limit, height and temperature.
- D3
Suggest moves
The plan lists SKU, current bin, suggested bin, picks per day and estimated walking saved.
- D4
Supervisor approves
Approve, reject or edit each move. Rejections teach the model your local rules.
- D5
Move in quiet hours
Approved moves become scanned transfer tasks, scheduled between waves so picking is not disturbed.
Built for the way 3PL floors actually work.
Velocity slotting
Fast movers go to waist-height pick faces near packing. Slow movers move to reserve and upper levels.
Affinity grouping
SKUs often ordered together are placed close together, which shortens multi-line orders.
Walking estimate
Every plan shows the estimated distance saved per shift, measured on your own floor layout.
Physical limits
Suggestions respect bin dimensions, weight limits, temperature class and client separation rules.
Seasonal shifts
Festive season, sale days and launch weeks change what sells. Plans adapt as the order mix changes.
Before and after
After moves are done, compare actual pick times and route length with the weeks before.
- Slotting never moves stock between clients and never breaks a client's dedicated aisle rule.
- Moves are batched into small sets so the floor is never half re-slotted at shift start.
- Plans can be paused during stock takes and audits.
Clear rules for what the system does with your data.
Suggestions, not orders
AI Slotting proposes moves. A supervisor approves each one before any stock is moved.
Pick rates plan work, not people
Pick-rate figures are used to plan waves and staffing. They are not used to rank or penalise individual pickers.
Client data stays separate
Order history from one client is never shown to another. The model uses it only to slot your warehouse.
Your data, encrypted
Warehouse data belongs to the 3PL and its clients. It is encrypted in transit and at rest, and it is never sold.
Asked at the ai slotting.
Q01How much order history does AI Slotting need?
It gives useful plans from about four weeks of orders. Ninety days or more gives better results for seasonal goods.
Q02Can we override a suggestion?
Yes. Reject it, pick a different bin, or lock a SKU to a bin so it is never suggested for a move.
Q03Is the walking saving guaranteed?
No. It is an estimate based on your layout and recent orders. The before and after report shows what actually changed.
The last truck just left the bay. Yours is next.
Bring one client onto the floor for 30 days. Import their SKUs, receive their next ASN, ship their orders and send them a real invoice. Your other clients keep running as they do today.
- Clients
- 1
- Duration
- 30 days
- Modules
- All 7 zones
- Data import
- CSV or sales channel
- 14:30Truck · Coastline Foods · 6 palletsGONE
- 16:00Courier · 86 orders · Bay 2LOADED
- NEXTYour first clientREADY TO DOCK