Improve warehouse slotting to cut picker travel time
A slotting plan that places SKUs by velocity, size, and affinity, with a phased re-slot schedule that doesn't disrupt shipping.
The prompt
Help me re-slot my warehouse to reduce picking travel and improve productivity.
Warehouse layout: [ZONES, AISLES, RACK OR SHELF TYPES, PICK FACES, DOCK LOCATIONS - a sketch description is fine]
Picking method: [discrete, batch, zone, wave, cluster; RF or paper; goods-to-person?]
SKU data: [SKU, PICKS PER WEEK, UNITS PER PICK, CUBE/WEIGHT, CURRENT LOCATION]
Order profile: [LINES PER ORDER, ITEMS OFTEN ORDERED TOGETHER]
Constraints: [HAZMAT, TEMPERATURE, HEAVY ITEMS LOW, SECURITY CAGES, SEASONAL ITEMS]
Current metrics: [PICKS PER HOUR, TRAVEL %, REPLENISHMENT FREQUENCY]
Steps:
1. Rank SKUs by pick frequency (not units shipped) and classify fast, medium, slow movers.
2. Place fast movers in the golden zone (waist to shoulder height) closest to pack-out, heavy items low, and size pick faces so replenishment isn't constant.
3. Group items frequently ordered together.
4. Flag SKUs that are badly slotted today and the gain from moving them.
5. Plan the re-slot in phases during low-volume windows, with system location updates and labeling.
Use only data I provide; mark estimates [ESTIMATE]. Don't promise productivity gains without data; give a range and what it depends on.
Return:
1. A slotting rules summary for my site.
2. A move list: SKU | Current location | New zone/location | Reason | Priority.
3. A phased re-slot schedule with labor hours.
4. Metrics to track before and after, and how often to re-run slotting.
Highlighted [brackets] are blanks to replace with your own details.
Fill in the blanks and use this promptMore Projects & Operations prompts
What to fill in
- LINES PER ORDER, ITEMS OFTEN ORDERED TOGETHER
- PICKS PER HOUR, TRAVEL %, REPLENISHMENT FREQUENCY
- ESTIMATE
How this prompt is built
This prompt follows the RTF structure (Role, Task, Format). RTF tells the model who to be, what to do and what shape the answer should take. It is the quickest structure that still gives noticeably better results than a bare request.
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