As of 13 August 2026, AI can only partly create warehouse picking lists.

What to actually do

1. Hand it to a person

   The route this page recommends

   A person who owns the outcome does this end to end, worth it when the failure is dear.

2. Use a tool built for this

   Second choice

3. Do it yourself

   The distant third

   A chat interface, power-user skill, and roughly 1 hour until you can act on the result.

   How to actually do it

   1. Open your current order system and export the unfulfilled orders, including order number, SKU, description, quantity, customer reference and any batch or expiry requirement.
   2. Open your stock or warehouse management system and export the current available quantity for each SKU, keeping the SKU format unchanged.
   3. Export the bin or location list and any current warehouse rules for zones, batches, expiry dates, priority orders and partial picks.
   4. Paste the three exports and the warehouse rules into the prompt, then ask the model to produce the pickable lines and separate exceptions.
   5. Paste the drafted table into a spreadsheet and compare every SKU, quantity, order number and location against the latest warehouse-system exports.
   6. Ask a warehouse colleague to check the exceptions, live stock and any batch or expiry decisions, then correct the spreadsheet rather than accepting an unverified suggestion.
   7. Send the approved picking list to the authorised warehouse process and retain the exception list so unresolved lines are not picked by mistake.

   Prompt

   Create a warehouse picking list from the order data, stock data and bin-location data below. Use only the supplied facts and do not invent SKUs, quantities, locations, stock levels or substitutions. Preserve each order number and customer reference. Group the list by picking route or bin location if the location data supports that, and include SKU, product description, quantity, bin location, order number and any batch or expiry information supplied. Separate the result into: 1) pickable lines, 2) lines with insufficient or missing stock, 3) lines with missing or conflicting location data, and 4) lines needing a human decision. Do not combine different SKUs. Flag duplicate orders and duplicate lines. Show the source order number beside every picked line. Return a plain table that can be pasted into a spreadsheet, followed by a short exception list. Do not mark any line as ready for dispatch. Before finalising, state which fields were missing or ambiguous.
   
   Order data:
   [PASTE CURRENT ORDER EXPORT]
   
   Stock data:
   [PASTE CURRENT STOCK EXPORT]
   
   Bin-location data:
   [PASTE CURRENT BIN-LOCATION EXPORT]
   
   Additional warehouse rules:
   [PASTE RULES FOR BATCHES, EXPIRY, PRIORITY, ZONES OR PARTIAL PICKS]

   Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.