Prepare a warehouse pick list, flagging items that are short

A draft pick list showing item, quantity and location for each line, with a queue for shortages.

Choose one of three approaches. The steps for that option appear below.

Choose an option above. On a phone, swipe the tabs left or right to see all options →

ChatGPT: builds candidates with code, drafts the list

ChatGPT builds allocation candidates with reviewable Python code, then drafts the pick list. You check both stages.

  1. You

    Get inputs ready

  2. ChatGPT

    Build candidates and code

  3. You

    Check candidates and code

  4. ChatGPT

    Draft pick list

  5. You

    Check and approve draft

  1. Get the inputs ready

    Use: You

    Have ready: approved order lines, stock availability and location map. Mark anything not stated as still to confirm.

    Check

    Check nothing outside the supplied inputs is added.

  2. Build the allocation candidates and code

    Use: ChatGPT

    Build order-to-stock allocation candidates. Show and retain the Python allocation code with source-field mappings and assumptions.

    Details

    What to paste into the tool

    Task: Order-to-stock allocation candidates retaining source IDs, relevant dates, explicit uncertainties and reviewer corrections; Python allocation code with source-field mappings and assumptions. Use only the attached input pack. Match each approved order line to stock and location, keep every source ID and date exactly as given, and mark uncertain items as uncertain. Show and retain the Python allocation code with source-field mappings and assumptions for human review and later drafting. Do not invent policy or values.

  3. Check the candidates and code

    Use: You

    Check the candidates and Python code against the original inputs and supplied allocation rules. Correct both and keep the reviewed code for drafting.

    Check

    Check source IDs, dates, code mappings and assumptions against the original inputs and allocation rules.

  4. Draft the pick list and shortage queue

    Use: ChatGPT

    Prepare a draft pick list with item, quantity, location and shortage queue, using the corrected candidates and reviewed Python code.

    Details

    What to paste into the tool

    Task: Draft pick list with item, quantity, location and shortage queue; Unresolved questions with source references. Use only the corrected allocation candidates, reviewed Python allocation code and the supplied inputs. Keep code assumptions visible as unresolved questions where the supplied inputs do not settle them. List item, quantity and location per line and a shortage queue for lines stock does not cover. List unresolved questions with their source references.

  5. Check the draft against the requirements

    Use: You

    Final check of the draft against the requirements; any next action is confirmed separately.

    Check

    Fulfilment lead checks stock freshness and allocation rules; nothing is dispatched. Confirm any next action separately; this workflow ends at a reviewed draft.

Before you paste into any AI tool, remove any confidential information. Put it back at the end.

Tools in this workflow

Deciding between ChatGPT and Claude for this? See the comparison.

Final check

Named human compares every identifier, date, number and uncertain claim with the original inputs before the draft moves on.

Missing facts stay not stated; nothing is sent, published, assigned or authorised.

Check the result against your original inputs. Approve it before sharing or acting.

What still needs checking
  • Which tools the team already has and which plan or workspace settings apply is not known.

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