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As of 13 August 2026, AI can only partly track expiry dates for your products.
This still needs a person who signs their name to it.
Can you do it?
15 minutesto a draft.
30 minutesto something you’d act on.
Cost, all in£0
Skill neededchat-fluent
Who has to check ita colleague
What the alternative costsNo comparable stock-tracking alternative or price is provided in the supplied tool data.
If this goes wrong: an item remains in stock after its relevant expiry date and your team sells, uses or disposes of it incorrectly.
What to actually do
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.
Use a tool built for this
Second choiceDo it yourself
The distant thirdA chat interface, chat-fluent skill, and roughly 30 minutes until you can act on the result.
How to actually do it
- Open your current stock system, spreadsheet or paper stock records and gather the product name, SKU, batch or lot number, quantity, storage location, expiry date and expiry type for each item.
- Photograph or transcribe the relevant product labels and delivery records, then resolve obvious differences while keeping any uncertain date or batch number marked as unknown.
- Paste the records into the prompt and ask the chatbot to produce the CSV-ready tracker, status rules, missing-field list and reminder procedure.
- Paste the returned table into your stock spreadsheet or task system and compare every expiry date, batch number and quantity against the original labels and delivery records.
- Ask a colleague to sample the tracker against physical stock, including items in different storage locations, and record any missing or duplicated products.
- Set calendar or task reminders for the agreed checking schedule, assign an owner for each alert and test one reminder before relying on the workflow.
- At each stock check, update quantities and remove sold, used or disposed-of items, then compare the next actions against the physical stock before products are released.
Prompt
Create a practical product-expiry tracker for a UK business using the product records below. Use 2026-08-13 as today's date. Return a CSV-ready table with these columns: product name, SKU, batch or lot number, quantity, storage location, expiry date, expiry type, days until expiry, status, owner and next action. Treat dates as day-month-year unless the source clearly uses another format, and flag any ambiguous date instead of guessing. Use the expiry type supplied in the records, such as use-by, best-before or manufacturer expiry. Mark each row as expired, urgent, due soon or not yet due, but state the rule you used for each status. List missing fields and duplicate records separately. Do not invent dates, quantities, batch numbers or product details. Then give me a simple weekly checking procedure, a reminder schedule, and a short list of questions I must answer before this tracker is used operationally. Product records: [paste product list, stock export, delivery records or label transcriptions here]
Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.
What it gets wrong
- AI cannot see products on your shelves or know whether a label has been transcribed accurately.
- AI cannot guarantee that a connected spreadsheet, task list or reminder will contain every item or send every alert.
- AI cannot decide how your business should handle an ambiguous, damaged or recalled product without your operating rules and a responsible person.
- AI does not take responsibility if a missed date leads to a sale, use or disposal error.
What caps this at PARTLY: real time truth, verification cost and stakes of error.
How we scored this
Five axes, each scored nought to two by hand: ten means AI carries the task cleanly, and the thresholds that turn a total into YES, PARTLY or NO are published in the methodology. Each axis name links to its definition.
| Axis | Score (0–2) |
|---|---|
| Output | 2 |
| Inputs | 1 |
| Verification | 1 |
| Liability | 1 |
| Effort delta | 1 |
| Total | 6 / 10 |
The methodology and its thresholds are published in full.
FAQ
- Can ChatGPT keep track of product expiry dates?
- Partly. It can organise dates, calculate which items need attention and draft a reminder process, but it cannot independently inspect your stock or guarantee that alerts will be sent.
- What information does AI need to track expiry dates?
- Give it the product name, SKU, batch or lot number, quantity, location, expiry date and expiry type. Include the source of each date where possible, and mark anything unclear instead of allowing it to guess.
- Can AI remind me before products expire?
- It can draft a reminder schedule and populate a task or calendar system when the relevant integration supports it. You still need to test the alerts and assign someone to update the tracker and act on them.
- Is AI reliable for stock expiry dates?
- It is reliable for sorting and presenting accurate records, not for establishing whether the records are complete or correct. Compare the tracker with labels and physical stock, and keep a named person responsible for the final decision.
Nearby answers
Assessed by gpt-5.6-luna (gpt-5.6-luna) on 2026-08-13, second-checked by an independent model. Wrong somewhere? Email [email protected] and it gets re-checked.
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