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As of 13 August 2026, AI can only partly value your current stock.
This still needs a person who signs their name to it.
Can you do it?
5 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 human-service price is supplied in the available tool data.
If this goes wrong: you use an overstated or understated stock figure for purchasing, management reporting or accounts and have to correct the records and decisions that followed.
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
- Export the current stock list from your stock system with SKU, description, quantity, location, condition and last movement date, then save the export unchanged.
- Gather the purchase invoices or cost file that supports each unit cost, including any agreed treatment of discounts, delivery, VAT and currency.
- Separate damaged, expired, obsolete and unidentified items in a notes file, and record the stocktake date if the quantities came from a physical count.
- Paste the stock export, cost data, notes and any agreed valuation rule into the prompt, then ask the model to calculate the result without filling gaps.
- Copy the model's line-value table into a spreadsheet and recalculate quantity multiplied by unit cost, checking the subtotals and total against the displayed calculations.
- Compare unusual lines and every flagged missing or adjusted item against the original stock system and purchase invoices, then have a colleague confirm the valuation basis and exceptions.
- Use the confirmed figure only for the purpose it was checked for, and send it to your accountant before using it in statutory accounts or tax work.
Prompt
Value the stock in the data below as at [valuation date]. Use only the figures I provide and do not invent quantities, costs, dates or accounting rules. First identify the valuation basis that can be supported by the data, such as unit cost, weighted average cost or another stated basis. If the basis is unclear, show the possible interpretations instead of choosing silently. Separate sellable, damaged, obsolete, expired and unidentified items where the data supports this. Flag missing unit costs, duplicate lines, negative quantities, unusual costs, currency differences and items with no recent movement. Show a table with SKU, description, quantity, unit cost used, adjustments, line value and reason for any adjustment. Then give subtotals and a total, with the calculation written plainly enough to reproduce in a spreadsheet. Do not treat a sales price as a stock cost. Do not decide whether a write-down, landed cost, VAT treatment or accounting policy applies unless I have supplied the rule. List every assumption and every row that needs human confirmation. End with a reconciliation checklist comparing the result with the stock system, purchase invoices and any stocktake count. Stock data: [Paste the stock export here] Cost and purchasing data: [Paste unit costs, invoices or cost rules here] Condition, movement and location notes: [Paste relevant notes here] Business or accounting rule to apply, if already agreed: [Paste the rule here]
Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.
What it gets wrong
- AI cannot know whether your stock records reflect what is physically on hand unless you provide a reliable stocktake or count.
- It cannot decide the correct treatment of obsolete, damaged or slow-moving stock without your business policy and evidence about recoverable value.
- It cannot reconstruct missing landed costs, purchase history or supplier corrections from an incomplete export.
- It cannot take responsibility for a figure used in statutory accounts, tax work or a major purchasing decision.
- It cannot resolve conflicting records by visiting the warehouse or asking the supplier what actually happened.
What caps this at PARTLY: judgement under ambiguity, 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 | 2 |
| Total | 7 / 10 |
The methodology and its thresholds are published in full.
FAQ
- Can ChatGPT calculate the value of my stock?
- Yes, it can calculate a stock value from a clean inventory list and supplied unit costs. It cannot supply missing costs, confirm the physical quantity or choose silently between accounting treatments, so a colleague should check the result.
- What information does AI need to value stock?
- Give it SKU or product details, quantities, locations, condition, unit costs and the valuation date. Include purchase records and any agreed rules for discounts, delivery, VAT, currency and write-downs, or ask it to flag those items as missing.
- Can AI value damaged or obsolete stock?
- It can separate and calculate those categories when you provide the condition and the rule for valuing them. It cannot decide the appropriate write-down from a description alone, so confirm the treatment with your accountant when the figure affects accounts or tax.
- Can I use an AI stock valuation for my accounts?
- You can use AI to prepare calculations and a reconciliation, but the output is not professional advice. Have your accountant check the valuation basis and adjustments before using it in statutory accounts or tax work.
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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