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As of 13 August 2026, AI can calculate the price increase you need.
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 ityou
What the alternative costsThe supplied tools data does not provide a price for a non-AI pricing alternative.
If this goes wrong: the increase may reduce demand, lose customers or leave your margin below target.
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 price list and a spreadsheet containing recent sales, costs, volumes and customer or product segments.
- Separate prices including VAT from prices excluding VAT, then gather the same basis for unit costs, revenue and margin figures.
- Paste the figures and your target outcome into the prompt, adding the period covered by every volume, cost and revenue number.
- Paste the completed prompt into ChatGPT, Claude or Gemini and ask it to calculate the current position, target prices and volume scenarios.
- Copy the returned formulas and results into Rows or your existing spreadsheet, then compare each calculation with a manual check using the supplied inputs.
- Test the proposed prices against known customer contracts, published prices, competitor evidence and any internal approval limits before sending or publishing a price change.
Prompt
Calculate the price increase needed for this business using only the information below. Do not invent missing figures. If the data is insufficient, list exactly what is missing and show which parts can still be calculated. Business context: [what we sell, to whom, and in which UK market] Current price or prices: [include whether each figure is including or excluding VAT] Unit cost or delivery cost: [give the cost basis and currency] Current sales volume: [units, subscriptions or customers over a stated period] Current fixed costs: [amount and period, if relevant] Current revenue or gross margin: [figures and period, if known] Target outcome: [for example, cover a cost increase, maintain a target margin, or reach a stated revenue or profit figure] Expected volume change after the increase: [a justified assumption, a range, or unknown] Customer or product segments: [list different prices, costs and volumes if applicable] Proposed increase or constraints: [if any] Return: 1. A table showing the current position and each required price under the stated target. 2. The percentage and cash increase for every price, calculated from the figures supplied. 3. Separate results for at least three clearly labelled volume scenarios if volume change is known or can be stated as a range. If it is unknown, explain why a single required increase cannot be calculated and show a break-even or sensitivity method instead. 4. Every formula in plain English, with the figures substituted into the formula. 5. A list of assumptions, missing data and checks I must complete before changing prices. 6. Keep VAT treatment explicit and do not give legal, tax or accounting advice. State clearly that this is a planning calculation, not professional advice.
Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.
What it gets wrong
- AI cannot know how many customers will leave or reduce their order after a price increase without reliable evidence from your market.
- AI cannot choose the acceptable trade-off between margin, volume, positioning and customer relationships.
- AI cannot detect a cost, discount, contract term or VAT treatment that you have failed to provide.
- AI cannot take responsibility for the commercial result or approve the change within your organisation.
- AI cannot turn a calculation into a tested pricing decision without your market evidence and judgement.
Even on a YES, the friction has a name: 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 | 2 |
| Verification | 1 |
| Liability | 2 |
| Effort delta | 2 |
| Total | 9 / 10 |
The methodology and its thresholds are published in full.
FAQ
- Can ChatGPT work out how much I should raise my prices?
- Yes, it can calculate the increase needed to meet a stated margin, revenue or cost-recovery target. It cannot know the right target or predict customer demand unless you provide credible assumptions or evidence.
- What information does AI need to calculate a price increase?
- Give it current prices, whether they include VAT, unit and fixed costs, sales volumes, customer segments and the financial outcome you want. Include expected volume changes if you have evidence for them, otherwise ask for several scenarios rather than one definite answer.
- Can AI tell me whether customers will accept a price increase?
- No, not reliably from the calculation alone. It can organise competitor information and model different volume assumptions, but customer acceptance needs market evidence such as tests, customer conversations or observed sales behaviour.
- Can I use AI to calculate a price increase for my business?
- Yes, for a planning model that you check against your own figures and price list. Keep VAT, contracts, discounts and customer segments explicit, and do not treat the output as professional advice.
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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