Agent Marketplace · Market to Cash
Pricing Optimizer Agent
Recommends price points using margin, demand, and competitor signals.
How to use this agent
Stage 1 of 5
See what it needsRead the input data the agent asks for and where each figure usually comes from.
Stage 2 of 5
Run the demoPress the demo button to see a full run on a fictional company. Nothing is saved.
Stage 3 of 5
Get the templateThe tool opens once it is approved; the template downloads from there.
Stage 4 of 5
Add your dataFill the template and upload it, or type straight into the tool. Your work saves as you go.
Stage 5 of 5
Read and share the resultRead the headline results, then print or save the PDF report.
SIPOC: how the agent works
Who supplies what, what goes in, what the agent does, what comes out, and who uses it.
| Suppliers | Inputs | Process | Outputs | Customers |
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Input data it needs
Everything the agent asks for, in the order it asks. Columns marked "worked out" are calculated for you; you only fill the rest.
| Data | Unit | What to enter |
|---|---|---|
| Which product or service is being priced? | Name one product, pack size and channel. Mixing products in one analysis makes the elasticity meaningless. | |
| What should the price achieve? | State the objective (profit, share, volume for a plant) and any rule such as a floor margin. The calculation maximises profit; use this to judge whether profit is the right goal. | |
| Variable cost per unit | ₹ per unit | Include only costs that rise with each unit sold: materials, direct labour, freight, commission and payment fees. Leave out rent and salaries; they go in fixed cost. |
| Fixed cost for the period | ₹ per period | Costs that do not change with volume in the period of the price tests, such as rent, salaried staff and marketing retainers. Use the same period length as the volumes below. |
| Main competitor price (optional) | ₹ per unit | The price of the alternative buyers most often compare you with, in the same pack size. Leave blank if there is no direct competitor. |
| Economic value to the customer (optional) | ₹ per unit | What the product is worth to a typical buyer: the price of their next-best alternative plus the value of what you do better, such as lower waste or fewer stoppages. It is the ceiling. |
| Price in test 1 | ₹ per unit | The price charged in the first period or market. Use the net price after discounts, as buyers actually paid. |
| Volume sold in test 1 | units per period | Units sold at that price over one period. Check that nothing else changed that period, such as a promotion, a stock-out or a competitor move. |
| Price in test 2 (your latest price) | ₹ per unit | The second price, which should be your current price. It must differ from test 1; the bigger the gap the more reliable the elasticity, up to about 15 percent. |
| Volume sold in test 2 | units per period | Units sold at the second price over a period of the same length as test 1. |
| Prices to comparetable | One row per price you would consider. Include prices on both sides of the likely best one. Volume and profit are worked out for each. Columns: Price (₹ per unit); Evidence (worked out); Volume (linear curve) (worked out); Profit (linear curve) (worked out); Volume (constant elasticity) (worked out); Profit (constant elasticity) (worked out). | |
| What price did you choose, and why? | Write the chosen price, the model that supported it, and the guardrail that would make you reverse it, so the decision can be reviewed against results later. | |
| Actions for the next 90 daystable | List the first actions in order. Give each an owner by role, a measure that shows it worked, and when it starts. Columns: Action; Owner (role); Measure of success; When. |
Try the demo
See a complete run on a fictional company before you enter anything of your own. No account, no AI, nothing saved.
Demo · sample, not real
A fictional industrial adhesive maker sold 5,000 packs a month at ₹100 and 4,400 packs a month at ₹110, with ₹60 variable cost per pack and ₹2,00,000 fixed cost a month. It wants to know the best price.
Provide and update your data
- Open the pilot and choose Download blank Excel template, or Download sample to see a filled example.
- Fill the template with your own data and use Upload to load it; or type straight into the page. Both give the same result.
- Your work saves automatically while you type, so you can come back and change any figure; results update at once.
- To refresh: Rerun after every price test, using the two most recent price and volume points.
The pilot is being reviewed and opens to clients once it is approved.
What you get back
Headline results
- Profit-maximising price (linear curve)
- Profit-maximising price (constant elasticity)
- Constant-elasticity price
- Best candidate (linear curve)
- Best candidate (constant elasticity)
Working figures shown beside them
- Price elasticity (arc)
- How demand responds
- Volume lost per ₹1 price rise
- Contribution per unit at your latest price
- Contribution margin at your latest price
- Break-even volume at your latest price
- Margin of safety at your latest price
- Room below the customer-value ceiling
In what form
- Results at a glance on the page, updating as you type. Available
- PDF report in the standard Eccellere layout, from Print / PDF on the tool page. Available
- Dashboard over time that keeps each run and charts the change between runs. Planned
The agent never lets AI invent a number: every result comes from the formulas below, and any AI writing is labelled and editable.
Method and limits
Based on
Price elasticity of demand and the inverse-elasticity markup rule (Abba Lerner, 1934); economic value to the customer after Thomas Nagle and Georg Müller, The Strategy and Tactics of Pricing (1934 to 2018).
Demand falls as price rises, and elasticity measures how fast. Two observed points fix a demand curve; the best price is where one extra rupee of price gains as much margin as it loses in volume.
Use it when
Use it when you have sold the same product at two different prices (or can run a short test), you know the unit variable cost and the fixed cost per period, and you must set or revise a list price.
Do not use it when
Do not use it for a brand-new product with no sales history, for products whose demand depends on contracts or tenders, or when the two tests differ in season, channel or promotion, because the difference in volume would then not be caused by price.