Supply chain glossary

Price Optimization

How price optimization sets regular prices against a profit or revenue goal – and why the price rules around the model decide whether its prices reach the shelf.

07. october 2026

3 min

Price optimization is the process of setting prices that best meet a defined goal, typically gross profit, revenue or volume, given how demand responds to price and the rules a price must respect. It combines price elasticity estimated per item with constraints such as competitor price corridors, price ladders and price endings, and outputs a recommended price per item and store or price zone.

In retail the term refers mainly to regular prices. Promotional discounts and clearance markdowns are separate decisions with their own goals: a promotion buys traffic or volume for a limited period, a markdown clears stock before it loses value. The goal also has to be set per item role. Shoppers judge a store's price level by a small set of products they know well, the key value items (KVIs), so retailers hold these at a target position against competitors instead of optimizing them for margin.

Gross profit = (price − unit cost) × units sold
Break‑even volume change = −Δp ÷ (m + Δp), where m is the current margin as a share of price and Δp the price change as a share of price

Price optimization in practice

The margin arithmetic shows why price cuts are harder to justify than they look. On an item with a 25% margin, a 5% price cut leaves a unit margin of 20%, so volume has to rise by 25% just to keep gross profit flat. A 5% increase lifts the unit margin to 30%, and gross profit holds even if volume falls by up to 16.7%. With an elasticity of −2, the increase costs about 10% of volume and profit rises; the cut adds about 10% and profit falls. Optimization runs this calculation for every item with its own elasticity and cost.

Constraints decide whether a recommended price survives in the store. A price ladder keeps a private‑label item below the brand it competes with and a larger pack cheaper per unit than a smaller one; a price corridor keeps KVIs within a set distance from the main competitor; price endings and a maximum change per cycle keep the shelf readable. Prices that break these rules get overridden by category managers one by one, and the result then reflects the overrides rather than the model. Elasticity estimated on promotional weeks distorts the result from the other side: it overstates the response to a regular price change and pushes recommendations toward cuts.

Veritico PRICE covers price management, price optimization and markdown optimization and runs on the pricing engine of Logio's partner Yieldigo. The expected benefit stated for the module is a 2–5% increase in regular profit and 3–7% in regular revenue. See the PRICE module, price management and markdown optimization.