AI Price Optimization Software for CPG & Retail
TrueGradient sets the base price that maximizes margin, modelled on real price elasticity and tested against the demand it creates and the inventory and P&L that have to absorb it.
Most pricing tools optimize a number in a spreadsheet or a silo: elasticity in, price out, and someone else deals with the consequences. But the “optimal” price is worthless if it triggers demand the supply chain cannot serve or a margin the P&L cannot afford. TrueGradient prices on the same model that forecasts demand and plans inventory, so the price you set is the price you can actually execute.
Get the base price right: everything else prices off it
The base price is the most consequential number in the pricing lifecycle, and the least actively managed. Promotions discount from it, markdowns clear against it, and margin compounds off it on every unit sold at full price, yet most brands set it once, by cost-plus or gut, and revisit it only when a competitor forces the issue. TrueGradient optimizes the base price continuously against measured elasticity, cost, competitive position, and margin target, at the SKU and price-zone level. Get this number right and every downstream promotion and markdown starts from a stronger position.
Price elasticity you can see and defend, not a black box
A pricing recommendation a category manager cannot explain to a commercial director does not get implemented; it gets overruled. TrueGradient models price elasticity per SKU, including cross-price effects between substitutes and complements, and shows the elasticity curve and the drivers behind every recommended price. The category team sees why a 3% increase on one SKU holds volume while the same increase on another collapses it.
Price on your demand, inventory, and margin reality
A price change is a demand change. Drop a price and demand rises, but if the inventory is not there, the “win” is a stockout; if the margin math ignores the cost to serve, the “win” is a loss booked at volume. Standalone pricing tools cannot see this because pricing lives in one system and planning in another. TrueGradient prices on the same model that runs AI demand forecasting and inventory optimization, so every price recommendation is tested against the demand it will create and the stock and margin that have to absorb it.
The full price lifecycle: base, promotion, markdown on one model
Pricing is not one decision; it is three, in sequence. The base price sets the foundation. Promotion optimization flexes it temporarily to drive volume without giving away more margin than the lift is worth. Markdown optimization clears end-of-life inventory at the highest recoverable price. Most brands run these on three disconnected tools that each ignore the others; so a promotion undermines the base price, and a markdown undoes the promotion. TrueGradient runs all three on one model, and connects them to trade promotion optimization for brands that also fund retailer trade spend. One elasticity model, one margin view, one coherent price the shopper sees across the whole lifecycle. The trade-off logic between discounting and other levers is worked through in discount vs marketing spend to maximise revenue and margin.
Competitive inputs without a race to the bottom
Competitor prices matter, but matching them blindly is how a category races itself to zero margin. TrueGradient treats competitive price position as one input to the elasticity model, not the rule, so the platform recommends where to hold price because the demand will bear it, and where to move because the shopper genuinely will not. Price perception is protected on the KVIs that shape it, and margin is recovered on the long tail where the shopper is not watching.
Built for the operating reality of pricing and category teams
Real pricing is governed, not automated away: prices need approval workflows, guardrails, rounding rules, and the ability for a category manager to override with a reason on record. TrueGradient is built around that reality: explainable recommendations a team can defend, guardrails and price-ladder rules enforced automatically, and no-code, self-serve configuration so pricing teams set zones, rules, and margin floors without an IT project. Where the incumbents need a multi-month implementation, this is live in weeks: the mid-market accessibility the category has historically denied the $100M–$2B brand.
The business impact of AI price optimization
Margin protected by optimizing contribution margin rather than matching competitors on price.
Fewer price-driven stockouts because price changes are planned into demand and inventory, not discovered by them.
Weeks, not quarters, to live prices vs the multi-month enterprise pricing implementations the incumbents require.
Connect pricing to the rest of your revenue growth stack
Promotion, markdown, and trade promotion are the three levers the base price sets the foundation for. Together they are the revenue growth management stack, run on one elasticity model so everyday price, temporary discount, clearance, and trade spend stay coherent.
See your margin-optimal
prices
Send us your sales history, costs, and current price list, and we will show you the margin-optimal base price per SKU and price zone, with the elasticity curve and the demand impact behind each one.
For Shopify Brands
Optimize inventory, prevent stockouts, and boost profits.
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TrueGradient is a no-code self-serve AI product for supply chain optimization founded in 2023.
