The problem
Base price gets set on last year’s file, then defended after the fact
82%
of merchants spend 10+ hours a week on manual pricing and promotion work
90%+
demand-forecast accuracy — the difference between modeling a move and guessing at it
Teams still rebuild price files by hand and find out what a move cost only after it ships. A price set without a forecast is a guess — and every guess is margin the team can neither see nor defend. Model the move first, or pay for it later.
Category teams keep getting smaller while the lever count grows. One shared workspace across pricing, promotions, and markdown — built against a single demand model — is designed to collapse the manual scenario work into a single goal-based planning conversation.
The promise
Model the move before you make it
Every base price runs on the same demand model that powers promotions and markdowns — so the price you set today is the price the rest of the plan is built on, not a number the other levers fight against. Model a margin-hold against a units-drive scenario, see both on the outcomes leadership asks about, and keep every one inside your rules.
See how it worksOne demand forecast
90%+ accuracy · 25+ years of science
What’s in the module
Model it, compare it, keep it inside the rules
Three capabilities, one workspace, one forecast — from the first scenario to the rule that holds it at shelf.
AI Multi-Strategy Price Scenarios
Model a margin-hold strategy against a units-drive strategy against your own blend — on the same demand model — before a single shelf tag changes.
Smart Scenario Comparison
Compare scenarios side by side on the outcomes leadership actually asks about: margin, revenue, units, and price image.
Dynamic Rules & Constraints
Every recommendation lands inside your strategy — line pricing, ending-number rules, competitive gaps, and zone logic enforced automatically across 40+ rule types.
Price AI Co-pilot
AI that reads the scenario, not just the data
Built on 25+ years of demand science and 90%+ forecast accuracy, the Price AI Co-pilot summarizes what a scenario means in plain language and drafts the rules to get there — so merchants spend their time deciding, not building.
The Co-pilot augments the judgment of your merchants. It does not replace it. Humans own strategy, pricing philosophy, and final approval.
Scenario AI Summary
Scenario B lifts units 2.1% at a 0.4pt margin cost. 90%+ of the volume gain comes from three price families; two breach the margin floor rule.
- Holds 38 of 40 active rules
- 2 constraints flagged for review
- Price image held vs. market
AI Rules Assist
Drafts rule and constraint changes for a merchant to review and approve.
Early access. Rolling out inside Revenue Optimization.
Same team. Better margin.
Protected margin, faster decisions, fewer manual predictions
90%+
demand-forecast accuracy behind every base-price decision
40+
rule types, so more predictions are science-based instead of manual
Protected margin
Every price move is modeled against your rules first, so margin stops leaking into decisions nobody reviewed.
Faster decisions
Scenarios modeled in minutes, not days — the answer is ready in the meeting, not a week later.
Fewer manual predictions
Science-based forecasts replace spreadsheet guesswork on every price family, at 90%+ accuracy.
Strategy that holds
The rules that express your pricing philosophy are enforced on every recommendation, not just the flagship SKUs.
Part of Revenue Optimization
Base price is one of three levers on the same model
Pricing ships as part of Revenue Optimization, never as a point solution — so promotions and markdowns never fight the price you set.
Go deeper
Go deeper on retail price optimization
Questions buyers ask
Frequently asked questions
What is retail price optimization software?
Retail price optimization software uses demand models to recommend the everyday price for each item, in each store or zone, that best meets a goal such as margin, units, or price image. It predicts how shoppers respond to a price instead of applying a cost markup, and it keeps every recommendation inside the retailer's own rules.
How is DemandTec Pricing priced?
DemandTec is enterprise SaaS sold on an annual subscription with a custom quote — there is no public per-seat list price. Pricing depends on which suites and modules you run and the scale of the operation (banners, SKUs, and connected supplier network). Implementation and customer success are included. Book a demo and a specialist scopes it to your operation.
How accurate is the demand forecast behind each price?
DemandTec forecasts at 90%+ accuracy on 25+ years of demand science. Every base-price recommendation shows its predicted effect on margin, units, and price image before a shelf tag changes, so merchants can defend the decision and measure the result against the forecast.
Does the software change prices automatically?
No. Recommendations land inside your Dynamic Rules & Constraint Framework — 40+ rule types covering line pricing, ending numbers, competitive gaps, and zone logic — and merchants review and approve them. The Price AI Co-pilot summarizes scenarios and drafts rules; humans own pricing strategy and final approval.
How does base price connect to promotions and markdowns?
Pricing is one of three levers in the Revenue Optimization suite, and all three run on the same demand model. Promotions are planned and measured against the base price you set here, and markdowns clear inventory on the same forecast — so the levers never fight each other.
Model your next price move before you make it
A 30-minute walk of scenarios, rules, and the Co-pilot against your own pricing workflow.