Price optimization software that explains every recommendation.
Most price optimization software hands you a number and asks you to trust it. Retailgrid optimizes for gross margin return on inventory - not elasticity alone - scores every recommendation for confidence, and shows the reasoning behind each price. Built for mid-market retailers who outgrew Excel but don't want a black box.
Traditional RPO optimizes one number - and can't tell you why.
Classic retail price optimization models maximize a single elasticity-based objective and return a recommendation nobody can interrogate. They ignore the cash tied up in inventory, collapse regular pricing, promotions, and markdowns into one mode, and give no signal about how much to trust any given price. So the recommendations sit unused, and the team goes back to the spreadsheet.
Five things typical price optimization models don't do.
Retailgrid is built around the parts of price optimization that determine whether a recommendation actually gets used.
From raw sales data to validated, monitored prices.
A four-step guided flow that starts working on day one and gets more inventory-aware as you configure it - one category at a time.
Load & validate
Bring in product, sales, and competitor data. Retailgrid validates it and produces a data-quality score per SKU, so you know how much to trust each recommendation before you act on it.
Model demand & elasticity
Demand and price sensitivity are modeled at the right level of aggregation, with explicit confidence tiers and graceful fallback from item to cluster to category when data is thin.
Optimize for GMROI
The optimizer recommends a regular price, promotion, or markdown for each SKU - balancing margin against inventory return, inside the margin floors, competitor corridors, and KVI locks you set.
Monitor & learn
Realized outcomes are tracked against forecast. You see the impact each price delivered, and the model flags drift and retrains when the market moves.
Walk through price optimization yourself.
Click through the optimizer on a real retail catalog - GMROI-based recommendations, confidence scores, and the reasoning behind every price. No signup.
Go deeper on choosing and running price optimization software.
Practical guides for the evaluation, the business case, and the first ninety days - written for mid-market pricing and category teams.
Buyer's guide
The full evaluation path for retail price optimization software - requirements, scoring criteria, and the questions that separate vendors.
What to look for
The capabilities that actually determine whether recommendations get used - explainability, confidence scoring, and guardrails.
How it works & what it costs
The mechanics behind price optimization and a realistic view of pricing models, implementation effort, and total cost.
Software vs spreadsheets
Where Excel stops scaling for pricing teams, and what changes when the grid gets a model behind it.
What is GMROI?
Gross margin return on inventory investment explained - and why optimizing for it beats optimizing elasticity alone.
Best software for growing brands
How the retail pricing software landscape looks in 2026 for brands scaling past their first pricing tool.