Margin watches every SKU, every competitor shift, every inventory tremor — and recalculates optimal price points before you could open a spreadsheet.
Mid-market retail teams spend 23+ hours per week on manual repricing across spreadsheets, tabs, and gut-feel adjustments. Meanwhile, competitors with automation update prices 40× faster. The gap compounds every day.
Margin ingests competitor feeds, elasticity models, and inventory signals simultaneously. Every SKU gets an optimal price point recalculated every 15 minutes — automatically applied, no spreadsheet required.
Anonymized data from active Margin deployments across three retail verticals. Numbers are audited actuals, not projections.
Margin weighs competitor data, demand elasticity, and inventory depth simultaneously — recalculating the price point that maximizes margin without losing velocity.
2,341 endpoints · Updated every 8 min
Margin ingests price feeds from 2,300+ competitor endpoints — including MAP violations, promotional windows, and bundle pricing shifts — then weights each signal by that competitor's historical influence on your category's demand curve.
Per-SKU elasticity curves · 90-day rolling
Each SKU gets its own price-demand elasticity model trained on 90 days of transaction history, cross-referenced with category-wide trends. The engine distinguishes between price-sensitive commodities and brand-loyal segments — applying different optimization logic to each.
Real-time stock levels · Velocity-adjusted
Margin connects to your inventory system and adjusts pricing based on stock depth and sell-through velocity. Overstocked SKUs get elasticity-optimized markdowns; undersupplied SKUs with inelastic demand get margin-maximizing raises. No manual intervention needed.
Select your retail vertical and watch a pre-loaded simulation of your category's pricing — with real competitor data and actual margin recovery projections.