Run the catalog, the plan and the proof from one place.

Which SKUs earn and which bleed: what to reorder before it stocks out, what to clear before it goes dead, and what returns really cost - drillable straight to a buy list.

• You can place every SKU on the ABC x XYZ matrix and spot bundle affinities
• You can watch days-of-cover and reorder before the stockout, not after
• You can score refund risk and see what each return reason really costs

Revenue, margin, demand and cash projected ahead - test a scenario before you commit to it, then track the plan against actuals with a variance waterfall.

• You can project operating cash flow and working capital, not just revenue
• You can stress-test COGS, AOV or discount moves in the what-if lab
• You can map each channel's payback and breakeven on the CM1 efficiency frontier

The classic ecommerce financial models - cohort LTV, price elasticity, marketing mix, GMROI - each run on your data, each showing its inputs, its formula and the records behind the answer.

• You can run marketing mix and price elasticity on your own data
• You can value the whole base as customer equity, not just one cohort
• You can track GMROI, open-to-buy and recurring revenue with the same rigor

Proof that marketing caused incremental margin rather than just correlating with it: geo-lift tests, email holdouts and ad holdouts, each returning a verdict and a confidence interval in CM1.

• You can set up a geo-lift test for paid media inside the section itself
• You can hold out email, SMS or an ad set and read the true lift
• You can keep every test's history and trustworthiness diagnostics on record