Is growth paying back?
Contribution margin per box and per household, the waterfall from basket to contribution, cohorts by channel with payback, and the levers (substitutions, promo cadence, free-shipping threshold, channel budget) with promised versus realized effect.
A sample of the app on simulated data. Book a call to click through it live, or to see it on your own exports.
One working session with the people in the seat: which decisions, which systems, what a good week looks like.
The app you see above, running on your own exports instead of the simulated world. Every screen, every decision, your numbers.
Wired to your systems with your permissions, agents proposing, people approving, the ledger recording who did what.
Overview
The question every investor asks, answered at the unit that varies. Every lever adopted is tracked against what it promised.
Decisions it produces
- Adopt a substitution rule or promo cadence
- Shift channel budget
- Change the free-shipping threshold
The world it runs on
A simulated subscription grocer: about 700,000 households, five fulfillment centers, a thousand SKUs, a recommendation engine that fills most of the box. 25,000 sampled households over eight weeks with the causal links written down: demand from recommendations, shortages from lead time, bad boxes from lanes and weather, tickets from bad boxes.
Every company, person and number in this demo is simulated; anchors are public facts or plausible for the segment. Substitute your own feeds and the same apps run on your operation, with your permissions.