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A forecasting model that sits beside the existing system, reads what it already produces, and closes scheduling. Aimed at retail ops teams, going after the low-value tail everyone else skips.
In short: Scheduling for Retail, Run by Forecasting is a forecasting model aimed at retail ops managers, covering scheduling. It scores 71/100 on AltF Ideas, carried by monetisation (91) and held back by timing (31). Typical pricing is $3.0k–$61k per customer per year, with a first version reachable in about a month for $6.0k–$20k.
Retail teams lose a calendar rebuilt by hand every time one job slips. A typical retail operation runs this on people, memory, and a shared spreadsheet. It scales linearly with headcount, so growth makes it worse rather than better.
A narrow forecasting model scoped to scheduling alone — no platform, no migration, no six-month rollout. Revenue is usage-based, which suits a buyer who wants the cost to track the value rather than the seat count.
| Total addressable market | $1.4B |
|---|---|
| Category growth (CAGR) | 12% |
| Annual contract value | $3.0k – $61k |
| Pricing model | Usage-based |
| Time to first revenue | 49 days |
| Startup cost to MVP | $6.0k – $20k |
| Build effort | ~1 month |
Forecasting that used to need a data team now runs on off-the-shelf models. Retail is growing at roughly 12% a year, and this job has not been re-tooled since it was designed around paper.
| Who | The gap |
|---|---|
| An offshore back office | Cheaper per hour, but does not scale down to the tail |
| A spreadsheet | The real incumbent in most of the market, and it is free |
| An internal hire | Works until volume doubles, then breaks again |
The data you need lives on paper in a back office; digitisation is half the product.
An idea you cannot act on is entertainment. Four concrete steps, wired to tools already running on AltFTool.
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