Free tool · Under a minute
Answer four questions and see what AI-native forecasting is worth on your own numbers: incremental revenue, first-year ROI, and hours saved each week. Median deployment returns 20.9× in year one.
Takes less than a minute to get your estimate
Sets the impact rate from TrueGradient customer outcomes.
Three outputs, no black box. Every number above comes from one of these formulas, so you can rebuild the model in a spreadsheet and challenge each assumption.
We apply a vertical-specific impact rate (from TrueGradient customer outcomes) to your annual revenue, then scale it by network complexity (locations × SKUs) so denser assortments and wider footprints get a slightly higher benefit.
revenue × vertical impact × complexity multiplierROI divides that revenue benefit by an estimated annual subscription banded by revenue size. Complexity does not inflate cost in this model, so the multiple stays conservative and comparable across businesses.
incremental revenue ÷ estimated annual TG costPlanner time savings grow with the square root of network complexity (locations × SKUs), then clamp between 2 and 25 hours per week, reflecting automation of forecast rebuilds, exception handling, and replenishment cycles.
2 + 0.065 × √(locations × SKUs)| Metric | Impact |
|---|---|
| Forecast accuracy (SKU-location-week) | 10% |
| Inventory holding | −20% |
| Gross margin | 3% |
| Planning cycle time | 8× faster |
| Promotion efficiency | +30% |
| Time to first forecast | 30-day PoV |
Treat it as a directional business case, not a forecast. It weighs your revenue, industry, location footprint and SKU count against published benchmarks and median TrueGradient results, so it lands in the right order of magnitude. A 30-day proof of value on your own history is what turns the estimate into a defensible number.
At SKU-location-week granularity most consumer-goods teams run between 60% and 72% accuracy (1 − WMAPE). Above 85% is strong. TrueGradient customers typically reach 88-94% depending on category volatility and how much promotional and external signal is available.
Safety stock scales with forecast error, so a 20-point accuracy gain generally supports a 15-25% inventory reduction at the same service level, plus about 22% of the released value saved every year in carrying cost.
Most deployments produce a first forecast on customer data within three weeks and reach payback inside the first two quarters. Inventory benefits lag revenue benefits by roughly one replenishment cycle, since existing stock has to work through the network first.
Pricing scales with revenue, SKU-location count and the modules you use. The calculator assumes a mid-market subscription band so the ROI multiple stays conservative; we confirm exact pricing on a call.
No. Twelve to twenty-four months of shipment or POS history is enough to start, and TrueGradient connects to SAP, Oracle, Snowflake, Shopify and 40+ other systems. Data hygiene issues surface during the proof of value rather than blocking it.
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