AI-powered demand analysis for manufacturing SMBs. Seasonal patterns, safety stock gaps, and stockout risk — quantified by SKU, with actionable numbers you can act on this week.
We go beyond a single forecast number. Each SKU gets a full picture — variability, seasonality, buffer sizing, and what happens if your supplier is late.
Every finding references your actual SKU data. Here's the kind of output you receive:
The more data you provide, the more precise the findings. Minimum required: SKU list, current inventory, and rough monthly demand.
| Data Point | Required? | What It Unlocks |
|---|---|---|
| SKU ID & product name | ✓ Required | All findings |
| Current inventory (units) | ✓ Required | Stockout probability scoring |
| Average monthly demand | ✓ Required | Safety stock & reorder point calculations |
| Lead time (days) | ✓ Required | Lead time buffer analysis |
| Quarterly demand breakdown (Q1–Q4) | Recommended | Seasonal decomposition, Q4 pre-build |
| Unit cost | Recommended | Revenue at risk, carrying cost analysis |
| Reorder point & existing safety stock | Optional | Benchmark vs. calculated optimal levels |
Don't have everything? Bring what you have. The AI will note where estimates substitute for missing data and label confidence accordingly.
Forecasting models can be confidently wrong. We label every output so you know what's backed by your data vs. modeled assumptions.
Disclaimer: This is an AI-generated analysis. Not financial, accounting, or procurement consulting advice. Forecasts are estimates based on provided data and statistical models. Validate findings with your operations team before making significant inventory or capital decisions.
$199. One report. Delivered in 24–48 hours. Your inventory decisions are only as good as your forecasting.
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