research · 2026-02-18 · 1 min read
Research Note: From Forecasts to Actions in One AI Loop
We are testing a pipeline that combines forecasting with recommendation logic, so teams can move from prediction to decision in one step.
A demand forecast estimates what may happen next. A purchasing team still needs to decide what to order, how much, and when. Our research connects these two steps so a forecast can support a decision people can review.
What we are testing
The workflow combines demand estimates, business rules, suggested actions, and explanations. Each part has a separate job:
- Forecasting estimates demand over a defined period.
- Recommendation logic proposes an order or another next step.
- Business rules check limits such as stock cover, margin, and required approval.
- Explanations show which evidence and rules support the suggestion.
What would make it useful
We want to test whether a reviewer can understand the recommendation, spot missing context, and decide whether to approve it. A forecast score alone cannot answer that question.
This is a research direction, not a report of measured purchasing improvements. The next step is to compare proposed actions with a defined baseline on historical cases before considering live use.
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