A demand prediction system estimates future demand to support decisions about stock and supply. For The Bike Shop, it begins as a project hypothesis: verify whether the opdis2 database and other assets can support such a system, then measure its predictions using recall and precision. Those measures are proposed evaluation criteria, not evidence that a usable model already exists. section 3.5
Turn the hypothesis into delivery checks:
- Confirm authorized access to opdis2 and other required assets, and extract data into an approved development environment. section 3.5
- Check dependencies before relying on them: cloud migration must pass its milestones, and suitable open-source weather or economy data may be unavailable. section 3.5
- Investigate how migrated data and dataflows could provide timely, actionable information to Manufacturing and Retail Service; make testing and production data available through the application environments. section 3.5
Do not treat the proposed model as a delivery commitment in isolation. Implementation and delivery depend on satisfying the preceding feasibility and operational challenges. A separate setup check assesses whether older data is good enough for revenue and churn models; it is not stated as a demand-model quality result. section 4.9
