Predictive analytics • USA
Retail Demand Intelligence
A forecasting and action dashboard for demand, inventory pressure, claims, and campaign signals.
WorkflowDemand and inventory decision rhythm
MeasureForecast cadence, action queues, and exception review
What changed
The dashboard turned disconnected commerce signals into a reviewable operating view with alerts and action paths.
Predictive value was framed around decisions, not a model score alone.
Admin-managed takeaways
- Define the decision.
- Compare to baseline.
- Review actions weekly.
Challenge
Leadership lacked a single view of demand shifts and inventory pressure across channels.
Solution
AI Loop built a dashboard with baseline forecasts, exception alerts, and operational action queues.
Delivery approach
Data readiness review, forecast baseline, dashboard build, review cadence, and optimization backlog.
Architecture summary
Data ingestion pipeline, forecasting service, dashboard UI, alerting layer, analytics events.
Integrations
- Commerce platform
- Ads data
- Inventory exports
- Analytics
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