The objective of this project is to design an AI-driven demand forecasting system using low-code platforms integrated with machine learning APIs. The system predicts product demand trends, optimizes stock levels, and generates automated procurement recommendations.
Design product sales data ingestion module.
Implement AI-based demand prediction logic.
Configure automated restocking alerts.
Build analytics dashboards for trend comparison.
Develop procurement recommendation workflow.
Conduct predictive accuracy testing.
Document forecasting model integration.
Present final demonstration.
