[INC4] AI Rules Engine System for Promotion Overlap Control at Inochi
Tasco · Posted 10 months ago
Automotive and mobilityPredictive Analytics / Forecasting
- Budget
- To be determined
- Timeline
- 13 weeks
- Closed on
- 13 Jan 2026, 23:59 ICT
Problem statement
Inability to track the effectiveness and overlap of multiple promotions simultaneously due to manual management via Excel/email, leading to lack of synchronization, systematic issues, and potential errors/overlaps between customers, products, and time. (Time spent on manual updates and current error/overlap rate need to be quantified).
Expected outcomes and success metrics
Collect all current & historical promotions. Design AI rules + machine learning system to analyze promotions. Integrate with sales data to check program application. Alert Sales/Marketing about risks. Automate daily/weekly/monthly promotion reports.
Current process
Manual updates via Excel, Email, Zalo, etc.
Current solution
Manual updates via Excel, Email, Zalo, etc.
Target users and impacted teams
Sales, Financial Accounting (TCKT), Operations, Marketing
Data availability and readiness
Data for all current & historical promotions (information on customers, products, time, application conditions) is needed. This data is structured (Database/Spreadsheet) and needs to be integrated with sales data.
Integration, deployment and infrastructure
Requires designing an AI Rules Engine and integrating it with sales data (possibly via API) to check promotion application. A system for automated alerts and reports (via Email/Zalo/System) needs to be built.
Relevant AI technologies
Predictive Analytics / Forecasting