Implementing A.I powered engine to prioritize and hyper-personalize trade initiatives for every single customer
01. Business Challenge
Optimize the trade spends across initiatives, enable prioritization and personalization for every customer
02. Approach
03. Analytics Methodologies
- Historical Analysis to understand consumer behavior and performance of past promotions
- Classification Model for peer learning
03. Impact
- Increased hit rate of the promotion by 20%
- Increase in revenue from personalized promotions offered
Key Highlights
- Need for optimizing trade spends and enabling hyper personalized offers for every customer
- Built an advanced A.I engine and leveraged historical analysis and classification model
- Significant impact observed in sales growth and cost reductions
