Challenges

High Precision in Identifying First-Time Purchases

The AI model demonstrated high accuracy in detecting first-time purchases across various product categories, such as Chemicals, Newspapers, GSM Prepaids, and Products for Kids. Each category showed a precise distinction in identifying initial purchases, significantly enhancing targeted marketing efforts.

Improved Category-Specific Insights

The model provided clear, category-specific insights into customer behavior. For example, the graphs indicate distinct patterns for products like Wine, Tea, Coffee, and First Aid Kits, allowing for more effective personalization of promotions and inventory management strategies.

Enhanced Data-Driven Decision Making

By delivering reliable and precise analytics on first-time purchases, the model empowered the business to make data-driven decisions, optimize stock levels, and refine marketing campaigns tailored to newly acquired customers, ultimately driving better engagement and conversion rates.