Escapade sports nearly have one million customer purchased since it started business 10 years ago, either from conventional store or from online store, the number of SKU also reach to 200 thousand, many of products already end of life in the market.
It is always challenge to find out top value customers with top value product category their favorite, also more difficult to give precision recommendation for cross selling products when customer purchasing, it purely rely on sales staff's memory and experience in conventional store.
Our solution starting with help Escapade to consolidate the segment customer behavior data into big data platform in cloud, include marketing execution data, POS transaction data,online store browsing log file.
Then we develop business model with a 360-degree view of profitable sales channel, the customer and the product catalog.with machine learning engine to continue find out the linkage in customer-product-channel factors.
After that, pull information to real-time recommendation engine to give more precision recommendation when customer next arrived. Finally, the engine capture the result of recommendation as inputs for further model optimization.
• Anticipates a 10 percent improvement in marketing effectiveness
• Identifies the highest-value customers out of nearly one million
• Targets individual customers based on unique preferences and histories