AI Market Basket Analysis System
Market basket analysis — classic retail analytics, but modern ML approaches far exceed Apriori and association rules. Neural network models catch non-linear dependencies, seasonal patterns and purchase context inaccessible to rule algorithms.
Classical and Neural Network Approaches
FP-Growth on 1M transactions with 10k SKU at support=0.01: processes in 3-8 minutes on single CPU. Neural network model requires GPU but gives +15-20% to Recall@10 on sparse data vs pure association rules. Hybrid approach: rules for high-support pairs, neural net for long-tail.