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Shopping basket and sequence analytics
prudsys shopping basket and sequential analysis algorithms extract significant item sets (shopping baskets) and/or sequences. The greatest challenge here is the amount of data to be handled given that transaction data can easily reach billions of data sets. Other challenges concern content: Which rules are statistically significant? How do we find rules for all items? How do the rules work in chains?
For over ten years prudsys AG has been developing extremely high performance shopping basket and sequence analytics algorithms. These not only increase the speed of transactions and the amount of transaction data handled but they also cover nearly every possible application: Shopping basket analysis, sequence analysis, link analysis, sequential shopping basket analysis, taxonomy processing, combination with reinforcement learning algorithms for chain optimisation, automated parameter tuning and much more.
The result is a family of patented methods whose speed is unique around the world.
- Processing of virtually unlimited amounts of data
- Analysis of millions of transactions in just a few seconds
- Automation of parameter selection