Catch Them in the Act: CEP for Real-time Ecommerce Influence - Thursday, March 19, 2015
By Mohamed Usama Mansoor
- 19 Mar, 2015
Big data analytics play a key role in the retail industry where common use cases include product recommendations, targeted marketing, dynamic offers, product selection, and A/B testing based on product placement. Most current systems use batch processing technologies like MapReduce to process transaction logs a few hours later and extract useful insights. Although such insights are useful for trends that last a long time, they often come in too late. On one hand, the store cannot act on any short- term trends (e.g. very common in auction use cases) and even long-term trends would have progressed by the time action is taken.
This session will focus on a sample system and explain in detail how a retail store can incorporate real-time updates into recommendation, product offers, and other analytics using WSO2 Complex Event Processor. Our system can react to short-term trends, provide dynamic offers within milliseconds, and react immediately to any new trends.
In this session, we will discuss:
- Why real-time analytics?
- Why real-time analytics for retail?
- How to use WSO2 CEP to support real-time retail use cases?