Industry: FINANCE

Call centre routines optimization with Spark ML and Kafka streaming build on Hadoop Cluster

The online trading company was running ML workflows their data processing and analysis on a Hadoop Cluster. They were facing challenges related to call conversion optimization, aiming to reduce the number of calls from the call center, as well as identifying the most promising traders who had demo accounts but haven’t registered on the production platform yet.                                          ​

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Benefits and improvements for our customer:

  • Fully automated and scalable selection of the highest value traders;
  • Reduced the cost of the call center services;
  • Improved the overall success rate of attracting and converting traders, resulting in improved ROI and business performance.