AI Recommendation Engine

Case Study: Customized Recommendation Engine to improve Customer Experience

A leading Promotional Product business was generating a massive amount of information from the ordering activity of its customers.  Their leadership was smart to recognize the potential value of their data and sought to leverage this asset to build a customized Recommendation Engine.  The goals of this effort were to improve the user experience and increase order volumes as well as customer loyalty. 

Macrosoft AI was hired to evaluate the customer’s data and design/develop/train/implement a solution that the customer had envisioned.

  • Practical application of CRISP-DM methodology
  • Common product and event attribute classification
  • Integration of recommendation engine into the call center interface
  • Collaborative data filtering techniques used.

See how this Promotional Products company used the power of Data Analysis and Recommendation Engine to improve customer experience. Download the case study now.

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