Case Study: Saas Hospitality Customer Predictions

95% of the events in the client's database had missing contact information for the specific contact associated with the event. The client was looking for a solution to fill in those gaps in an automated way.

  • Read about a real world implementation of AI in saas
  • Key indicators of an effective data set for AI
  • Phases of an effective enterprise AI project
  • How to predict for and treat customer behavior with AI

Relativity6 Predicts Customer Behavior

  • Learn how to use data engineering to fill in key data points and indicators
  • Learn how R6 approaches the use case
  • Use R6 strategies to automate data base issues and fill in the gaps in order to do AI
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See why fortune 500 companies all over the world use Relativity6

Proving the impact of Artificial Intelligence on your Organization and Customers

Relativity6's AI insights and predictions gave us a depth of understanding and performance within the business that we never had before.

Brian Arnold

Brent Lehmann

General Manager, Innovation, Willis Towers Watson
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