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

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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