Discover how Machine Learned Recommendation helped CSP to personalize offers and improve offer uptake

A CSP in Africa observed low offer uptake across customer touchpoints. Though they were using internally developed analytics techniques to recommend offers for each customer, it was not effective.

The CSP partnered with Flytxt to deploy Offer-X, ML-based NBO recommendation engine, to recommend ‘the next best offer’ based on each customer’s historical behavior and preferences. The solution with its data-driven decisioning capabilities enabled the CSP to make significant improvements in offer uptake rates.

Download the case study authored by Ovum (Omdia) to discover the success story in detail.



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