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To boost their outbound sales efficiency, Banca Monte dei Paschi di Siena (MPS), the world’s oldest bank still in operation, leveraged Teleperformance’s TP Recommender solution to maximize their leads without leaving anything to chance.

A machine-learning-based predictive analytics suite, TP Recommender uses historical data to predict churn, recommend alternative products, improve upsell, enhance collections, and propose the next-best action.

The power of using such advanced technology meant a better understanding for agents on how to manage calls and for managers to build more robust strategies.

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TP Recommender was meant to create more campaigns for MPS and make predictions for each. Today, Teleperformance runs five different outbound campaigns for MPS, selling various financial services. Read the E-book to learn more.

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