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Automating decisions with real-time situational context

Martech

The engine uses a combination of predictive analytics and machine learning, business rules and predetermined constraints to develop a list of potential offers for each customer,” Loftis explained. However, there are contextual clues that will make the bank’s offers to Jason much more relevant. “In

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Citi, Aflac and Verizon: Three different Pega journeys

Martech

All the ‘whats’ are loaded in an offer palette; using contextual clues and models that run in the decision engine, it figures out when the customer sees the offer.” We now use automation, AI or machine learning and a workflow process to auto-pay those.