JOURNAL ARTICLE

Enhancing Customer Experience through PEGA s AI Powered Decisioning

Tejesh Reddy Singasani

Year: 2022 Journal:   Zenodo (CERN European Organization for Nuclear Research)   Publisher: European Organization for Nuclear Research

Abstract

In this paper, we will examine the revolutionary effect of PEGA AI-powered decisioning on improving CX. Following AI breakthroughs, it has become clear that companies have their sights set on automatic customer service to deliver a more personable and efficient experience for customers. PEGA's AI decisioning engine uses data-driven real-time insights to predict desired outcomes, better optimize the overall experience and increase customer satisfaction. This paper discusses the AI mechanisms of PEGA, demonstrates how they work using different use cases and emphasizes their power in real-time scenarios.

Keywords:
Customer experience Customer service Set (abstract data type) Work (physics) Service (business) Sight Customer intelligence Voice of the customer

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Topics

AI in Service Interactions
Physical Sciences →  Computer Science →  Artificial Intelligence
Persona Design and Applications
Physical Sciences →  Computer Science →  Human-Computer Interaction
Explainable Artificial Intelligence (XAI)
Physical Sciences →  Computer Science →  Artificial Intelligence

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