Digital Mission

Creating Experience Ecosystems

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Product as a Platform Life-Cycle Analytics

Intelligent Personalization

Current Situation

Customization demands from customers and end consumers are increasing; yet there is no tie between the customer profile, past product usage, requirements, and buying habits.

Goals and Objectives

Rapid and accurate configuration and personalization of products and services that meet customer’s unique needs

Technology Deployed

Hardware: AR/VR, servers, storage, smartphones, tablets, IoT software: cloud, PLM, ALM, CPQ, ERP, CRM, ideation, social, BDA, cognitive/AI services: business services, IT services

 

Use Case Summary

Persona-based design that is achieved through machine learning–driven analysis and personalization of products and services based on direct customer input, past product usage, and buying habits; customer profile considered at an early stage of product planning, design, and NPI

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