Business Intelligence

Customer Behaviour Analytics

Automotive Retail

Analytics and information management present a significant opportunity for automakers to use quantitative techniques to support the planning of interventions across the customer lifecyle:

– Understanding the potential value of different customer segments
– Using the knowledge to strategically target new customers whilst maintaining the loyalty of existing customers
– Improving customer experience to drive retention.

Benefits for the company

To succeed automakers have to fully understand customer needs and behviours in order to develop a single view of the customer and thereby build compelling, differentiated offers throughout the sale and ownership cycle which are relevant in today’s digital environment.



Type of expertise/ AI domain

Retention Analysis, Prediction, Customer Segmentation, Sentiment Analysis

Internal data required

Customer Historic Purchases, Customer Scoring, behaviour and Recommendation Data

External data possible

Social Media Data

Research Paper

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