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Peak and Decision Intelligence

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 Peak and Decision Intelligence - IoT ONE Case Study
The Challenge

There are two parts of service: generate leads for companies in the automotive industry by providing a way for people to book test drives, buy and sell cars, and request brochures, among other things. They could not predict which of our users were likely to change their vehicle, or even know who had changed their vehicle until after it had happened.

The Customer
About The Customer

Formerly, Regit is the UK’s leading online service for drivers. 

The Solution

Using Peak’s Decision Intelligence platform they pulled together our user data with data from our website and marketing systems, as well as from the DVLA (Drivers and Vehicle Licensing Agency). They applied ‘Categorical Machine Learning models that can handle both category and variable data simultaneously. It gives predictions about the likelihood of users changing their vehicle — resulting in a sale for Regit.

The Peak platform utilizes AWS SageMaker to deploy machine learning models, with the platform creating a simple ‘lead-score’. The lead scores are then pushed into our CRM system, allowing our call-center agents to prioritize their activity based on the users with the highest chance of converting to a sale.

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