Peak Case Studies Driving Sales Growth with AI: A Case Study on Regit
Edit This Case Study Record
Peak Logo

Driving Sales Growth with AI: A Case Study on Regit

Peak
Driving Sales Growth with AI: A Case Study on Regit - Peak Industrial IoT Case Study
Analytics & Modeling - Machine Learning
Robots - Autonomous Guided Vehicles (AGV)
Automotive
Education
Sales & Marketing
Predictive Maintenance
Vehicle Performance Monitoring
Data Science Services
Regit, formerly known as Motoring.co.uk, is the UK’s leading online service for drivers. The company faced a significant challenge in predicting which of their 2.5 million users were likely to change their vehicle and when. This information was crucial for the company to serve their customers in a more personalized and targeted way. The company operates by generating leads for companies in the automotive industry by providing a platform for people to book test drives, buy and sell cars, and request brochures, among other services. However, they were unable to predict which of their users were likely to change their vehicle, or even know who had changed their vehicle until after it had happened. This lack of predictive capability was a significant barrier to increasing their call center revenues.
Read More
Regit, previously known as Motoring.co.uk, is a leading online service for drivers in the UK. The company provides a platform for users to book test drives, buy and sell cars, and request brochures, among other services. They generate leads for companies in the automotive industry, serving a user base of 2.5 million. The company's primary goal is to serve their customers in a more personalized and targeted way, which they achieve by predicting which users are likely to change their vehicle and when.
Read More

Regit

Read More
Regit partnered with Peak to leverage their AI platform to overcome this challenge. Peak's AI platform pulled together user data from Regit's 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. This approach provided predictions about the likelihood of users changing their vehicle, which could potentially result in a sale for Regit. The Peak platform, which utilizes AWS SageMaker to deploy machine learning models, created a simple 'lead-score'. These lead scores were then integrated into Regit's CRM system, enabling their call-center agents to prioritize their activity based on the users with the highest chance of converting to a sale.
Read More
The implementation of Peak's AI platform and the integration of machine learning models into Regit's CRM system has significantly improved the company's operational efficiency. The ability to predict which users are likely to change their vehicle has allowed the company to serve their customers in a more personalized and targeted way. This has not only increased their call center revenues but also improved customer satisfaction levels. The company has been able to reduce operational costs by staffing the call-center at optimal times of day, further enhancing their efficiency. The improved services offered to customers have also contributed to growing the company's revenues.
27% increase in sales within just 30 days of implementing the solution
Up to 35% reduction in operational costs
Optimized staffing of the call-center at times of day most likely to result in a sale
Download PDF Version
test test