Leading Automotive Retail & Services Company
Predicting customer behavior
Our client needed to anticipate customer behavior to make more informed business decisions. We developed a predictive analytics solution that strengthened customer retention strategies and enabled more data-driven decision-making.
- Industry
- Capabilities
- Regions
- 🇺🇸 United States
- Published
- July 2026
The Challenge
During the COVID-19 pandemic, the company faced complex decisions regarding store closures and branch reconfiguration. It needed reliable insights to estimate the impact of each decision, predict potential customer and revenue loss, identify the most effective mitigation strategies, and prioritize the retention of its highest-value customers.
The Solution
We designed a predictive analytics solution based on machine learning and artificial intelligence, integrating historical customer data into a centralized data platform to develop models capable of predicting customer behavior in response to store closures. We also incorporated geospatial visualizations to simulate different scenarios and developed personalized offers based on each customer's purchase history and value.
Benefits
- Achieved 34% customer retention through targeted actions.
- Established a data-driven decision-making model to support strategic initiatives.
- Improved customer experience through more personalized offers.
- 34%
- Customer retention
- 13 million
- Customers
- +480
- Branches across 9 states