The Client
The client is a leading player in the automotive industry, specializing in aggregating car offers from a wide range of sources. They rely heavily on precise data to provide valuable insights to their users, including car dealers, buyers, and market analysts. Accurate classification of car models and their specific characteristics is essential to delivering reliable information on pricing, profitability, and market trends.
The Client Request
The client needed a solution that would allow them to scale quickly by integrating new car offer sources, while also providing accurate insights into key metrics like car profitability, pricing trends, and performance forecasts. They requested a system that could adapt to new sources of data, categorize car listings accurately, and generate actionable reports based on detailed car attributes.
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Result
The advanced AI models enabled accurate classification of cars based on their make, model, generation, and other key attributes, even for closely related versions. This improved classification accuracy by 30%, allowing for more precise insights into car characteristics.
The unified data framework also enhanced scalability, enabling 70% faster onboarding of new data sources, supporting the client’s rapid expansion efforts.
Additionally, the system provided actionable insights into car profitability, pricing trends, and performance across a full range of characteristics, driving better business decisions. By leveraging cloud-based platforms like Azure, we optimized resource use, reducing model training time by 40% and improving overall efficiency.
We partnered with PinoByte to build a custom payment gateway, and their technical expertise exceeded expectations. They delivered a plugin-based platform that enabled rapid integration of new payment providers, improving our onboarding speed by 3×. They also built an intuitive admin panel and a powerful fraud detection system.
Throughout our collaboration, PinoByte proved to be a reliable and professional technology partner.
