TLDR: WeBuyCars, a leading South African vehicle trading platform, is revolutionizing its operations by placing artificial intelligence (AI) at the core of its business. The company has deployed two proprietary AI systems, ‘Blue’ and ‘Orange,’ to enhance efficiency, optimize pricing, and improve customer interactions. ‘Blue,’ a machine learning engine, autonomously prices and purchases vehicles, having already acquired over 2,800 cars without human intervention. ‘Orange,’ a customer-facing large language model, streamlines online interactions and internal workflows. This strategic shift marks a significant digital transformation for WeBuyCars, aiming to augment human expertise and automate high-volume tasks.
WeBuyCars, one of South Africa’s largest vehicle trading platforms, is undergoing a significant transformation by integrating artificial intelligence (AI) and machine learning into the heart of its operations. This strategic move aims to streamline processes, enhance decision-making, and improve overall efficiency in the dynamic vehicle trade market.
According to Wynand Beukes, Chief Digital Officer at WeBuyCars, the company is currently leveraging two primary AI systems internally, aptly named ‘Blue’ and ‘Orange.’ These systems are designed to address distinct yet complementary aspects of the business.
‘Orange’ serves as the customer-facing large language model (LLM), integrated directly into the WeBuyCars website. Beyond its public interface, ‘Orange’ also incorporates AI functionalities utilized by internal teams, including agentic AI capabilities that enable autonomous and proactive support for both customers and staff. Beukes highlighted that ‘Orange’ is specifically engineered to enhance user interactions and optimize internal workflows, making processes smoother and more intuitive.
On the backend, ‘Blue’ functions as a robust collection of machine learning models. This system is the backbone of WeBuyCars’ proprietary pricing and vehicle information systems. ‘Blue’ meticulously analyzes vast datasets, including historical buying and selling data, market trends, and comprehensive analytics, to generate highly accurate vehicle valuations. These AI models are updated weekly, ensuring that pricing decisions are guided by the most current market dynamics, a critical factor in the fast-paced vehicle trade business.
The impact of ‘Blue’ has been substantial. Beukes revealed that ‘Blue’ has already autonomously purchased just over 2,800 cars without any human pricing involvement. The company is actively scaling up this capability, demonstrating the system’s growing role in automating high-volume, low-complexity transactions, such as pricing common models like the Volkswagen Polo Vivo. This automation frees up human expertise to focus on more complex or unique cases, such as valuing a rare 1974 Mercedes-Benz, thereby augmenting human judgment rather than replacing it.
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This shift towards AI is the latest development in WeBuyCars’ extensive digital overhaul. The company, founded over two decades ago by brothers Dirk and Faan van der Walt, began with largely manual processes. Even 17 years ago, when Beukes joined, core functions like inventory, sales, and finances were managed through basic spreadsheets. The pivotal decision to build their own software from the ground up laid the foundation for the sophisticated system that now manages all aspects of the company’s operations, from sales and pricing to customer leads and marketing. WeBuyCars currently operates 17 large vehicle showrooms, known as ‘vehicle supermarkets,’ and nearly 100 smaller ‘buying pods’ across South Africa, combining e-commerce capabilities with a significant physical footprint. The company’s control over its software and data allows for rapid testing of new ideas and features, with the marketing division also playing a crucial role in feeding data to the AI systems.
