DriveX has introduced MeetX, an AI-led Rider Identity Engine designed to personalise the used two-wheeler buying journey by matching vehicle recommendations to rider preferences, behaviour and lifestyle factors. The company says the system is aimed at simplifying vehicle discovery and reducing the complexity often associated with browsing large online inventories.
According to DriveX, the platform begins by asking users four questions related to their riding style, purchase priorities, budget and brand preferences. Based on the responses, buyers are assigned to rider profiles such as ‘The Beginner’, ‘The Practical’, ‘The Explorer’ and ‘The Connoisseur’, which are then used to generate vehicle recommendations.
The Bengaluru-based pre-owned two-wheeler platform said the recommendation framework is built around psychographic profiling rather than traditional search filters. The system seeks to understand rider motivations, values and behavioural preferences before presenting relevant vehicle options.
DriveX said the approach is intended to address what it describes as “choice paralysis”, a challenge faced by online buyers navigating large numbers of vehicle listings. By focusing on user intent and ownership priorities, the company aims to streamline the decision-making process and improve recommendation relevance.
“The future of mobility commerce will be driven by personalisation, not just inventory scale. Buyers today don’t want to spend hours comparing hundreds of similar vehicles; they want confidence that the vehicle they choose fits their lifestyle, priorities and riding aspirations,” said Devesh Taparia, CEO, DriveX.
The launch of MeetX reflects a broader trend towards greater use of artificial intelligence and behavioural analytics in digital vehicle retailing, as platforms look to create more tailored ownership and purchase experiences for consumers.