Strengthening E-Commerce Growth Through Buyer Trust Analytics

Problem Statement

The client, a leading global e-commerce company, aimed to strengthen its marketplace by developing a scalable framework to evaluate buyer trustworthiness. With millions of transactions occurring daily, they needed a reliable way to quantify buyer credibility, identify behavioral signals, and link trustworthiness to buyer ROI. Existing methods lacked the ability to generate accurate buyer-related hypotheses, evaluate credibility at scale, or create meaningful customer profiles. The lack of a definitive benchmark to measure buyer trustworthiness and feature impact made it difficult to validate outcomes, while limited historical data hindered efforts to establish baselines for buyer ROI. Furthermore, the narrow definition of trustworthiness in use did not fully capture the complexity of buyer behavior. The client required a robust, data-driven model that could overcome these limitations, deliver measurable trust scores, and provide actionable insights for managing buyer risk and optimizing ROI across their global marketplace.