Reduce Price Arbitrage and Optimise E-Commerce Decisions
Web-Scale Discovery and Integration of Comparative Product Offers
Tags: Singapore Management University, Singapore, Consumer Goods & Services, Computing Technology
This technology automates product data retrieval and matching across e-commerce platforms, enabling accurate, web-scale product comparison and integration. By creating a dynamic knowledge base of comparative offers, it provides consumers and retailers with timely pricing insights, optimizing e-commerce decisions and reducing price arbitrage issues. Using a two-stage discovery and matching process, along with machine learning and crowdsourced feedback, it reliably matches identical products, including those with different brand names across regions. The system’s iterative approach continually improves accuracy and provides actionable insights for pricing strategies. Applications include consumer deal-finding, vendor sourcing, and product placement adjustments.
IP Type or Form Factor: Software & Algorithm
TRL: 4 - minimum viable product built in lab
Industry or Tech Area: Retail & E-Commerce; Big Data Analytics & Simulations
