Description

This project focuses on the design and development of an AI-powered e-commerce product comparison and data intelligence platform aimed at helping businesses and consumers make smarter purchasing decisions. The platform aggregates product data from multiple online marketplaces and digital sources, providing a unified view of pricing, availability, specifications, reviews, and market trends across regions and vendors. Using advanced Artificial Intelligence and Machine Learning models, the system analyses large volumes of structured and unstructured data to generate actionable insights. These include intelligent product comparisons, price intelligence, demand trends, competitor analysis, and customer sentiment extracted from reviews and social media channels. Automation pipelines ensure continuous data collection, cleansing, and real-time updates, enabling users to access accurate and up-to-date information. The platform is designed with scalability and performance in mind, leveraging modern cloud infrastructure, APIs, and data-processing frameworks. A user-friendly dashboard presents insights through visual analytics, reports, and alerts, allowing businesses to optimise pricing strategies, improve product positioning, and reduce manual research efforts. Overall, this solution delivers significant value by saving time, reducing operational costs, and improving decision accuracy for e-commerce operators, retailers, and analysts. It transforms raw product data into meaningful intelligence, supporting faster, data-driven decisions in a highly competitive digital commerce environment.

Goals

Skills Required