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Final Year Project

Neurocom - Intelligent Ecommerce Automation

Team

MU Muhammad Masood S S M Huzaifa Riaz KU Kunwar Muhammad Haris
Business process automation Retrieval augmented generation Agentic ai Predictive analysis Mutli agent systems Large language models Ecommerce automation

Abstract

Ecommerce is one of the fastest growing sectors in the world. Sellers are often trapped in repetitive tasks, manually answering similar queries of customers, managing inventory based on demand and supply, identifying winning products, and calculating complex profit and loss metrics. These inefficiencies lead to burnout, unhappy customers, and lost revenue. NeuroCom serves as an intelligent workforce for e-commerce sellers, designed to eliminate the burnout caused by repetitive manual tasks. By centralizing all ecommerce channels into one platform and deploying specialized AI agents, the system autonomously resolves customer queries, predicts inventory stock outs before they occur, provide real-time insights for products and orders. Integrated with platforms like Daraz, and Shopify. NeuroCom transforms scattered business metrics into decisive actions, allowing sellers to stop micromanaging daily operations and focus entirely on profitable growth.