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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 automationRetrieval augmented generationAgentic aiPredictive analysisMutli agent systemsLarge language modelsEcommerce 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.
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