AI-Driven Hyperlocal Vendor Marketplace With Demand Prediction And Dynamic Pricing

Abstract

This project presents a Local Vendor Smart Marketplace that connects customers with nearby vendors using location-based services and intelligent demand analysis. The system detects the user's location to identify vendors within a defined delivery radius and displays available products from nearby shops. A demand prediction module analyzes previous orders and seasonal patterns to identify popular products and highlight high-demand items. The system also incorporates dynamic pricing mechanisms that adjust product prices based on demand levels and seasonal trends such as festivals and weather conditions. By integrating location awareness, demand prediction, and intelligent pricing, the proposed system improves vendor visibility, reduces delivery time, and enhances customer convenience in local shopping environments.