A prominent retail company approached Vrinsoft to build a web-based inventory management system using AI. The client needed a solution that could handle bulk data, generate demand forecasts, and automate stock decisions. They wanted to reduce manual errors and gain real-time insights into inventory across multiple locations. Our team designed and developed a scalable web application that uses artificial intelligence and machine learning to streamline and optimize their inventory processes.
AI Based Inventory Management Web App
Vrinsoft Developed an AI-Powered Web App to Automate Inventory Management for a Large-Scale Retail Chain Across Multiple Locations
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Platform
Website -
Industries
Retail -
Technology
Python React.js PostgreSQL AWS
About Project
Key Features
AI-Based Forecasting
Predicts stock demand and suggests restocking quantities.
Real-Time Dashboard
Live data on stock levels, sales, and purchase trends.
Multi-Location Management
Tracks inventory across warehouses and outlets.
Role-Based Access Control
Custom access for admin, staff, and managers.
Automated Purchase Orders
System-generated PO suggestions based on trends.
Data Visualization Tools
Graphical views of performance and sales patterns.
Vrinsoft delivered a web solution that aligned with our operational needs. The AI models were trained to suit our sales history and helped us cut down on overstocking. The user interface is simple, and the platform handles large datasets without issues. Their team was consistent and transparent during every phase of development.
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