Desktop AI-Powered Retail Sales Forecasting and Customer Analysis System

Create a desktop application for retail stores to track sales, forecast demand, and analyze customer behavior using AI for better business decisions.

Design database for products, customers, sales, and transactions.

Implement secure login and role-based access.

Develop modules for sales entry, customer management, and reporting.

Preprocess historical sales and customer data for AI modeling.

Apply ML algorithms to forecast demand and analyze customer behavior.

Build dashboards for analytics and trend visualization.

Implement notifications for stock management and sales updates.

Conduct testing for AI predictions and usability.

Document full system workflow, AI methodology, and deployment instructions.