Inspiration We noticed that small businesses were spending hours manually tracking their inventory across multiple sales platforms, leading to constant errors and lost revenue. Our team was inspired to create an intelligent, centralized system to eliminate this tedious work and bring a 'Bright' future to inventory management.
What it does Bright is a unified inventory tracking dashboard. It features automatic, real-time synchronization with major e-commerce platforms like Shopify and Amazon. Users can view stock levels, predict demand using our machine learning model, and generate automated re-order alerts—all from one clean interface.
How we built it We built the backend using Python with the Django framework for robust data handling. The front-end uses React for a fast, responsive interface. Our real-time syncing uses WebSockets, and the demand prediction model was trained using TensorFlow and hosted on an AWS Lambda function.
Challenges we ran into The biggest challenge was achieving reliable, concurrent real-time syncing across several different platform APIs, which often have rate limits and unique authentication methods. We overcame this by implementing a smart queueing system using Redis to throttle API calls and retry failed requests gracefully.
Accomplishments that we're proud of We're most proud of the demand prediction accuracy, which achieved 85% reliability in our initial tests. We're also proud of the intuitive drag-and-drop dashboard builder, which allows any business owner to customize their view in under five minutes.
What we learned Technically, we gained deep expertise in managing microservices architecture and handling complex API integrations. On a soft-skill level, we learned the importance of clear, asynchronous communication using tools like Slack and Trello to keep our distributed team on track
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