Inspiration
Our project, AlgoHP, was inspired by the HP Supply Chain Management Challenge at HackUPC 2023. The challenge motivated us to develop a solution that addresses inventory forecasting and visualization in the context of supply chain management.
What it does
AlgoHP utilizes the ARIMA technique for time series forecasting to predict the inventory units for each of the 100 products over the next 13 weeks. The forecasted data is then visualized in a user-friendly dashboard. Additionally, AlgoHP features a GPT-powered command bar that provides detailed explanations about upcoming shipment information and requirements, allowing users to interact with the system in a conversational manner.
What we learned
Developing AlgoHP provided valuable insights into time series forecasting and its applications. We gained expertise in ARIMA modeling, handling seasonality and trends, and integrating regression analysis for improved accuracy. We also learned about natural language processing through the GPT-powered command bar, enhancing our understanding of conversational interfaces.
What's next for AlgoHP
Future plans for AlgoHP include incorporating machine learning algorithms to refine forecasting models in real-time. We aim to enhance the dashboard with predictive analytics and optimization algorithms for optimal inventory management. Further improvements to the GPT-powered command bar will involve advanced natural language understanding and contextual reasoning, enabling more sophisticated user interactions.
Built With
- fastapi
- python
- react
- typescript
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