OptiFlow - Enhancing HP's Supply Chain Robustness

Inspiration:

The project was inspired by the need to improve the robustness of HP's supply chain by addressing disruptions through stochastic modeling.

What it does:

OptiFlow optimizes supply chain resilience by analyzing and modeling disruptions, ensuring a seamless and reliable flow.

How we built it:

We built OptiFlow using advanced stochastic modeling techniques and data analysis to identify and mitigate potential disruptions in HP's supply chain.

Challenges we ran into:

We faced challenges in accurately modeling complex disruptions and integrating the solution into HP's existing supply chain infrastructure.

Accomplishments that we're proud of:

We successfully developed a novel approach to enhance supply chain robustness and demonstrated its effectiveness in improving reliability for HP.

What we learned:

Through this project, we gained valuable insights into stochastic modeling techniques, supply chain dynamics, and the importance of resilience in complex business operations.

What's next for OptiFlow - Enhancing HP's Supply Chain Robustness:

In the future, we plan to further refine and validate OptiFlow, expanding its capabilities to address additional challenges and collaborating with HP to implement it on a larger scale.

Built With

• fastapi
• python
• pytorch
• scikit-learn
• streamlit