Potato Optimizer

Inspiration

Analyzing Supply chain, learning limitation of current open source solutions.

What it does

It optimizes the special kind (generally used) supply chain by optimizing all possible routes and minimizing overall cost.

How we built it

we have built the prototype as python flask web application. It takes the all possible permutations of stakeholders using excel and showcase the allocation provided to each route.

Challenges we ran into

we are trying to generalize our algorithm to find optimal solution in o(n^2) time complexity, but doing that might prove P=NP which is one of the famous unsolved problems of computer science. It's seems too ambitious but, maybe!

Accomplishments that we're proud of

we have successfully optimized a special case of supply chain in O(n^2) time complexity, which will save the cost of companies not only in supply chain terms but also it will save the computation power as well.

What we learned

we learned that when we dig into seemingly close ended problem statements, it hides much deeper problems which comes to surface whenever we dig deeper into it. it's always the dunning-Kruger effect

What's next for Potato Optimizer

Future scope of potato optimizer is to become the generalized end to end supply chain planning and optimization tool while also improving it's USP which is the algorithm we using. sometimes simple mathematical steps can beat the advanced technologies. so, vision of the Potato Optimizer is to improve the Optimization while keeping it Light weighted at the same time.