Billion Dollar toilet paper

https://youtu.be/oecCMf29nUo

Inspiration

This Project is about Data Science, Graph Analysis to understand, how something like toilet paper is sold as gold during Pandemic. This project uses data science technologies to understand, predict and perhaps prevent global supply chain shortages specially for those items which every person needs to survive.

What it does

Procure to Pay Julia package provide a unified Analytics platform to support data analytical operations on all sort of Procurement, Accounts Payable, Procurement including Vendor, Use, Freight, Misc Tax Accruals data to address complete Buy to Pay data wrangling operations.

This package will provide a complete Analytic Software package, which can be deployed as a bolt-on or independent application for all data extract, load, transformation, ad-hoc reporting & Analytics, visualizations and tooling to support Data Science, AI, ML predictive Analytics.

How we built it

Platform: TigerGraph, Oracle OCI, AWS, Google or Microsoft Azure data cloud. Analytics: Jupyter NBs, Julia, TigerGraph GSQL, Oracle Analytics Cloud Programming/Framework: Python, Julia, FluxML, TigerGraph GSQL, TigerGraph ML

Challenges we ran into

Gathering, cleaning and wrangling data from reliable sources is the key to success to any project. We worked very hard in gathering, using quality data.

Accomplishments that we're proud of

One can't deny, in recent time, AI Advance Predictive Analytics dominate market conditions. Most of the organizations now a days can predict their capital purchases, sales with great accuracy and plan manufacturing accordingly. Yet, These organizations and Advance technologies failed to predict and manage life essentials supply chain shortage during recent covid pandemic. Not because, We don't have the capabilities, it was due to lack of monetary benefits realized. I feel very accomplished to build this open source community project which serves a greater cause, which no one dare to open source it for free use.