Predictive Chain

Platform for the future

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Inspiration

Predicting the future was always a dream so, this was a good start to it

What it does

Predicts the future sales of multiple products from multiple stores for an efficient supply chain process.

How we built it

We used LSTM and ARIMA algorithms to predict and consolidated the output on AWS website.

Challenges we ran into

Efficient and error propagation in the future

Accomplishments that we're proud of

Building 2 huge models in a short span of time.

What we learned

Algorithms we used and the various technologies we used.

What's next for Predictive Chain

A lot of applications can be built with similar algorithms.

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Updates

posted an update —

It started with this issue: 79% of sales organizations miss their quarterly sales forecast by more than 10%. In order to address this problem, we came up with a Sales Forecasting application.

An accurate sales forecast is an important tool for companies to have. It helps CEOs gauge the demand for their products. It helps companies better manage inventory. It allows CFOs to financially plan for the company’s growth. For public companies, forecasting impacts stock prices and market expectations. It allows marketing teams to see if a future dip in sales could benefit from promotional offers. Sales forecasting allows companies to see into the future and strategically plan their moves to increase growth.

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