Inspiration
E-commerce is an emerging economic sector in present. Multiple startups like Glovo, Uber, Getir, etc are gaining millions of dollars in their services. The key of this success? Data. We have an opportunity to work in a real-life project and test ourselves in a challenge where the best is in.
What it does
We as a SaaS product want to give the customers a new insight of their sales. As an emerging Business Intelligence Platform we want to give the a forecast of the future sales their going to have. The impact of this tool? They are not going to stock more products that are not going to see the sun of light and give a bad impression to their clients if there is a run out of stock.
How we built it
We used an API with Flask and DashBoard to display the analytics and insights of data. When it comes to the Machine Learning model, we used Tensorflow to build multiple networks depending on the Group of products we are trying to forecast.
Challenges we ran into
From ETL part we had to deal a lot of NaNs and imbalanced data in cities. Also the definition of variables and some coding problems related with the modelling part. ¿¿¿¿¿¿ FRONT????????
Accomplishments that we're proud of
Creation of a Business Intelligence Platform, joining Data Science and Web application.
What we learned
How to use TensorFlow for Forecasting problems and how to creation of the web app.
What's next for McKinsey & Company Analytics
Continue learning from this tech world and improve as engineers and business visionary.
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