In the process of building ML models and algorithms in my job and providing insights to the business counterparts I learned that, Business facing people need to have the ability to predict the future at their fingertips with turn-key prediction systems in order to make decisions faster on the day to day business.
What it does
Sager AI automated forecasting engine predicts sales, demand, revenues of multiple time-series with a single click of a button by using a CSV file upload of historical data in a fraction of minutes with beautiful visualizations.
How I built it
I used python flask micro-framework to build the basic web application, And fbprophet algorithm to forecast univariate time series and Plotly graphing library for visualization.
Challenges I ran into
Applying the regional holidays and events to the forecast algorithm dynamically so that the algorithm will be more region and business-specific.
Accomplishments that I'm proud of
Building a code-free experience for predictions for Business Users with the highest accuracy in the industry
What I learned
Solving a problem in the simplest way requires asking the right questions and clear out the assumptions noise.
What's next for Sager AI
Sager AI will be further improved to help/ease out the business decision making process seamless at their fingertips.