flutter-app-for-softdrink-sales-prediction-using-xgboost-regressor's Introduction

flutter app for soft drink sales prediction using XGBoost Regressor

Fine tuned XGBoost regressor

This app is used to predict sales in specific areas in Ethiopia and then used to calculate best route to market decisions. Also used to allocate resources and estimate demand for production. Specifically built to predict sales for

Coca-Cola
Sprite
Fanta

Model Deployment

Model deployed to railway as an API
API=https://api-production-3288.up.railway.app/predict

R2_score 89%

Parameters to predict sales

City
Latitude
Longitude
Distributor
Brand
Container Type
Size
Price
Pop

Training_data

shape of training data=(6376, 10)

The above matrix shows the correlation amongst the parameters

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