Building a Machine Learning Model to Predict the Sales of Paints Manufacturer
About Building a Machine Learning Model to Predict the Sales of Paints Manufacturer
Industry: eCommerce
Business Type: Startup
Industry: eCommerce
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The Building a Machine Learning Model to Predict the Sales of Paints Manufacturer App
Alarming Challenges
Building a Machine Learning Model to Predict the Sales of Paints Manufacturer
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Our Process
1
Conceptualization
Competition Analysis
Customer Data Analysis
Customer Data Analysis
2
Design
User Journey Mapping
App Design Improvement
App Design Improvement
3
Development
Android App Development
iOS App Development
iOS App Development
4
Deployment
App Store & Play Store Deployment
Post-Deployment Support
Post-Deployment Support
Our Project Challenges
1
Predicting New and Prototype Part Sales
Forecasting sales for newly manufactured parts and prototypes posed a significant challenge due to the lack of historical data. To address this, we leveraged relevant characteristics shared between existing parts and the prototypes.
2
Skewed Data from APIs
The client’s data, obtained through APIs, exhibited skewness. This skewed data significantly impacted model training. To mitigate this, our team developed an API to extract more current and balanced data, ensuring better model performance.
Contrary to popular belief
Tools and
Technologies Used
For IndexingAlgolia SDK
Business Type: Startup
For AnalyticsFirebase
CI/CDApp Center
The Results
1+ millioniOS App Downloads
1+ millionAndroid App Downloads