AI & Generative Tech · Retail
Predictive Analytics Platform
Enterprise predictive analytics platform using machine learning to forecast sales, demand, and trends. Increased forecast accuracy by 40% and reduced inventory costs by 25%. Serves 1,000+ businesses.
- Client
- PredictAI Analytics
- Sector
- Retail
- Scope
- AI & Generative Tech
- Timeline
- 9 months
Outcomes
- Forecast accuracy
- +40%
- Inventory costs
- −25%
What we built
Increased forecast accuracy by 40% and reduced inventory costs by 25%
Also in the build
- Sales forecasting
- Demand prediction
- Trend analysis
- Inventory optimization
- Customer behavior prediction
- Risk assessment
- Real-time analytics
- Custom model training
- API for integrations
- Mobile apps
- Automated reporting
- Visualization dashboards
The stack behind it
Delivered over 9 months.
Technologies
Python · TensorFlow · PyTorch · Scikit-learn · Pandas · NumPy · React · Next.js · Node.js · PostgreSQL · Redis · AWS SageMaker · Docker · Kubernetes · MLflow · Apache Spark · Jupyter
Built with
The Digiboffins services we worked through. Each one you can start with on its own.
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