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AI / Retail AnalyticsExploring
RetailPredict
RetailPredict examines how forecasting models can be made practical for mid-sized retailers without data science teams.
Problem
Inventory decisions are often based on intuition, leading to stockouts and tied-up capital.
Solution
Forecasts and reorder recommendations grounded in sales history, seasonality, and lead times.
Target customers
- Multi-location retailers
- E-commerce operators
- Wholesale distributors
Key capabilities
- Demand forecasting
- Reorder recommendations
- Seasonality modelling
- Inventory reporting
Technology focus
- Forecasting models
- Data pipelines
- Analytical databases
- React
Cloud & infrastructure
- Google Cloud
Current stage
- Exploratory