AI

Predictive Analytics Platform with ML

Build a predictive analytics system for sales forecasting, demand prediction, and risk assessment.

Our role: AI Engineer

Predictive Analytics Platform with ML product screenshot, built by Devs & Logics

The challenge

Historical data quality, feature engineering, model accuracy, and real-time predictions.

What Devs & Logics delivered

Solution 1: Time series forecasting using Prophet and ARIMA
Solution 2: Machine learning models (XGBoost, Random Forest)
Solution 3: Feature engineering pipeline
Solution 4: Model training and versioning with MLflow
Solution 5: Real-time inference API
Solution 6: Next.js dashboard for visualization
Solution 7: Supabase for data storage and model results

Outcomes

Forecast accuracy of 87%
Demand prediction reduced inventory costs by 25%
Risk assessment prevented $2M+ in losses
Real-time predictions with <1 second latency

Technologies

PythonProphetXGBoostMLflowNext.jsSupabasePandasNumPyFastAPI

saas mvp development

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