Without the right tools, it can be difficult to predict your inventory levels, financials, or other resources accurately. Machine learning-based forecasting solutions can help. Demand Planning & Forecasting solutions on AWS use machine learning to predict future time-series data based on historical information, and require no machine learning experience. You can leverage forecasting solutions for inventory planning in retail, or, you may need financial planning to forecast key financial metrics such as revenue, expenses, and cash flow. Resource planning, such as staffing levels and predicting raw material for manufacturing, are also all examples where AWS can help you make predictions.

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  • Subscriber Churn Prediction and Retention on AWS

    This Guidance leverages Machine Learning (ML) techniques to build churn prediction models that identify subscribers who are high risk to churn and their key drivers.

  • Demand Forecasting for Retail on AWS

    This Guidance for demand forecasting shows the process of developing an estimate of future customer demand. Retail organizations can apply this solution to increase demand forecast accuracy by analyzing various internal and external variables in this Guidance and highlighting low-code, no-code, or extremely advanced approaches.

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