Machine Learning Use Cases

Machine Learning Intelligent Recommendation

Intelligent Recommendation

  • Significantly improve catalog navigation and item discovery
  • Create upsell and cross-sell opportunities
  • Improve shoppers’ experiences and product usability
Machine Learning Form Recognizer (ML-OCR)

Form Recognizer (ML-OCR)

  • Structured Output – Key & value pair in JSON format
  • 1-to-Many – 1 centralized model to handle multiple layouts
  • High Accuracy – supported by ML Model
Machine Learning Customer Segmentation

Customer Segmentation

  • Support marketing and promotion strategies based on segment
Machine Learning Churn Prediction

Churn Preduction

  • Identify who and when customers are likely to churn
Machine Learning Demand Forecasting

Demand Forecasting

  • Improve business operations in terms of budgeting, strategic planning, and inventory management
Machine Learning Anomaly Detection

Anomaly Detection

  • Identifying outliers helps to prevent fraud, adversary attacks, and network intrusions that can compromise your company’s future.
Machine Learning Use Case - Demand Forecasting

More details of Demand Forecasting

Demand forecasting is the process of predicting what the demand for certain products will be in the future. This helps manufacturers to decide how much they should produce and guides retailers toward what they should stock.

  • Accelerate data processing speed
  • Provide a more accurate forecast
  • Analyze more data in different dimensions
  • Identify hidden patterns in data
  • Automate forecast updates based on the recent data
Machine Learning (ML) Inventory Management

Inventory Management

For most retailers, demand planning systems take a fixed, rule-based approach to forecast and replenishment order management.

Such an approach works well enough for stable and predictable product categories but can show its limits regarding Inventory and Replenishment Optimization.

  • Inventory Level: Adjust inventory quantity with demand
  • Order/Repleinishment Frequency: Adjust order frequency to match order quantity with demand

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