Leveraging Multiple Predictive Models for each Entity

Predict4Dynamics enhances predictive insights by allowing multiple AI models to be trained and deployed for a single CRM entity, such as leads, opportunities, or any custom entities.

This feature lets you create segment-specific models or test different model configurations tailored to your unique business scenarios.

For example, you could maintain separate lead prediction models for different regions, product lines, or customer segments, ensuring predictions are more accurate and actionable.

  • Allows users to create and train multiple AI models for the same CRM entity.

  • Modify configuration data such as FetchXML, Select Columns that Influence the Prediction, or Select a Column to Predict to build variations of the model.

  • Enables comparison, testing, and optimization of different model configurations for improved prediction accuracy.

With this capability, you can ask customized explanations for prediction, like, “Leads in the North region that are most likely to convert this quarter?” or “Opportunities in our enterprise segment have the highest probability of closing this month?”

Predict4Dynamics intelligently selects the most relevant model, providing real-time, data-driven predictions and context-rich insights to guide your sales, service, and operational strategies.

By supporting multiple models per entity, Predict4Dynamics empowers Dynamics 365 users to

  • Fine-tune AI predictions

  • Improve forecasting precision

  • and make informed decisions with confidence

—all without additional licensing or complex AI setups. This flexibility ensures your CRM data drives smarter, proactive business outcomes, transforming your Dynamics 365 CRM into a predictive, AI-powered decision engine.

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