Prescriptive Analytics

Optimize decisions with constraints, objectives, and scenarios.

Purpose

Empowers users to determine the best course of action through optimization and personalized recommendation systems, bridging the gap between insight and action.

Key functions

• ConductLinearOptimization — Identifies the optimal values for input variables to maximize or minimize a specific output, subject to logical constraints and data-driven linear relationships.

• CreateContentBasedRecommender — Generates a customized recommendation engine using a "two-tower" neural network architecture to match users with highly relevant items or resources based on shared characteristics.

Common use cases

• Strategic Planning: Determining the optimal allocation of resources, budget, or personnel to maximize operational throughput or patient outcomes in healthcare.

• Logistics Optimization: Minimizing operational costs or maximizing service coverage by identifying the best distribution strategies under real-world constraints.

• Personalized Delivery: Enhancing user engagement by recommending the most relevant clinical trials, educational content, or intelligence reports based on detailed profiles.

• Decision Support: Automating the identification of the "best-fit" solutions for complex, multi-variable scenarios in epidemiology, finance, or intelligence field operations.