While predictive analytics tells you what’s likely to happen, prescriptive analytics tells you what to do about it. We develop models that consider constraints, objectives, and trade-offs - delivering actionable recommendations, not just insights. This is the next step in decision automation.

What we can do with it:

• Build optimization models for logistics, scheduling, or pricing.

• Combine predictive models with rule-based decision engines.

• Implement real-time decision support systems.

• Integrate solvers like Gurobi, CPLEX, or OptaPlanner.

• Recommend personalized actions in customer journeys.

• Enable scenario planning with adjustable variables.

• Visualize trade-offs and constraint impacts for stakeholders.

• Automate allocation of resources under constraints.

• Use reinforcement learning for continuous improvement.

• Tie recommendations to business KPIs for impact tracking.