Production-grade models that drive real commercial and operational decisions.
Deep dives into the methodology and applications of modern analytics
A comprehensive guide to deploying production-ready Marketing Mix Models—covering data ingestion, model training, cloud deployment, and real-time optimization APIs for budget allocation
Deep dive into gradient boosting trees with quantile regression for robust uncertainty estimation in travel retail forecasting.
Learn how Mixed Integer Programming (MIP) with discretized response curves solves marketing budget allocation problems using branch-and-bound methods.
Systems that help teams make better forecasting, pricing, and allocation decisions.
Demand prediction, capacity planning, and resource allocation under uncertainty.
Attribution, mix modeling, and budget optimization across channels.
Price elasticity, markdown optimization, and revenue management.
AI-assisted analysis, copilots, and decision automation at scale.
Case studies, interactive tools, and frameworks for practitioners