Building a browser-based IBP engine with Claude AI

Alain Matar describes building a browser-based IBP planning engine with 19 planning steps and nine forecast models, designed to support a full S&OP cycle, exception management and planner decision support. He reports deploying it to 35 users and frames AI as the engineering partner rather than the planning decision-maker.

The build demonstrates how domain knowledge can compress prototyping time. Comparisons with enterprise platforms should distinguish calculation features from integration resilience, security, concurrent use, auditability, testing and support.