Elli Peterson's TechCrunch

Three years ago, our category management team faced a crisis that would fundamentally reshape how we approached technology infrastructure. We had just completed our most ambitious promotional calendar yet—coordinating trade promotions across 47 retail partners, optimizing shelf space allocation for 230 SKUs, and managing markdown strategies that touched every major channel. The systems buckled under the computational load. Our on-premise servers couldn't handle the real-time demand forecasting models we needed, and our promotional performance analysis reports arrived three days late, rendering them useless for in-flight optimization. That failure taught us our first lesson: in modern CPG operations, infrastructure isn't just a back-office concern—it's the foundation of competitive advantage. The journey that followed transformed not just our technology stack but our entire approach to trade promotion planning and execution. Implementing AI Cloud Infrastructure wasn't s...

Category managers at consumer packaged goods companies orchestrating promotion planning across hundreds of retail partners face a computational challenge that has intensified dramatically over the past five years. A typical promotion planning cycle for a mid-sized CPG brand now involves evaluating millions of potential promotional configurations—combinations of timing, depth, duration, featured SKUs, and retailer-specific mechanics—to identify optimal trade spend allocation. This combinatorial explosion has transformed trade promotion from a primarily strategic discipline into a computational problem requiring infrastructure capable of processing complex optimization algorithms at enterprise scale. The migration of these workloads to cloud-based artificial intelligence platforms represents one of the most significant operational shifts in consumer packaged goods trade management over the past decade. The practical application of AI Cloud Infrastructure in trade promotion workflows add...