Elli Peterson's TechCrunch

Trade promotions account for nearly 20% of gross revenue in the beverage industry, yet most category managers struggle to predict which promotional tactics will deliver measurable lift. For every successful trade deal that drives brand velocity and market share growth, there are two or three that barely cover their costs. The difference between promotional planning that generates sustainable Trade Promotion ROI and trade spend that evaporates into the channel often comes down to one factor: the quality of the intelligence driving allocation decisions. Traditional promotional planning relies on historical averages, retailer feedback, and intuition—tools that served the industry well for decades but now leave billions in unrealized revenue on the table. Enter AI-Driven Trade Promotion Optimization , a category of advanced analytics that replaces guesswork with precision. Rather than treating trade promotions as isolated events, these systems analyze millions of data points across past pr...

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...