Learning from Failed Implementations to Ensure Your Success AI-powered trade promotion can transform promotional effectiveness—or it can become an expensive failed project that reinforces skepticism about AI in your organization. After observing numerous implementations across consumer packaged goods companies, clear patterns emerge around what causes failures and how to avoid them. This guide distills those lessons into actionable warnings. The gap between AI-Powered Trade Promotion success stories and quiet failures often comes down to execution details, not the underlying technology. Companies like Unilever succeed not because they have better AI algorithms, but because they avoid common pitfalls that derail implementations at other organizations. Mistake #1: Deploying AI Without Fixing Data Quality First This is the most common—and most fatal—mistake. Teams get excited about AI capabilities and rush to deploy before ensuring data readiness.…