The gap between ambition and execution is widening across the sector. For CPG companies, the "idea to market" process is a primary target, yet only 11% have successfully scaled AI in this critical area. Retailers face a similar bottleneck; nearly 46% consider assortment optimization a top priority, but just 34% have managed to deploy AI at scale. This inertia leaves roughly 75% of CPG firms lingering in exploration mode, unable to translate initial pilot data into tangible business results.
CPG and Retail Giants Struggle to Move AI Beyond the Pilot Phase
While nearly half of consumer goods and retail executives identify artificial intelligence as a strategic priority for driving demand, the actual implementation remains stuck in the testing phase. A joint report from Boston Consulting Group and The Consumer Goods Forum reveals that most companies are failing to scale AI where it matters most.
Financial discipline remains a significant hurdle. More than half of the surveyed companies do not formally track the return on investment for their AI projects, often because early pilot economics fail to materialize into full-scale performance. According to Nicolas De Bellefonds, BCG’s global AI lead, the winners in this space are those who abandon the experimental mindset in favor of high-ambition, focused priorities. Organizations that successfully navigate this shift can unlock gains of up to 350 basis points in cumulative EBIT. As the honeymoon phase for corporate AI ends, the divide between companies that treat technology as a direct profit lever and those that view it as a mere experiment is set to define the market for the next two years.
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