Coca-Cola is quietly reshaping how its smallest customers restock shelves in Malaysia. Through its Coke Buddy platform, the beverage giant now pushes personalized order suggestions to roughly 39,000 retail outlets. The new “Perfect Basket” feature doesn’t just guess what a shop owner might want; it crunches previous orders, local weather patterns, seasonality, and buying habits from similar businesses. The goal is simple: reduce stockouts and eliminate the guesswork for busy retailers who might otherwise forget to order enough syrup before a heatwave hits.
The results from a recent push are telling. Between January and April 2026, a campaign called “Perfect Basket, Perfect Ride” drew over 4,500 entries from more than 4,000 retailers. During this period, 83% of participating outlets accepted the AI’s recommendations. Coca-Cola claims these stores saw higher revenue growth compared to peers who ignored the suggestions, though they didn’t release specific percentage points or inventory cost savings. This lack of granular data is typical for early-stage B2B AI pilots, where adoption metrics often overshadow hard financial proof.
This isn’t an isolated experiment. Globally, Coca-Cola has connected nearly eight million customers to B2B platforms, with AI-driven suggestions reaching over three million outlets in Latin America alone. Former CEO James Quincey noted that these tools free up sales staff from routine order-taking, letting them focus on account development. In earlier pilots, retailers were over 30% more likely to buy recommended SKUs. A separate demand-prediction project even showed a 7% to 8% sales lift in a three-country test, proving the model works beyond just suggesting popular sodas.
Retailers still hold the final say. They can tweak or reject any suggestion before confirming via app, website, or WhatsApp. This hybrid approach keeps the human relationship intact while leveraging machine learning for efficiency. As logistics costs rise and consumer demand becomes more erratic, expect more FMCG giants to follow this playbook. The real test won’t be whether retailers accept the advice, but whether Coca-Cola can prove that AI-driven restocking actually lowers their own distribution costs over time.