
Using enriched attributes to refine planograms and better reflect shopper behavior
The Coca-Cola Company
One of the most recognized beverage brands in the world, Coca-Cola continues to lead in innovation across product development, marketing, and retail strategy.
Sports & Isotonic Beverages
A functional category where product choices are increasingly driven by health-related attributes—like sweetener type, electrolyte source, and functional claims. In a category where health and function drive shopper decisions, Coca-Cola knew that simply grouping products by brand or size was no longer enough.
Coca-Cola’s team wanted to go beyond traditional brand or package-based segmentation. They saw a growing disconnect between how shoppers navigate the aisle and how planograms were built—missing emerging consumer preferences at the attribute level.
In collaboration with Harmonya, Coca-Cola explored a new approach using AI-powered product enrichment to better understand ingredient-level details across their assortment. The team used Harmonya’s enriched file and attribute tags to:
While early in implementation, Coca-Cola has already seen clear value in using enriched data to improve how they think about shelf layout:
View a webinar featuring this case study here: https://harmonya.com/blog/webinar-recap-how-coca-cola-is-rethinking-shelf-strategies-using-enriched-product-data
Coca-Cola is now exploring how this approach can scale—testing localized use cases, store-specific assortment planning, and application in additional beverage segments. The framework built with Harmonya has laid the foundation for smarter, more shopper-centric decisions.
Schedule a personalized demo to see how Harmonya enriches product data, surfaces high-growth attributes, and maps shopper language back to the SKU level. We’ll walk through relevant category workflows, show how teams move from data cleanup to action, and answer questions about fit. Want proof first? Watch the Harmonya Enrichment Overview or explore Case Studies before booking.