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.
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