A leading U.S. retailer struggled with fragmented product data and vague labels across key attributes affecting shopper segmentation and category classification. This limited their ability to spot trends, tailor assortments, and make confident decisions about product performance. Their internal attribution methods were also rigid and slow to evolve with changing market needs.
The retailer partnered with Harmonya, utilizing its AI-powered Attribution Management Platform to improve data structure, relavance, and speed. The solution included:
With Harmonya’s contextual AI processing, the retailer moved beyond static datasets, gaining dynamic insights tied directly to real-world sales and consumer behavior.
1. 71% Reduction in Non-Informative Labels
Harmonya’s advanced AI-modeling improved specificity in how shopper groups and product traits were defined.
2. 22% Increase in Category Precision
Products were reclassified using emerging behavioral and contextual cues, not just legacy taxonomy.
3. Identification of 14 New Product Attributes
New flavor profiles and emerging consumer preferences were uncovered, presenting growth opportunities.
4. 72-Hour Turnaround to Attribute New Products
New SKUs were attributed within three days of detection, enabling faster insights and action.
The retailer gained:
By reducing data noise, surfacing actionable insights, and aligning product attributes with real-world performance, Harmonya’s Attribution Management Platform transformed the retailer’s product data challenges into opportunities. The retailer achieved precision and agility in product data management, securing a competitive edge in a fast-paced marketplace.
Learn more about Harmonya’s Attribution Management Platform here.
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