Attribution

Case Study: Redefining Product Data Attribution with Harmonya

Feature Image
Harmonya Customer
Leading Grocery Retailer
Non-Informative Labels
71% Fewer
Product Categorization
22% Better
New Attributes
14
TOC
Table of Contents

The Challenge

A leading retailer faced fragmented product data with non-informative labels across key attributes like shopper demographics and product categories. These limitations hindered effective customer segmentation, trend identification, and data-driven decision-making for optimizing product performance. The retailer’s existing frameworks were also too rigid, failing to adapt to evolving market demands.

The Approach

The retailer partnered with Harmonya, utilizing its AI-powered Attribution Management Platform to scale and enrich product data. The solution included:

• Eliminating non-informative labels to enhance data accuracy and usability

• Increasing attribute granularity for improved segmentation and trend analysis

• Identifying untapped opportunities through new, emerging product attributes

• Fully automating the attribution process

With Harmonya’s contextual AI processing, the retailer moved beyond static datasets, gaining dynamic insights tied directly to real-world sales and consumer behavior.

Key Results

1. 71% Reduction in Non-Informative Labels

Harmonya’s advanced AI-modeling refined shopper demographic attributes, enabling more precise age-group segmentation and trend analysis.

2. 22% Improvement in Product Categorization

Enhanced categorization in cuisine-related attributes redefined how products were grouped and analyzed.

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

As new products are identified, Harmonya automatically applied full attribution to the retailer's schema

The Impact

Harmonya’s solution enabled the retailer to:

Make Sharper Strategic Decisions: Access granular, accurate data insights tied directly to product performance.

Adapt Quickly to Market Shifts: Leverage real-time enriched data to stay agile in a dynamic market.

Uncover Actionable Growth Insights: Discover new product trends and create innovative strategies for assortment optimization.

Conclusion

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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