How Harmonya Turns Product Data Into Insights

Harmonya collects, standardizes, and enriches product content across retailers, then translates consumer language into clear signals about what drives demand.

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The backbone of our consumer-centric product language

Harmonya brings structure to fragmented product data. We collect public product content from listings, ratings and reviews, forums, and other open sources.

That content is normalized into a consistent product language and linked to real-world performance data, so teams can understand how consumers describe products and how those descriptions connect to results.

How we Transform Raw content to real decisions

Gather

Harmonya continuously collects public product content from more than 300 retail and ecommerce sites, including product listings, ratings and reviews, and other supporting product metadata.

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Extract

Harmonya identifies and standardizes attributes across more than 20,000 product tags, including flavors, claims, textures, and benefits.

Each tag is applied consistently across products, creating a shared language that reflects how consumers actually describe what they buy.

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Harmonize

Harmonya matches identical products across retailers, even when identifiers, naming conventions, and available data differ.

This creates a unified view of each product across channels, ensuring analysis is based on the same item everywhere it appears.

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Combine

Harmonya links enriched product data to point-of-sale performance, aligning consumer language and product attributes with sales outcomes.

This makes it possible to see which attributes drive results, and where demand shifts translate into revenue impact.

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Deliver

Harmonya delivers attribution, enrichment, and insights through solutions designed to support different teams and needs.

Each solution draws from the same underlying product and consumer data, so teams can work from a consistent foundation while focusing on the outcomes that matter.

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A shared product language for every team

Every product is described using a unified set of tags based on how shoppers actually talk and shop. This language powers every insight and decision across the platform.

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