Identifiers, brand hierarchy, taxonomy, flavor and form, size, packaging and origin. If you hold product data at scale and need it enabled, this is the layer that makes it usable.
To create Core attributes, we read what a product publishes about itself and code it against a maintained catalog.
Titles, descriptions, category paths and whatever structured data a source already carries. The same product arrives in different formats under different identifiers, so the first job is to resolve them to one UPC.
Images carry what the text leaves out. This is where form, net contents and pack count stay right even when a listing abbreviates them or omits them altogether.
Every Core field has a definition and a set of canonical values it can take. Strawberry flavored, made with real strawberries and strawberry burst all record as Strawberry, so the same product reads the same way whichever source it came from.
Core is the layer that makes everything else countable. It matters most to the teams holding product data at scale, and to the reports that have to add up.
You hold product data at scale and need it enabled. Core turns a pile of listings and identifiers into attributed products your own customers can query, in one taxonomy.
The most basic read starts here. Brand, manufacturer, category, pack size and form are what a sales number gets grouped by before anyone asks a harder question.
You fill the PDP fields that site search and shopping agents read, from the same attributes the rest of the business reports on.
Core is what the product is. Contextual is what the market says about it. Custom is what you decide to call it.
Pick the one that fits where the work happens. The attributes underneath are identical.
“The relationship between Coca-Cola and Harmonya has truly felt like a partnership. We treat them as an extension of our team.”
Rylee Rogers
Fmr. Category Sales Advisor
“Before Harmonya, we couldn’t track competitor innovations online effectively. Now we can see how fast they’re scaling, just like we do in brick and mortar.”
Michael Mackezyk
Senior Manager, Data Capabilities
"Harmonya is becoming a powerful unlock across our organization—it's being explored as a cross-functional innovation, brand strategy, and product development tool."
TJ Hanel
Director Omni-Commerce Retail Media Strategy
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"Harmonya enables us to efficiently uncover deeper insights into consumer sentiment and product ingredient preferences, allowing us to identify actionable opportunities to meet shopper needs and enhance category shopability"
Kristina Foreman
Category Analyst
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"Harmonya is elevating and enhancing the way we analyze and tell stories with data. The platform enables us to uncover deeper insights that have measurable impact. The team is collaborative, innovative, and truly invested in our success!"
Savita Kharbas
Senior Director of Category and Consumer Insights
“With Harmonya’s review data, we can quantify what customers are saying and compare which products meet their needs best—not based on what we say, but on what they say.”
Rylee Rogers
Fmr. Category Sales Advisor
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"Working with Harmonya has been a game-changer – keeping us deeply engaged through new product releases while empowering us to turn complex data into clear, actionable insights."
Wendy Fan
Commercial Strategy Manager
“What Harmonya came up with was an AI-powered solution that helped us match 2,000 missing items. That gave us visibility into $1.7 billion in annual sales we were previously blind to.”
Michael Mackezyk
Senior Manager, Data Capabilities
"The Harmonya team has played a vital role in finding insights on texture, flavor, and nutritional content across our competitive set, identifying innovation whitespace, and sparking additional conversations as we develop concepts for our brands."
Bailey Harrison
Senior Associate Brand Manager
Core attributes are the layer everything else is built on. Get them right and the plan, the model and the report downstream all get easier and more accurate.
Build the right mix for every shelf on products that line up across sources.
Thirty minutes on your categories. How the attributes get built, and the questions your team could put to them.
