The reason an item earns its space.
Demand in the category, sized at the attribute. Two listings holding space on one attribute. Demand with nothing on shelf against it.
A range decided on what the category is asking for.
Assortment optimization
Sparkling water, one mass retailer
Illustrative range read
Demand in the category
Your range covers
Nothing on shelf against it
Illustrative. Invented range, invented category read.
What a planogram does not carry.
A planogram records what is on shelf, in what facing and in what space. Nothing in it records what any of it is bought for.
Range decisions are then made on what the shelf already contains, and demand the shelf does not carry is recorded nowhere in it.
Where it comes from
One product, resolved at the UPC, carrying the sales behind it.
Across millions of products, retailer listings and shopper reviews are resolved to one UPC, and the sales sit against it.
Refreshed on a schedule agreed with you, and applied the same way to every product in the category.
What the product carries.
Demand at the attribute
What shoppers in the category are buying on, with the sales behind each one. Gut health, single serve.
Weight of the range
How many items in the set sit on the same attribute, and how much space they hold.
Unanswered demand
Attributes with sales in the category and no item in your range against them. Spicy plant based, high fiber breakfast.
What else the attributes answer.
What a gap in the assortment is worth before you decide to fill it.
Demand and whitespace sizing
What earns a competing item the facings you want.
Competitive benchmarking
Which attributes the category has given more space to since the last reset.
Category trends and momentum
How a demand space gets defined over your catalog, and what sorts an item into it.
Demand spaces and thresholds
A leading global snacks manufacturer, with over $1B in sales at one mass retailer, mapped a multi-brand portfolio against 14 demand spaces. The work named $300M+ in revenue opportunity across that portfolio, including a $130M+ gap in one demand space worth $1.7B.
Three ways to take delivery.
A feed into your own systems
Core, Contextual and Custom attributes for the categories you choose, on a schedule agreed with you.
Insights Platform
The same attributes, read on screen against your own sales.
Work our team runs
You name the categories and the retailer, and we size the range against demand.
What our customers are saying
“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
.svg)
"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
.svg)
"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
.svg)
"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
See What Shopper-Led
Product Data Can Do
Go from messy, generic product data to precise, shopper-led decisions. Learn how Harmonya structures, enriches, and analyzes data to drive action.
