How the manufacturer unified enterprise product information across multiple acquisitions, reduced acquisition onboarding from approximately nine months to just twelve days, and built a scalable foundation for digital commerce with Convergence PIM.
Customer Overview
a leading HVAC manufacturer is one of the world's largest manufacturers of heating, ventilation, air conditioning and refrigeration equipment, serving residential, commercial and applied markets through a broad network of distributors and dealers.
Much of that scale has come through acquisition. Each new brand brought a valuable product portfolio, and with it a separate way of describing products: different taxonomies, different attribute names, different units of measure and overlapping catalogs.
To keep growing without slowing down, the manufacturer needed a product information foundation that could absorb an acquisition's data quickly, standardize it against an HVAC-specific model, and publish it confidently to digital and dealer channels.
Why It Matters
When acquisition data takes months to standardize, the business case for the acquisition waits with it.
Business Challenges
Onboarding a newly acquired catalog was a manual, months-long effort before a single product could be published with confidence.
Every acquired brand arrived with its own classification model.
The same specification was captured differently across brands.
Overlapping catalogs created thousands of near-identical items.
Without shared rules, data standards drifted brand by brand.
No single view of what products existed across the portfolio.
Bringing an acquisition's data into the catalog took months.
Older tooling could not scale to HVAC-specific data models.
Shoppers could not browse or filter by meaningful attributes.
There was no reliable way to score completeness or accuracy.
The Solution
Convergence Data combined an HVAC industry data model, AI-assisted match and merge, enrichment and relationship data into a repeatable onboarding process for every acquisition.
Convergence Data applied a purpose-built HVAC data model so every brand, unit and component is classified against the same industry taxonomy from day one.
AI-assisted match and merge compares incoming catalogs against the master record set, eliminating duplicates and standardizing attributes before anything enters the PIM. Acquisition onboarding fell from roughly nine months to just twelve days.
The Convergence Data Factory enriches attribute value, normalizes and validates product information at scale. Richer, comparable specifications gave customers confidence and made products far easier to discover.
Structured relationships connect units to replacement parts, compatible accessories, recommended upgrades, documentation and digital assets, turning clean data into commercial opportunity.
Business Results
"Acquisitions only create value when the product data behind them is standardized, governed and ready to sell."Jeremy GrubmanVice President, Strategy & Operations
Whether you are absorbing an acquisition or standardizing an existing catalog, a governed PIM foundation shortens the path from product data to revenue.