How classification enabled a platforming strategy at a global tool manufacturer
A global tool manufacturer partnered with Convergence Data Services to transform fragmented, brand-siloed product data into a structured foundation for enterprise-wide platform engineering.
Executive Summary
From fragmented parts to reusable platforms
A global tool manufacturer, working with Convergence Data Services (CDS), transformed its product development and engineering operations by implementing a classification-driven data strategy that enabled enterprise-wide platforming.
Years of acquisitions and independent brand operations had left the manufacturer with fragmented product data, inconsistent naming conventions, duplicate components, and disconnected engineering processes. What looked like a data management issue had become a barrier to innovation, sourcing efficiency, and cross-brand collaboration.
By standardizing product data through classification and enrichment, CDS helped the manufacturer establish a common engineering language across brands – creating the foundation for reusable modules, standardized architectures, and shared procurement strategies across the organization.
The Challenge
Brand silos. Duplicate parts. Disconnected PLMs.
The company operates one of the world's largest portfolios of industrial and consumer tool brands, spanning professional power tools, hand tools, and storage across many acquired brands.
As the organization expanded through acquisitions, engineering teams across brands evolved independently. Even when components were technically identical, the lack of structured data made reuse difficult. Teams routinely redesigned, re-sourced, or duplicated parts that already existed elsewhere.
△ Operational complexity
- Duplicate components across brands
- Inconsistent naming conventions & specifications
- Separate PLM environments and workflows
- Limited visibility into equivalent parts
- Redundant engineering and sourcing decisions
- Inconsistent procurement practices
The CDS Solution
A classification and enrichment strategy built for scale
CDS combined software, data services, governance frameworks, and operational workflows to create a scalable foundation for platform engineering – with a hybrid operating model that let the manufacturer's teams progressively take ownership of the data factory.
Attribute-driven classification
Standardized models across parts and products.
Centralized taxonomy
One governed source of part data across brands.
Enrichment workflows
Higher fill rates, consistent specifications.
Duplicate analytics
Clustering to surface hidden redundancy.
Governance & approvals
Controlled new-part creation at scale.
PLM integration
Connected to downstream systems and tools.
Classification in action
Hidden duplication, made visible
Standardized attributes let engineering and procurement teams finally compare parts across brands – surfacing rationalization opportunities that had been invisible for years.
Capacitors
700 analyzedScrews
1,100 analyzedBearings
– analyzedFrom parts to platforms
A cultural shift, not just a data project
Instead of developing products independently within brand silos, engineering teams could now reuse modules, standardize architectures, and align decisions across the enterprise.
- Reuse predefined modules across products
- Standardize motors, fasteners, purchased components
- Align engineering decisions across brands
- Reduce redundant design and sourcing activities
- Accelerate new product introduction cycles
“Modules are where the money's at.”
– Project stakeholder, global tool manufacturerBusiness Impact
Measurable outcomes across the enterprise
Cost savings & rationalization
$2M in savings opportunities identified, with ~$1M expected net of implementation costs, and $150K in immediate savings already underway through supplier consolidation, volume leverage, and standardized parts.
Accelerated product development
Reusable modules and shared architectures enabled parallel product launches while reducing duplicated engineering effort.
Improved data quality
Higher attribute fill rates and classification quality unlocked real-time duplicate detection, sourcing visibility, and more accurate cost modeling.
Enterprise adoption
The platform scaled from 198 approved parts to nearly 12,000 – with approximately 400 users actively engaging across brands.
Why this matters
Classification is no longer a data exercise. It's a strategic capability.
The manufacturer demonstrated that structured, comparable, governed product data is the foundation for platform engineering, cross-brand collaboration, shared sourcing, and faster innovation. The result wasn't cleaner data – it was a structural shift in how products are designed, sourced, governed, and delivered.
Could your product data unlock the same shift?
Request a discovery session and we'll walk you through what a classification-led platforming strategy could look like for your portfolio.