Engineering designs products. Quality ensures they meet specifications. Manufacturing and operations build products. Marketing creates campaigns. Sales commits to delivery dates. Service supports customers in the field.
Each function manages critical product information. But in most manufacturing organizations, that information lives in separate systems that don’t communicate and can operate in a serial nature. The cost of this disconnection compounds daily in ways leadership often doesn’t recognize until examining operational details.
CPO at Propel Software
The Hidden Tax of Fragmentation
Consider what happens when engineering completes a design revision. Quality teams need updated test procedures. Marketing must adjust specifications in customer-facing materials. Sales requires revised delivery estimates. Service needs new support documentation.
In organizations with disconnected systems, each of these updates triggers manual coordination: someone exports data, someone else imports it, teams wait for information, and critical details fall through the cracks.
What does this coordination tax actually look like?
- Email threads requesting current specifications
- Shared folders containing multiple versions of the same file, none clearly marked as authoritative
- Sales asking repeatedly for manufacturing status
- Service discovering product changes only when customers call with questions
This coordination tax isn’t a dramatic failure. It’s the steady accumulation of friction across hundreds of daily transactions.
When manufacturers examine their actual operational costs, the numbers tell a stark story. Breg, a medical device manufacturing customer of Propel’s, discovered this firsthand before consolidating their systems:
- Engineers spent 780 hours annually hunting for product information scattered across 20+ disconnected systems
- Document control specialists invested 600 hours yearly reconciling conflicting data between platforms
- New engineers required 80 hours of training simply to navigate the fragmented landscape
These stats aren’t outliers. They represent normal operating costs when product data lives in silos. Every manufacturer pays this tax. The question is whether leadership recognizes how much it actually costs.
What Product Threads Actually Deliver
A digital product thread connects information across the entire product lifecycle, from initial concept through design, manufacturing, quality validation, commercialization, and field service. The distinction between threads and traditional integration matters more than most organizations realize.
Why integration isn’t the same as connection
Integrated systems transfer data between applications while maintaining separation:
- Marketing receives engineering files through automated handoffs but can’t see design relationships or understand why changes occurred
- Quality gets updated specifications but loses connection to the decisions behind modifications
- Service sees part numbers but can’t link them to specific customer assets or field performance history
Teams have access to data without context, forcing them to reconstruct understanding through manual investigation.
What true product threads enable
True threads eliminate these boundaries by maintaining relationships across domains. When engineering updates a component specification:
- Quality procedures referencing that component adjust automatically
- Marketing materials reflecting those specifications update based on current data, without manual synchronization
- Sales commitments account for actual implementation timelines rather than assumptions
- Service documentation stays synchronized with versions in the field
This connected visibility fundamentally changes how organizations operate. Instead of sequential handoffs where each function waits for the previous step to complete, teams work concurrently with confidence that their information stays current.
How Propel Delivers Unified Product Threads
The gap between integration and genuine threads comes down to architecture. Our Product Value Management (PVM) platform unifies product lifecycle management (PLM), quality management (QMS), and product information management (PIM) operating on shared infrastructure. Unlike point solutions connected through integrations, Propel shares security models, workflow engines, and data structures, not just data transfers, forming what can be described as unified product threads across the entire lifecycle.
What architectural unity actually delivers
This creates advantages that integration approaches can’t replicate:
- Users access multiple functions through consistent interfaces without context switching between different systems
- Workflows span domains naturally rather than requiring complex integration logic that breaks when systems update
- Security permissions apply uniformly across product information regardless of the function managing it
- Reporting sees complete product pictures rather than assembling fragments from multiple sources
How unified platforms transform operations
AMS Technologies, a technology distributor of components, systems and equipment, implemented Propel’s unified PLM and PIM solution to connect its internal product data with external-facing systems. The transformation was dramatic resulting in:
- 500% increase in engineering productivity
- Product setup time dropping to under 1 minute from time-intensive manual processes
- Ability to scale its webshop portfolio with speed and precision
These results came from the coordination overhead that fragmentation created, redirecting engineering time from manual setup to strategic activities.
The Business Impact of Connected Threads
Connected threads accelerate product lifecycles by eliminating coordination overhead, but the benefits extend beyond speed. They change what becomes possible.
Go-to-market velocity
Commercial teams work from current data rather than waiting for engineering handoffs. Organizations using Propel implement product completeness tracking that provides visibility into whether products are truly prepared for market entry, replacing assumptions about readiness with objective assessment.
Results include:
- Marketing campaign launches with specifications that match what manufacturing actually ships
- Sales committing to delivery schedules based on real production status rather than optimistic projections
- Customer materials reflecting actual product capabilities
Quality improvements
Validation tracks actual design state rather than lagging behind changes:
- Specifications update, and test procedures reflect those changes automatically without manual notification cycles
- Field service insights immediately flow back to engineering and quality, rather than through periodic reports
- Organizations catch issues faster and implement corrections before they impact large customer populations
Cost reductions
Wasteful processes get eliminated using Propel’s unified platform:
- Teams stop reconciling conflicting data between systems
- Product managers don’t manually track version relationships across platforms
- Engineers aren’t constantly interrupted answering questions that current data would resolve
- Quality doesn’t waste cycles validating against obsolete requirements
The savings compound because every transaction that required manual coordination now completes automatically.
Revenue acceleration
Commercial operations work accurate information:
- Product launches succeed because materials reflect actual capabilities
- Customer satisfaction improves when service teams access complete product history while resolving issues
- Cross-sell opportunities surface when sales sees what customers actually use rather than what they ordered
These improvements show up in metrics that matter including revenue growth, customer retention, market share gains.
Extending Threads to Customer Assets
Propel’s platform gains additional value when extended to customer assets in the field. Associating serialized assets with specific product revisions enables complete visibility from development through field performance, the closed loop that industry research identified as missing in most implementations.
What IoT-enabled threads make possible
When field issues surface using Propel:
- Service teams see exactly which product revision the customer operates
- They know what components it contains and which design changes have occurred since that unit shipped
- Engineering receives performance data tied directly to specific designs rather than aggregated statistics that obscure important patterns
- Quality teams identify failure modes faster because they can correlate field reports with manufacturing records, supplier data, and design specifications
Savant Systems, a smart home automation leader, extended its digital thread from development through marketing and sales into field support, all on our unified platform. This strategy delivered:
- 74% reduction in time to market
- 35% revenue increase over two years
- 50% reduction in order-entry labor
- Over 1,000 hours saved annually in customer service
When recalls become necessary, organizations using Propel identify affected units immediately and contact customers with specific information about their particular assets. When performance data reveals improvement opportunities, engineering understands exactly which designs need modification and which customers will benefit from updates.
The Path Forward with Unified Platforms
Manufacturers face a clear decision: continue managing fragmented systems with integration workarounds, or adopt unified platforms that deliver genuine product threads.
But this decision carries more weight than efficiency alone. As we look to the future (and the future is now) the connected product thread is the foundation of a company’s AI strategy.
Why unified product data enables impactful AI
The breadth of unified product information enables AI use cases that touch all parts of the business in ways fragmented systems cannot support. Companies that have invested in unified product threads are positioned to take advantage of agentic AI capabilities that require product intelligence.
Questions that agentic AI can answer when operating on connected product data:
- What quality issues are outstanding in this product?
- How have component costs changed over the NPI cycle?
- How could a shortage of component X impact my forecast?
- Which customers have the product revision affected by this?
These questions seem straightforward but answering them requires AI to access and correlate data across engineering, quality, supply chain, manufacturing, sales and service. Fragmented systems can’t deliver these answers because the data doesn’t connect. Unified product threads make this intelligence accessible and actionable.
What Propel enables today
Built on Salesforce, one of the world’s most secure business platforms, Propel is the only cloud-native platform that unifies product definition, quality, and commercialization by combining three software categories that have been historically siloed: PLM, QMS, and PIM.
Propel’s platform spans the complete product lifecycle with the security, scalability, and extensibility enterprises require. Organizations aren’t waiting for future capabilities; they’re implementing unified product threads now and building the solid foundation that makes agentic AI valuable, rather than just fast.
How successful organizations approach this transition
Organizations succeeding with Propel:
- Recognize that product information transcends departmental boundaries
- Invest in platforms rather than accumulating point solutions that seem to individually justify, but collectively create, fragmentation
- Understand that connected product data is the foundation for any meaningful AI or agentic work
The competitive pressure intensifies as product complexity increases, development cycles compress, and customer expectations rise. Organizations operating with disconnected systems find themselves perpetually behind competitors who eliminate those barriers. They will be even further behind as those competitors leverage AI on unified data foundations.
Manufacturers building unified threads with Propel eliminate current coordination costs while positioning themselves to leverage AI capabilities that competitors with fragmented systems simply cannot access. The choice becomes clear when you calculate what disconnection costs today versus what connection enables tomorrow.
The question isn’t whether to connect product data across your organization. It’s whether you’ll build that foundation strategically now or scramble to catch up after competitors establish AI-powered advantages that become difficult to overcome.
About the Author
Eric Schrader is Chief Product Officer of Propel Software. Eric’s experience scaling companies at Agile Software and Coupa Software has been recognized through his inclusion as a Customer Success Fellow at Sapphire Ventures and as a Fellow in Stanford University’s Distinguished Careers Institute.
Ready to eliminate the hidden costs of disconnected product data? Learn more about Propel’s unified platform at www.propelsoftware.com.
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