Connecting Innovation and Execution: How SAP’s Solution Strategy for PLM Extends the Digital Thread Across the Enterprise
SAP's solution strategy for PLM connects product innovation with execution, addressing fragmented systems and disjointed data across industries. By integrating SAP S/4HANA and cloud-native PLM capabilities, it provides a robust product data foundation, reducing costs and accelerating PLM journeys. SAP's solutions enhance collaboration, streamline processes, and embed AI for faster time-to-market and improved sustainability. Download the Document1 Copyright © 2025
COMMENTARY
▪
Connecting Innovation and Execution:
How SAP’s Solution Strategy for PLM Extends the Digital
Thread Across the Enterprise
Introduction
Across discrete manufacturing and process industries, enterprises are under unrelenting pressure to
innovate faster, design smarter, and operate more sustainably. Many organizations, however, still wrestle
with fragmented systems and disjointed data, where product information is often scattered across
engineering, manufacturing, sourcing, and service domains. This fragmentation slows decision-making,
increases cost, and prevents businesses from achieving a truly connected digital enterprise.1
SAP's solution portfolio features complementary native capabilities within SAP S/4HANA, which
establishes a robust product data foundation, alongside cloud-native PLM capabilities developed on the
SAP Business Technology Platform. This combination provides a platform that evolves with customers,
reduces costs, and accelerates their PLM journey. As illustrated in Figure 1, overall, SAP supports process
1 Research for this paper was partially supported by SAP.
Takeaways
SAP positions its solutions for PLM and the SAP Business Suite as providing the system of record
for product data, ensuring seamless execution across the enterprise. This enables companies to
connect design, supply chain, and service data in one integrated business platform.
SAP’s solutions for PLM create and manage the product data backbone required to drive
efficiencies throughout the supply chain.
SAP’s solutions for PLM address the needs of businesses in both discrete and process industries.
By embedding data, applications, and AI into a digital thread, SAP helps manufacturers accelerate
time to market, reduce risks, and deliver value more quickly from product innovation to operations,
and beyond.
SAP’s solution strategy emphasizes openness and integration, with integrations to leading third-
party PLM and CAD solutions, protecting customer investments while enabling cross-enterprise
collaboration.
SAP’s solution strategy is flexible, scalable, and resilient, positioning it to help enterprises succeed
in today’s fast-changing markets.
COMMENTARY
▪
Connecting Innovation and Execution:
How SAP’s Solution Strategy for PLM Extends the Digital
Thread Across the Enterprise
Introduction
Across discrete manufacturing and process industries, enterprises are under unrelenting pressure to
innovate faster, design smarter, and operate more sustainably. Many organizations, however, still wrestle
with fragmented systems and disjointed data, where product information is often scattered across
engineering, manufacturing, sourcing, and service domains. This fragmentation slows decision-making,
increases cost, and prevents businesses from achieving a truly connected digital enterprise.1
SAP's solution portfolio features complementary native capabilities within SAP S/4HANA, which
establishes a robust product data foundation, alongside cloud-native PLM capabilities developed on the
SAP Business Technology Platform. This combination provides a platform that evolves with customers,
reduces costs, and accelerates their PLM journey. As illustrated in Figure 1, overall, SAP supports process
1 Research for this paper was partially supported by SAP.
Takeaways
SAP positions its solutions for PLM and the SAP Business Suite as providing the system of record
for product data, ensuring seamless execution across the enterprise. This enables companies to
connect design, supply chain, and service data in one integrated business platform.
SAP’s solutions for PLM create and manage the product data backbone required to drive
efficiencies throughout the supply chain.
SAP’s solutions for PLM address the needs of businesses in both discrete and process industries.
By embedding data, applications, and AI into a digital thread, SAP helps manufacturers accelerate
time to market, reduce risks, and deliver value more quickly from product innovation to operations,
and beyond.
SAP’s solution strategy emphasizes openness and integration, with integrations to leading third-
party PLM and CAD solutions, protecting customer investments while enabling cross-enterprise
collaboration.
SAP’s solution strategy is flexible, scalable, and resilient, positioning it to help enterprises succeed
in today’s fast-changing markets.
2
and discrete industries in defining, developing, and delivering innovative and sustainable products
through an integrated collaborative environment powered by artificial intelligence (AI).
By connecting data from design to manufacturing, sourcing, delivery, and service, SAP enables
organizations across many industries to operate from a single source of truth. This commentary explores
how SAP’s solution strategy, anchored in openness, intelligence, and integration, forms a cohesive digital
backbone linking innovation to execution. It reviews how SAP’s solutions for PLM can be used to enable
discrete and process manufacturers to bring products to market faster, reduce risk, and achieve
sustainability at scale.
Figure 1—SAP Business Suite
(Courtesy of SAP)
Industry Challenges: The Innovation Imperative
Today, companies face an innovation paradox. Market pressures demand faster product development,
greater customization, and stronger sustainability performance, yet the very systems intended to support
innovation often slow it down. Additionally, product data, whether in discrete or process industries,
typically exists in silos—spread across CAD tools, paper binders, recipe books, word documents,
spreadsheets, shared drives, PLM instances, and various execution systems. As a result, design teams,
supply chain managers, and service departments rarely share a single authoritative view of product
information. This fragmentation leads to redundant work, errors in handoff, and delays in bringing
products to market.
Compounding the problem, global supply chains have become increasingly distributed and complex.
Companies must coordinate with contract manufacturers, design partners, and suppliers who often use
different software environments. Navigating this ecosystem manually is time-consuming and error-
prone—limiting collaboration and innovation.
Regulatory demands are also increasing—especially around product safety, traceability, and
sustainability. This requires manufacturers to maintain transparency across the entire product lifecycle.
This includes tracking materials, energy usage, and carbon emissions. Without integrated data and
processes, compliance can become a costly and reactive exercise rather than a proactive differentiator.
Competition in both discrete and process industries requires continuous innovation and frequent product
updates. Without seamless integration between engineering and execution, organizations will continue
to struggle to meet customer expectations while maintaining profitability and efficiency.
and discrete industries in defining, developing, and delivering innovative and sustainable products
through an integrated collaborative environment powered by artificial intelligence (AI).
By connecting data from design to manufacturing, sourcing, delivery, and service, SAP enables
organizations across many industries to operate from a single source of truth. This commentary explores
how SAP’s solution strategy, anchored in openness, intelligence, and integration, forms a cohesive digital
backbone linking innovation to execution. It reviews how SAP’s solutions for PLM can be used to enable
discrete and process manufacturers to bring products to market faster, reduce risk, and achieve
sustainability at scale.
Figure 1—SAP Business Suite
(Courtesy of SAP)
Industry Challenges: The Innovation Imperative
Today, companies face an innovation paradox. Market pressures demand faster product development,
greater customization, and stronger sustainability performance, yet the very systems intended to support
innovation often slow it down. Additionally, product data, whether in discrete or process industries,
typically exists in silos—spread across CAD tools, paper binders, recipe books, word documents,
spreadsheets, shared drives, PLM instances, and various execution systems. As a result, design teams,
supply chain managers, and service departments rarely share a single authoritative view of product
information. This fragmentation leads to redundant work, errors in handoff, and delays in bringing
products to market.
Compounding the problem, global supply chains have become increasingly distributed and complex.
Companies must coordinate with contract manufacturers, design partners, and suppliers who often use
different software environments. Navigating this ecosystem manually is time-consuming and error-
prone—limiting collaboration and innovation.
Regulatory demands are also increasing—especially around product safety, traceability, and
sustainability. This requires manufacturers to maintain transparency across the entire product lifecycle.
This includes tracking materials, energy usage, and carbon emissions. Without integrated data and
processes, compliance can become a costly and reactive exercise rather than a proactive differentiator.
Competition in both discrete and process industries requires continuous innovation and frequent product
updates. Without seamless integration between engineering and execution, organizations will continue
to struggle to meet customer expectations while maintaining profitability and efficiency.
3
These challenges make clear that success now depends on establishing a product data backbone—a
connected, intelligent foundation that links all functions and partners across the value chain.
Best Practices: The Path to PLM Excellence
CIMdata’s experience indicates that top-performing organizations achieve PLM excellence by focusing
on three core capabilities: a unified digital thread, deep collaboration, and closed-loop integration with
the enterprise.
The digital thread, enabled by a PLM platform, provides a continuous flow of product data from concept
and design through manufacturing, logistics, and service. It ensures every stakeholder—internal and
external—works from the same current and validated data.
Effective PLM strategies and enabling solutions foster collaboration across the extended enterprise. This
means enabling secure, role-based access to product data for design partners, suppliers, and customers.
Rather than relying on email exchanges or manual uploads, collaboration becomes embedded within an
enterprise’s digital platform.
A third hallmark of maturity is open integration. Most organizations use multiple CAD and product data
management (PDM) solutions across different business units or product lines. Instead of forcing
standardization, the best solutions connect these heterogeneous environments to a common execution
layer—ensuring interoperability while protecting existing investments.
In process industries, the best PLM practice includes capabilities such as specification management,
formulation development, recipe management, and compliance tracking, all of which must connect
directly to sourcing and production.
The most advanced companies close the loop between product and business data, turning product
lifecycle information into actionable insights for continuous improvement. This is increasingly being
achieved through embedded analytics and AI—areas where SAP is making significant investments.
SAP’s Solution: Integrated Innovation for the Digital Enterprise
SAP’s solutions for PLM deliver on these best practices through a holistic, enterprise-level approach that
combines integration, intelligence, and openness. Rooted in customer choice, this approach enables
organizations to manage product data directly in SAP or seamlessly bring it in from other systems,
ensuring the SAP Business Suite (Figure 1) drives consistent efficiency across the enterprise, as shown in
Figure 2.
The SAP Business Suite as the System of Record
At the center of this strategy is the SAP Business Suite, which serves as the system of record for product
data and work processes. With PLM capabilities embedded natively in the suite, SAP provides engineering,
supply chain, manufacturing, and service operations with a unified, authoritative view of product
information. This clean digital core minimizes redundancy, speeds decision-making and collaboration,
and provides seamless end-to-end traceability across the lifecycle.
These challenges make clear that success now depends on establishing a product data backbone—a
connected, intelligent foundation that links all functions and partners across the value chain.
Best Practices: The Path to PLM Excellence
CIMdata’s experience indicates that top-performing organizations achieve PLM excellence by focusing
on three core capabilities: a unified digital thread, deep collaboration, and closed-loop integration with
the enterprise.
The digital thread, enabled by a PLM platform, provides a continuous flow of product data from concept
and design through manufacturing, logistics, and service. It ensures every stakeholder—internal and
external—works from the same current and validated data.
Effective PLM strategies and enabling solutions foster collaboration across the extended enterprise. This
means enabling secure, role-based access to product data for design partners, suppliers, and customers.
Rather than relying on email exchanges or manual uploads, collaboration becomes embedded within an
enterprise’s digital platform.
A third hallmark of maturity is open integration. Most organizations use multiple CAD and product data
management (PDM) solutions across different business units or product lines. Instead of forcing
standardization, the best solutions connect these heterogeneous environments to a common execution
layer—ensuring interoperability while protecting existing investments.
In process industries, the best PLM practice includes capabilities such as specification management,
formulation development, recipe management, and compliance tracking, all of which must connect
directly to sourcing and production.
The most advanced companies close the loop between product and business data, turning product
lifecycle information into actionable insights for continuous improvement. This is increasingly being
achieved through embedded analytics and AI—areas where SAP is making significant investments.
SAP’s Solution: Integrated Innovation for the Digital Enterprise
SAP’s solutions for PLM deliver on these best practices through a holistic, enterprise-level approach that
combines integration, intelligence, and openness. Rooted in customer choice, this approach enables
organizations to manage product data directly in SAP or seamlessly bring it in from other systems,
ensuring the SAP Business Suite (Figure 1) drives consistent efficiency across the enterprise, as shown in
Figure 2.
The SAP Business Suite as the System of Record
At the center of this strategy is the SAP Business Suite, which serves as the system of record for product
data and work processes. With PLM capabilities embedded natively in the suite, SAP provides engineering,
supply chain, manufacturing, and service operations with a unified, authoritative view of product
information. This clean digital core minimizes redundancy, speeds decision-making and collaboration,
and provides seamless end-to-end traceability across the lifecycle.
4
Figure 2—SAP solutions for Product Lifecycle Management
(Courtesy of SAP)
Product information flows seamlessly from design to execution, enabling enterprises to align new product
introduction processes with sourcing, logistics, and service. The result is a more agile organization,
capable of adapting quickly to customer demand, regulatory shifts, and sustainability goals.
Solutions for Discrete Industries
In discrete manufacturing industries—such as automotive, aerospace, industrial machinery, and high
tech—SAP’s capabilities for PLM empower engineering and production teams to work from the same
foundation of trusted data.
SAP supports secure document management, product structure control, and visualization of CAD models.
It integrates design collaboration directly into sourcing and manufacturing, enabling product personnel
and suppliers to participate earlier in the design cycle. This early involvement reduces costs and shortens
time-to-market.
SAP’s integrated change management processes ensure that every revision is traceable, reducing the risk
of manufacturing and supplier errors, as well as ensuring compliance. The seamless handover from
engineering to manufacturing and the supply chain keeps operations aligned with their design intent,
while visualization tools enhance communication across the enterprise.
Additionally, SAP’s solutions for PLM for discrete industries help companies realize a clean digital thread,
ensuring product definitions evolve consistently from concept through production and service.
Solutions for Process Industries
SAP also serves organizations in process industry sectors (e.g., chemicals, food and beverage, consumer
products, and pharmaceuticals). These industries require robust governance of specifications, ingredients,
formulations, and recipes—domains in which SAP offers mature and integrated functionality.
SAP’s solutions for PLM in process industries provide specification management, formulation and recipe
management, and handover to manufacturing functionality. By connecting research and development
(R&D), sourcing, and manufacturing through a unified data model, companies can scale new formulations
faster and more accurately. This integration ensures that recipe definitions approved in development can
flow directly to production within the SAP Business Suite. The outcome is faster commercialization, fewer
errors in scale-up, and stronger quality assurance. At the same time, built-in collaboration features allow
global teams to share data securely, reducing duplication and improving compliance with international
regulatory standards. These capabilities are important as companies balance innovation speed with
sustainability and consumer safety expectations.
Figure 2—SAP solutions for Product Lifecycle Management
(Courtesy of SAP)
Product information flows seamlessly from design to execution, enabling enterprises to align new product
introduction processes with sourcing, logistics, and service. The result is a more agile organization,
capable of adapting quickly to customer demand, regulatory shifts, and sustainability goals.
Solutions for Discrete Industries
In discrete manufacturing industries—such as automotive, aerospace, industrial machinery, and high
tech—SAP’s capabilities for PLM empower engineering and production teams to work from the same
foundation of trusted data.
SAP supports secure document management, product structure control, and visualization of CAD models.
It integrates design collaboration directly into sourcing and manufacturing, enabling product personnel
and suppliers to participate earlier in the design cycle. This early involvement reduces costs and shortens
time-to-market.
SAP’s integrated change management processes ensure that every revision is traceable, reducing the risk
of manufacturing and supplier errors, as well as ensuring compliance. The seamless handover from
engineering to manufacturing and the supply chain keeps operations aligned with their design intent,
while visualization tools enhance communication across the enterprise.
Additionally, SAP’s solutions for PLM for discrete industries help companies realize a clean digital thread,
ensuring product definitions evolve consistently from concept through production and service.
Solutions for Process Industries
SAP also serves organizations in process industry sectors (e.g., chemicals, food and beverage, consumer
products, and pharmaceuticals). These industries require robust governance of specifications, ingredients,
formulations, and recipes—domains in which SAP offers mature and integrated functionality.
SAP’s solutions for PLM in process industries provide specification management, formulation and recipe
management, and handover to manufacturing functionality. By connecting research and development
(R&D), sourcing, and manufacturing through a unified data model, companies can scale new formulations
faster and more accurately. This integration ensures that recipe definitions approved in development can
flow directly to production within the SAP Business Suite. The outcome is faster commercialization, fewer
errors in scale-up, and stronger quality assurance. At the same time, built-in collaboration features allow
global teams to share data securely, reducing duplication and improving compliance with international
regulatory standards. These capabilities are important as companies balance innovation speed with
sustainability and consumer safety expectations.
5
Integration with Third-Party PLM Solutions
SAP also understands that many organizations in discrete manufacturing depend on specialized
engineering or PLM systems. Its external integration approach is therefore centered on these discrete-
product workflows, ensuring strong connectivity between CAD, PLM, and SAP’s digital core. Instead of
requiring platform consolidation, SAP supports open integration so manufacturers can keep their existing
tools. Rather than forcing migration, SAP emphasizes openness and integration.
Technical adapters connect SAP Business Suite with leading third-party PLM environments—including
Siemens Teamcenter, PTC Windchill, Dassault Systèmes 3DEXPERIENCE platform, and Autodesk Vault.
Through these integrations, product data created in external systems flows directly into SAP’s business
environment, streamlining design-to-operate processes. This approach provides several key advantages.
Customers can preserve prior PLM investments, accelerate time-to-value through standard connectors,
and reduce the risk associated with custom integrations. It also ensures future-proof interoperability as
both SAP and partner solutions evolve.
By linking diverse PLM tools into a unified enterprise backbone, SAP enables a complete digital thread
that spans design ecosystems and operational systems alike.
Artificial Intelligence and Automation
SAP embeds AI across its solutions for PLM to accelerate product development and reduce time-to-
market. Joule, SAP’s generative AI (genAI) assistant, delivers contextual insights directly within
applications. It enables users to retrieve product and process information efficiently, enhances the
effectiveness of documentation, and minimizes the time required to navigate intricate systems. In parallel,
intelligent automation simplifies engineering processes, such as tagging master data to 3D visualization
objects, while streamlining repetitive tasks and enabling employees to focus on higher-value work.
Additional AI capabilities are planned, including automated BOM and change-impact analysis, AI-assisted
requirements validation, proactive data-quality detection, and intelligent recommendations that guide
users through complex PLM and ERP workflows. These capabilities expand the value of Joule and lay the
foundation for a broader portfolio of embedded AI services across the SAP Business Suite.
Together, Joule’s genAI capabilities, including its Agents and Assistants, extend SAP’s solutions for PLM—
offering measurable productivity improvements, faster innovation cycles, and better decision-making
across the entire product lifecycle.
Conclusion
SAP’s solution strategy represents a comprehensive and forward-looking approach to connecting product
and process innovation with execution. By positioning the SAP Business Suite as the system of record for
product and process data, SAP provides the unified foundation needed to synchronize design, sourcing,
manufacturing, and service within a single source of truth. This product data backbone enhances visibility,
collaboration, and efficiency across global operations.
SAP’s solutions for PLM serve both discrete and process industries, enabling companies to manage
complex designs, recipes, and specifications with equal rigor. In discrete industry sectors, SAP integrates
CAD data, BOMs, and change management directly into execution systems. In process manufacturing,
they streamline recipe formulation and specification control, ensuring compliance and accelerating
commercialization. These solutions support end-to-end product lifecycle management across diverse
business environments.
Integration with Third-Party PLM Solutions
SAP also understands that many organizations in discrete manufacturing depend on specialized
engineering or PLM systems. Its external integration approach is therefore centered on these discrete-
product workflows, ensuring strong connectivity between CAD, PLM, and SAP’s digital core. Instead of
requiring platform consolidation, SAP supports open integration so manufacturers can keep their existing
tools. Rather than forcing migration, SAP emphasizes openness and integration.
Technical adapters connect SAP Business Suite with leading third-party PLM environments—including
Siemens Teamcenter, PTC Windchill, Dassault Systèmes 3DEXPERIENCE platform, and Autodesk Vault.
Through these integrations, product data created in external systems flows directly into SAP’s business
environment, streamlining design-to-operate processes. This approach provides several key advantages.
Customers can preserve prior PLM investments, accelerate time-to-value through standard connectors,
and reduce the risk associated with custom integrations. It also ensures future-proof interoperability as
both SAP and partner solutions evolve.
By linking diverse PLM tools into a unified enterprise backbone, SAP enables a complete digital thread
that spans design ecosystems and operational systems alike.
Artificial Intelligence and Automation
SAP embeds AI across its solutions for PLM to accelerate product development and reduce time-to-
market. Joule, SAP’s generative AI (genAI) assistant, delivers contextual insights directly within
applications. It enables users to retrieve product and process information efficiently, enhances the
effectiveness of documentation, and minimizes the time required to navigate intricate systems. In parallel,
intelligent automation simplifies engineering processes, such as tagging master data to 3D visualization
objects, while streamlining repetitive tasks and enabling employees to focus on higher-value work.
Additional AI capabilities are planned, including automated BOM and change-impact analysis, AI-assisted
requirements validation, proactive data-quality detection, and intelligent recommendations that guide
users through complex PLM and ERP workflows. These capabilities expand the value of Joule and lay the
foundation for a broader portfolio of embedded AI services across the SAP Business Suite.
Together, Joule’s genAI capabilities, including its Agents and Assistants, extend SAP’s solutions for PLM—
offering measurable productivity improvements, faster innovation cycles, and better decision-making
across the entire product lifecycle.
Conclusion
SAP’s solution strategy represents a comprehensive and forward-looking approach to connecting product
and process innovation with execution. By positioning the SAP Business Suite as the system of record for
product and process data, SAP provides the unified foundation needed to synchronize design, sourcing,
manufacturing, and service within a single source of truth. This product data backbone enhances visibility,
collaboration, and efficiency across global operations.
SAP’s solutions for PLM serve both discrete and process industries, enabling companies to manage
complex designs, recipes, and specifications with equal rigor. In discrete industry sectors, SAP integrates
CAD data, BOMs, and change management directly into execution systems. In process manufacturing,
they streamline recipe formulation and specification control, ensuring compliance and accelerating
commercialization. These solutions support end-to-end product lifecycle management across diverse
business environments.