Textron Fastening Systems: From Product Supplier to Full Service Innovator

Enabling a sophisticated Pay-on-Production model in the Fastener industry

This case study demonstrates how component manufacturers can harness services as a strategic lever for growth. Authored by Nick Frank, who led the development of the Textron EMEA Full Service Provider Business, it highlights the practical experience and deep expertise that all Si2 partners bring to their clients. The story shows why collaborating with Si2 can elevate your service capabilities to new heights. Originally based on the 2012, A Service Revolution in Fasteners: The story of two businesses with the same goal but very different strategies  the customer story is as relevant today as when it was written

1. Background / Context

The fastener industry is rarely seen as fertile ground for business model innovation. With its focus on commodity components such as nuts, bolts, and washers, the sector has historically competed on cost, quality, and volume. However, over the last 30 years, the industry has been forced to confront growing customer demands for leaner supply chains, lower total cost of ownership, and greater operational efficiency.

This backdrop led to a service-led transformation in how fasteners are supplied and integrated into production systems—particularly in the automotive sector. One of the most notable examples of this shift occurred at Textron Fastening Systems (TFS) in the early 2000s, when the company was selected by Ford Europe to implement a revolutionary Full Service Provider (FSP) model.

This case study explores how TFS responded to the call for a fixed-price, pay-on-production service—requiring not just new logistics and commercial models, but a fundamental cultural and organizational transformation.

2. Business Challenge

By the late 1990s, European automotive OEMs were under pressure to cut costs, streamline operations, and offload non-core functions. Fasteners, despite accounting for only 1–3% of the material spend, represented 25–30% of the part numbers managed in production. Moreover, they consumed significant overhead in procurement, quality assurance, logistics, and inventory.

At the same time, competitors like INFAST were gaining market share by offering Just-In-Time (JIT) and Vendor Managed Inventory (VMI) solutions. These service-centric models provided simplified supply chains and better cash flow—qualities that appealed directly to purchasing departments.

For TFS, a company deeply rooted in engineering excellence and high-value fastening technology, this was a serious threat. Their traditional model emphasized premium part quality and application engineering—an approach that struggled to compete on pure logistics and cost in an increasingly commoditized market.

The situation came to a head when Ford Europe issued a strategic tender for its Fiesta production lines in the UK and Germany. The company wanted a supplier who could not only provide all fastener components, but also manage the entire value chain—logistics, engineering, inventory, and even design collaboration. Most radically, Ford demanded a fixed cost per vehicle model, effectively converting the entire scope into a pay-on-production contract.

For TFS, this was both an opportunity and a daunting change management challenge.

3. Solution

A New Service Model Rooted in Operational Integration: To meet Ford’s demands, TFS needed to build a radically new business model. The requirements went far beyond traditional account management or technical support. Ford was seeking:

  • One supplier for over 500 fastener part numbers.

  • Complete engineering responsibility throughout the vehicle design lifecycle.

  • Just in time delivery into two assembly plants.

  • Elimination of fixed costs from their supply chain.

  • Payment only upon vehicle production (not on delivery or consumption of parts).

This necessitated not just a strategic pivot but a cultural transformation—one that would test TFS’s organizational agility, internal alignment, and willingness to let go of legacy thinking.

Key Components of the Change

A significant business change of this nature required the coordination of five key activities.  Within what was historically a manufacturing company, gaining buy in and commitment from other parts of the organisation was a significant challenge.

  1. Dedicated Cross-Functional Teams
    TFS formed a multidisciplinary project team to break down internal silos between engineering, manufacturing, sales, and supply chain. This was essential to drive shared accountability for outcomes that spanned traditional departmental boundaries.

  2. Engineering and Design Integration
    For the first time, TFS engineers were embedded within Ford’s vehicle design teams. This required a significant mindset shift—from “selling parts” to “delivering solutions”—as the supplier assumed responsibility for part selection, sourcing, and prototyping. How much responsibility to take and where to draw the line was a key factor in ensuring a profitable programme.

  3. Commercial Innovation
    The fixed cost per vehicle model forced TFS to adopt a longer-term, value-based pricing strategy. This meant assuming greater commercial risk and investing upfront in engineering and logistics infrastructure with payback tied to vehicle volumes. How to manage these new ways of thinking required Finance professionals to take a wider more holistic view of risk, and where margin is created.

  4. Logistics & IT Infrastructure
    TFS developed advanced inventory management and global logistics capabilities to support high-volume, high-precision operations. This required integrating their systems with Ford’s planning environment and managing delivery performance across borders in real time. Understanding that essentially this was a digital business where knowledge and transparency in the supply chain was probably more important than the products themselves required a huge shift in cultural thinking.

  5. Internal Communication and Leadership Alignment
    Perhaps the most significant challenge was aligning internal stakeholders around a common goal. Manufacturing functions, used to product-centric KPIs, needed to understand and support service-led objectives. This often meant redefining success metrics and rethinking organizational roles.

4. Outcomes Achieved

Despite the scale and complexity of the transformation, the initiative delivered a number of long-lasting benefits—both to Ford and to TFS.

For Ford Europe

  • Total Cost Reduction: Through engineering-driven part consolidation and supply chain optimization, Ford reduced both material and overhead costs.

  • Operational Efficiency: JIT logistics improved plant efficiency and reduced inventory holding.

  • Strategic Flexibility: The fixed-price-per-vehicle model helped Ford reduce internal fixed costs and gain better forecasting accuracy for fastener spend.

For Textron Fastening Systems

  • Revenue Growth: The manufacturing content of the Ford FSP program grew from 8% to over 50%, generating €8.4 million annually in incremental sales.

  • Margin Stability: Long-term contracts linked to vehicle production volumes created recurring, predictable revenue streams.

  • Customer Integration: TFS became more than a supplier; it became a strategic partner with embedded engineering and logistics roles within the OEM.

For the Industry

  • Model Replication: The FSP concept was soon adopted by other OEMs such as BMW, Jaguar Land Rover, and Volvo. Competitors like FACIL were formed specifically to pursue similar service-led models, and fastener services became a recognized segment of the automotive value chain.

5. Conclusions

The success of the Textron-Ford FSP program offers several key insights into what it takes to drive change in a traditional manufacturing organization:

i. Change Requires Structural and Cultural Alignment

Building a service business within a manufacturing environment isn’t just about adding capabilities—it’s about aligning structure, culture, and incentives to new outcomes. TFS was able to execute because it temporarily created a separate service-focused team with the autonomy to innovate. Over time, however, these capabilities were reabsorbed into the broader manufacturing P&L, which limited scalability.

ii. Focus Enables Execution

The clarity and focus of the FSP initiative helped TFS overcome organizational inertia. By concentrating resources and leadership attention on a single, high-impact customer initiative, the company could create a blueprint for what a service-led fastener business could look like.

iii. Co-Creation Strengthens Innovation

Ford’s willingness to share risk and collaborate deeply was vital. The pay-on-production model was untested and carried significant risk for both parties. Joint problem solving and transparency enabled the partnership to survive initial failures (such as pricing model adjustments) and evolve toward lasting value.

iv. Margins Require Trade-offs

Unlike INFAST—who had already divested manufacturing to focus purely on services—TFS had to constantly negotiate trade-offs between service investment and product margins. Embedding service KPIs into decision-making systems proved to be a long-term challenge.

6. Lessons for Industrial Firms Undergoing Servitization

This case study highlights that transforming into a service-driven enterprise is as much about managing change as it is about implementing strategy. The journey required:

  • Letting go of legacy product-driven assumptions.

  • Investing in cross-functional capabilities.

  • Redesigning commercial models.

  • Building deep, strategic relationships with customers.

While the initiative ultimately delivered measurable returns, it also exposed the limitations of embedding service transformation within traditional P&Ls. Competitors who structured themselves from the start as standalone service businesses, were better positioned for scalable growth.

For industrial firms looking to embark on similar journeys, this case underscores the importance of leadership alignment, team focus, and organizational design as critical enablers of service innovation.

The transformation of Textron Fastening Systems from a product-centric manufacturer to a service-integrated partner in Ford’s supply chain was not just a story of technical innovation—it was a story of deep organizational change. It required questioning assumptions, rethinking roles, and building a new business logic.

The outcome? A more resilient, customer-aligned, and strategically integrated business that helped set the standard for how service transformation can reshape entire industry dynamics—even in something as seemingly simple as nuts and bolts.

THE CAUTIONARY TALE

Like many case studies, this story illustrates the successful launch of a €25 million euroepan service business within the context of a large global multinational. However, if the momentum for change is not sustained, the business will ultimately fail—as Textron Fastening Systems (TFS) eventually did. In fact, there is more to learn from this part of the story. On reflection, the initial success stemmed from using many of the tools we now recommend at Si2:

  • Organisational Design: A focused team with its own P&L, co-located with the customer.

  • Project Management: Application of Agile principles, emphasizing value delivery and using milestones to manage risk.

  • Customer Co-Creation: Active collaboration with the customer during the design, implementation, and production phases.

  • Teaming with Sales: Consistent alignment between account management and service operations.

  • Process Mapping and Blueprinting: Development of clearly defined processes, supporting IT systems, and insights into customer touchpoints and stakeholder needs.

  • Service Design and Business Modelling: Tools to manage financials and anticipate challenges.

  • Strong Vision for the Team: A compelling vision enabled ordinary professionals to achieve something extraordinary together.

Despite these achievements, the service ultimately failed and was lost 15 years later. In hindsight, two key reasons stand out:

  1. Leadership and Ownership Commitment to Services

  2. Loss of Focus

1. Leadership Commitment:
There was a VP for Global Service responsible for over $250 million in revenue—including the Ford Europe project. Despite this position on the board and the success of the service business, we were never able to fully shift the deeply embedded product mindset of a traditional manufacturing company. While having 10% of revenue in services was a good selling point, once TFS was spun out of Textron and acquired by private equity, services were seen merely as an asset to be sold—not as integral to long-term success. The subsequent bankruptcy of the European business is testament to the flawed logic of that thinking.

There was a VP for Global Service responsible for over $250 million in revenue—including the Ford Europe project. Despite this position on the board and the success of the service business, we were never able to fully shift the deeply embedded product mindset of a traditional manufacturing company. While having 10% of revenue in services was a good selling point, once TFS was spun out of Textron and acquired by private equity, services were seen merely as an asset to be sold—not as integral to long-term success. The subsequent bankruptcy of the European business is testament to the flawed logic of that thinking.

2. Loss of Focus:
Our successful European service business was eventually reintegrated into the broader supply chain function, where it lost visibility and strategic priority. Crucial infrastructure—particularly in procurement and IT—was never developed to support the unique needs of this type of business. As a result, the service offering became uncompetitive and was unable to attract new customers. In reality, this was a digital business, though the owners and leadership did not recognize it as such at the time.

 
Benefits of working with Si2

Si2 has partners who have the real life hands on experiences of driving change over extended periods of time. It is this deep understanding, when combined with facilitation skills that make Si2 catalysts for sustainable change. There are many solution providers that have the knowledge, or the facilation/mentoring skills, but very few with the two combined. This is what makes Si2 unique as your advisory partner. 

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Service Innovation for value-driven opportunities:

Facilitated by Professor Mairi McIntyre from the University of Warwick, the workshop explored service innovation processes that help us understand what makes our customers successful.

In particular, the Customer Value Iceberg principle goes beyond the typical Total Cost of Ownership view of the equipment world and explores how that equipment impacts the success of the business. It forces us to consider not only direct costs associated with usage of the equipment such but also indirect costs such as working capital and risks.

As an example, we looked at how MAN Truck UK used this method to develop services that went beyond the prevailing repairs, parts and maintenance to methods (through telematics and clever analytics) to monitor and improve the performance and  fuel consumption of their trucks. This approach helped grow their business by an order of magnitude over a number of years.

Mining Service Management Data to improve performance

We then took a deep dive into how Endress + Hauser have developed applications that can mine Service Management data to improve service performance:  

Thomas Fricke (Service Manager) and Enrico De Stasio (Head of Corporate Quality & Lean) facilitated a 3 hour discussion on their journey from idea to a real working application integrated into their Service processes. These were the key learning points that emerged:

Leadership

In 2018 the Senior leadership concluded that to stay competitive they needed to do far more to consolidate their global service data into a “data lake’ that could be used to improve their own service processes and bring more value to customers. As a company they had already seen the value of organising data as over the past 20 years for every new system they already had a “digital twin” which held electronically all the data for that system in an organised fashion. Initially, it was basic Bill of Material data, but has since grown in sophistication. So a good start but they needed to go further, and the leadership team committed resources to do this.

  • The first try: The project initially focused on collecting and organising data from its global service operations into a data lake.  This first phase required the development of infrastructure, processes and applications that could analyse service report data and turn it into actionable intelligence. The initial goal was to make internal processes more efficient, and so improve the customer experience. E+H looked for patterns in the reports of service engineers that could:
    • Be used to improve the performance of Service through processes and individuals
    • Be used by other groups such as engineering to improve and enhance product quality.
  • Outcome: Eventhough progress was made in many areas, nevertheless, even using advanced statistical methods, they could not extract or deliver the value they had hoped   for from the data. They needed to look at something different.
  • Leveraging AI technologies: The Endress+Hauser team knew they needed to look for patterns in large data sets. They had the knowledge that self-learning technologies that are frequently termed as AI, could potentially help solve this problem. They teamed up with a local university and created a project to develop a ‘Proof of Concept’. This helped the project gain traction as the potential of the application they had created started to emerge. It was not an easy journey and required “courage to trust the outcomes, see them fail and then learn from the process”. However after about 18 months they were able to integrate the application into their normal working processes where every day they scan the service reports from around the world in different languages to identify common patterns in product problems, or anomalies in the local service team activities. This information is fed back to the appropriate service teams for action. The application also acts as a central hub where anyone in the organisation can access and interrogate service report data to improve performance and develop new value propositions.
  • Improvement:  The project does not stop there. It is now embedded in the service operations and used as a basic tool for continuous improvement. In effect, this has shifted the whole organization to be more aware of the value of their data.

Utilizing AI in B2B services

Regarding AI, our task was to uncover some of the myths and benefits for service businesses and the first task was to agree on what we really mean by AI among the participants. It took time, but we discovered that there are really two interpretations which makes the term rather confusing. The first is a generic term used by visionaries and AI professionals to describe a world of intelligent machines and applications. Important at a social & macroeconomic level, but perhaps not so useful for business operations -at least at a practical level. The second is an umbrella term for a group of technologies that are good at finding patterns in large data sets (machine learning, neural networks, big data, computer vision), that can interface with human beings (Natural Language Processing) and that mimic human intelligence through being based on self-learning algorithms. Understanding this second definition and how these technologies can be used to overcome real business challenges is where the immediate value of AI sits for today’s businesses. It was also clear that the implication of integrating these technologies into business processes will require leaders to look at the change management challenges for their teams and customers.

To understand options for moving ahead at a practical level we first looked briefly at Husky through an interview with CIO Jean-Christophe Wiltz to CIOnet where we learned that i) real business needs should tailored drive technology implementation, and ii) that before getting to AI technologies, there is a need to build the appropriate infrastructure in terms of database and data collection, and, most importantly, the need to be prepared to continually adapt this infrastructure as the business needs change.