After-sales service is no longer a cost center. It is a lever for margin, loyalty, and transformation.

Why the historical model is reaching its limits

Activity is still often driven by the volume of incidents handled and the cost of intervention—two indicators that describe a workload, never the value created.

Customers now expect visibility into progress, continuity of use for their equipment, and effective resolution, not just acknowledgment of their request.

The shortage of technical skills makes knowledge transfer and the attractiveness of service professions as strategic as organizing service routes.

The growing complexity of equipment, with its embedded electronics, connectivity, and software, is shifting the effort from mechanical tasks to diagnostics.

Repairability and sustainability requirements are transforming maintenance into a lever for durability, with documentation obligations and a need for available parts.

Data remains scattered across service tools, sales management systems, the installed base, and customer feedback, which prevents a shared understanding of performance.

Six transformations to lead

• —Moving from cost to value

  Making the service's contribution to revenue visible, tracking the margin of service activities, and measuring the effect on customer loyalty and equipment renewals.

• —Managing the promise

  Defining realistic and sustainable service levels, embracing explicit prioritization of requests, and making the promise transparent for both the customer and the teams.

• —Streamlining the journey

  Treating request intake, diagnosis, planning, intervention, reporting, and the feedback loop as a single chain, without any break in the flow of information.

• —Equipping the teams

  Making technical knowledge accessible in the field, supporting mobility, ensuring parts availability, and facilitating collaboration between technicians, support, and the back-office.

• —Develop skills

  Structure the development of technical, relational, commercial, and managerial skills, and recognize the technician's role in the customer relationship.

• —Prepare for sustainable service

  Integrate repairability, lifespan extension, predictive maintenance, and usage-based models into service decisions.

The indicators that truly inform decision-making

• —Handling time

  Time between the customer's request and its effective handling: the first signal of promise fulfillment. A guideline to be adapted, not a universal benchmark.

• —First-time fix rate

  Percentage of interventions resolved without a callback: reveals the quality of the diagnosis, parts availability, and preparation.

• —Downtime

  The duration during which the customer cannot use their equipment: an indicator experienced by the customer, more telling than an internal metric.

• —Commitment adherence

  Gap between announced service levels and those actually met, by customer or contract segment.

• —Failure recurrence

  Repetition of failures on the same equipment or product family: guides reliability improvements and dialogue with the design team.

• —Satisfaction after resolution

  Perception measured after case closure, distinguishing between satisfaction with the technical resolution and the customer relationship.

• —Margin per contract and per service

  Actual profitability of contracts, service calls, and parts, a prerequisite for clear-headed economic decisions.

Who is this white paper for?

• —General Management

  To situate the service within the company's business model and guide investment decisions.

• —After-Sales and Service Managers

  To objectively measure performance, structure management processes, and advocate for priorities.

• —Customer Experience

  To connect the brand promise to the actual experience during a breakdown or service call.

• —Operations

  To align planning, skills, parts, and service commitments.

• —Digital & Transformation

  To frame tooling and data projects based on service challenges.

What you can do with it

• —Prepare for a management committee meeting

  Have a shared analysis framework to present the challenges of service without oversimplification.

• —Establish a shared diagnosis

  Compare the perspectives of operations, sales, and management using the same framework.

• —Prioritize a roadmap

  Choose a small number of realistic transformations rather than an exhaustive, unworkable plan.

• —Challenge your indicators

  Ensure that the metrics being tracked are actually guiding decisions.

Frequently Asked Questions

Why rethink after-sales service now?

Because several pressures are converging at the same time: customer expectations centered on continuity of use, a scarcity of technical skills, the growing complexity of equipment, and repairability requirements. Taken individually, these changes were manageable. Together, they make it difficult to maintain a purely reactive service, sized according to the volume of incidents. Rethinking after-sales service means first choosing the promise the organization can keep, then aligning processes, skills, tools, and indicators with that promise, rather than adding resources to a model that is reaching its limits.

Does "profit center" mean charging more?

No. Making service a value contributor is not just about increasing prices. It's first and foremost about making visible what the service already produces: customer loyalty, equipment renewal, reduction in rework, and information useful for design and sales. Then comes the question of the offering: clear contracts, differentiated service levels, and services that are genuinely useful to the customer. A price increase without a perceived improvement weakens the relationship; conversely, a clear and well-kept promise can be valued without eroding trust.

Is going digital enough?

A tool is no substitute for an explicit service promise, clear roles, or skills. Digitalization brings visibility, reduces re-entry, and facilitates information sharing, but it also amplifies organizational flaws when deployed on vague processes. Projects that produce lasting effects start from actual field usage and the service model, then translate these choices into processes, data, integrations, and change management support. The tool then becomes a means, not the end goal of the project.

How to get started?

Through a shared, brief, and honest assessment: what the service currently promises, what it actually delivers, what the customer perceives, and what it costs. This framework helps in selecting two or three priority transformations, with observable milestones rather than an exhaustive program. It is then useful to verify the quality of the available data, to involve field teams from the design phase, and to define the indicators that will be used for decision-making. The white paper provides a framework for conducting this initial step.

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