Building your own digital sales channels may feel like control, but over time it often turns into a growing cost burden. Why in-house solutions rarely stay one-time investments and what this means for decision makers in the Automotive Aftermarket.
Series: Make or buy – Scaling digital sales in the aftermarket (part 1/3)
This is the first article in our series exploring the business case behind “make or buy” decisions in digital B2B sales. The series is based on our white paper comparing the economic viability of own webshops, direct EDI/API integrations and industry platforms in the Automotive Aftermarket.
Building your own digital sales channels often feels like the logical next step. An own webshop, custom integrations and full control over features, data and branding promise independence and flexibility. On the surface, this looks like a strategic investment that can be planned, built and then completed.
In reality, digital sales infrastructure is rarely a one-time investment. It becomes a permanent cost structure that grows with every new customer requirement, market change and technical dependency. Especially in the Automotive Aftermarket, this dynamic is often underestimated.
The illusion of the one-time investment
Most “make” decisions start with a clearly defined project scope. Budgets are calculated around development, initial integrations and a planned go-live date. Once these milestones are reached, the solution is considered implemented.
What is often overlooked is that digital sales channels do not stand still. Security requirements evolve, customer expectations increase and internal processes change. What initially looked like a finished solution quickly turns into the starting point of a continuous cycle of adjustments and extensions.
Over time, the initial investment fades into the background. What remains is the ongoing effort required to keep the system operational, secure and competitive.
Where costs really accumulate
The largest cost drivers usually appear after launch, not before. In practice, they fall into three recurring areas:
- Continuous IT and maintenance effort: Including system monitoring, updates, security patches and performance optimization
- An expanding feature backlog: Driven by customer expectations, internal requirements and market-specific adaptations
- Growing integration complexity: Every new partner or market introduces individual mappings, testing and ongoing care
There are also hidden internal costs that rarely appear in early calculations. Knowledge concentrates in small teams or individual experts. Staff turnover creates risk. Time spent maintaining infrastructure is time not spent on product innovation, customer relationships or strategic growth initiatives. Taken together, these factors drive up the total cost of ownership far beyond the original business case.
Scaling makes the problem more visible
A common assumption is that digital sales infrastructure becomes cheaper per transaction as volumes grow. This holds true for shared and standardized models. It rarely applies to proprietary solutions.
In self-built setups, scaling typically means more integrations, more exceptions and more operational overhead. Costs increase linearly and sometimes disproportionately with growth. Instead of benefiting from economies of scale, organizations manage an increasingly complex technical landscape that slows down decision making and absorbs resources. What started as a solution designed for control gradually turns into a structural constraint.
How platforms change the economic logic
Platform-based models follow a fundamentally different logic. Instead of many individual connections, they rely on one standardized access point. This has a direct impact on the cost structure:
- Shared costs: Infrastructure and development costs are shared across all participants.
- Centralized updates: Maintenance and updates are centralized, reducing internal effort.
- Existing standards: Scaling does not require proportional new investment, as new connections reuse existing standards.
Most importantly, complexity is no longer managed individually. It is absorbed by the platform and converted into a shared standard. Over time, this leads to a structurally lower total cost of ownership across the entire lifecycle.
Control versus long-term economics
Choosing an in-house solution offers maximum control over technology and processes. That control comes with long-term cost exposure and dependency on internal resources.
Platform models require accepting shared standards and giving up parts of individual control. In return, they offer:
- Predictable cost structures
- Higher scalability without linear cost growth
- Faster adaptation to market and regulatory change
For decision makers, the key question is no longer whether it is technically possible to build a digital sales channel in-house. The real question is whether it makes economic sense to do so.
WHAT COMES NEXT
In the next article of this series, we will explore why one-to-one integrations do not scale and why standardization is the only viable path for digital sales in a fragmented Aftermarket ecosystem.
WANT THE COMPLETE OVERVIEW?
This article is based on a comprehensive analysis comparing own webshops, direct EDI and API integrations and industry platforms in the Automotive Aftermarket.
Assess total cost of ownership, scalability, time to market and return on investment in detail to understand which model delivers the strongest long-term business case.