How can revenue potential in the aftermarket be systematically maximized?
What are the typical challenges in the aftermarket business?
In practice, it is clear that aftermarket structures are subject to unique challenges. A wide variety of product variants is combined with volatile demand and limited forecasting capabilities. At the same time, customers expect high availability across all sales channels, from repair shops to online platforms.
Specifically, these conditions often lead to structural problems. Inventory is not optimally distributed, resulting in shortages of fast-moving parts while other items tie up capital. Supply bottlenecks lead to lost revenue, even though there is generally sufficient market demand. These effects are further exacerbated by small batch sizes and complex production networks.
It is therefore essential to take an end-to-end view of the entire value chain, from the identification of a need through to delivery.
How can lost revenue potential be made transparent?
A key step was to gain transparency into the actual causes of lost revenue. To this end, the entire supply chain was analyzed in detail and compared with actual demand trends.
Specifically, material availability was examined at every stage and systematically linked to order intake and stockouts at the SKU level. This provided a reliable picture of when and why demand could not be met. In addition, customer structures and distribution channels were analyzed to identify critical bottlenecks and opportunities for improvement. On this basis, lost sales could be not only described qualitatively but also evaluated quantitatively. This creates a fact-based foundation for strategic decisions.
Which levers are key to effective optimization?
Based on the analysis, a data-driven target model was developed. At its core was a model for optimizing inventory at the SKU level that integrates key parameters such as lead times, order sizes, and delivery performance.
The key was striking a balance between three key metrics. Service levels, inventory levels, and operating costs had to be aligned in such a way as to realize maximum revenue potential. Scenario analyses demonstrated how different values of these parameters impact business success.
Three levers proved particularly effective:
- Adjusting safety stock levels based on demand characteristics.
- Increasing delivery reliability within the network.
- Targeted reduction of batch sizes to enable a more flexible response to demand.
These measures are interrelated and are effective only when implemented in conjunction with one another.
How can this be successfully implemented within the organization?
Experience has shown that the biggest challenge lies not in the concept, but in its implementation. For this reason, a clearly structured implementation plan was developed early on, outlining specific actions, responsibilities, and timelines.
In cross-functional workshops, the impact on production, logistics, and control was jointly assessed. In particular, adjusting batch sizes required a careful balance between flexibility and efficiency, as increasing setup costs had to be taken into account.
At the same time, key parameters were redefined in the ERP system to embed the target values into day-to-day operations. This was accompanied by a targeted change management initiative. The goal was to establish a comprehensive end-to-end understanding and to break down silos in a sustainable manner.
What results can be achieved through end-to-end optimization?
The results clearly demonstrate the potential of a systematic realignment. By optimizing supply chain parameters, an additional revenue contribution of over 17 percent was identified and realized.
At the same time, material availability improved significantly, while inventory was managed more effectively. The organization was empowered to make decisions based on transparent data and to consistently track the implementation of measures.
Even more important, however, is the structural effect: the established end-to-end approach lays the foundation for sustainable improvements and makes the supply chain more resilient to future market fluctuations.
What does this mean for decision-makers in the aftermarket?
Experience shows that growth in the aftermarket is no accident. It occurs where transparency is established, conflicting goals are actively managed, and organizations are consistently aligned with end-to-end processes.
For decision-makers, this means critically examining existing structures and making targeted investments in data-driven management models. Those who systematically address this not only unlock short-term revenue potential but also strengthen their competitive position in the long term.
The aftermarket remains a growth area. The key question is who will succeed in consistently leveraging this potential.
