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June 11, 2024

Taking a Long-Term Approach – Navigating Uncertainty in Your Aftermarket Parts Business

The Harsh Reality of the Uncertain Economic Environment

A tough economic environment may be harsh for consumers. Still, aftermarket parts businesses that have a handle on their aftermarket parts operations tend to ride the waves to higher profit margins.

The basic economics behind the aftermarket parts business fundamentally depend on supply and demand. For instance, during low interest rates, consumers quickly replace old vehicles with newer ones when costly maintenance expenses arise. However, in tough economic environments with high interest rates, consumers tend to hold on to their cars longer. This means that maintenance repairs go up. News media reports that the average age of vehicles in the U.S. hit a record of 12.6 years in May 2024.

Can manufacturers support the maintenance needs of customers in a tough environment quicker before consumers lose faith in replacing old parts to purchase newer or electric vehicles?

 

Planning for the long-term

Harsh economic environments come and go but keeping loyal customers happy is a better strategy for long-term growth. This includes creating a clear digital path for aftermarket growth. Designing an effective digital strategy can help enterprises proactively address service issues in their aftermarket parts operations. Additionally, this positions enterprises to quickly pivot to customer repair needs effectively without compromising on speed and quality. For instance, poor quality or dispersed parts data can lead to a slow and error-prone service engagement for downstream consumers.

Businesses that better manage parts search data and easily associate parts numbers with visual experiences build trust and customer confidence. Getting a handle on aftermarket data management can lead to an aftermarket operation that is efficient and customer-centric.

The result of this work? Reliable aftermarket operations and execution that keep customers happy and coming back. This approach helps improve top-line margins and provides a digital thread of parts data to optimize the checkout experience of online customers.

Businesses that better manage parts search data and easily associate parts numbers with visual experiences build trust and customer confidence during economic hardships.

Use data to make a compelling case for investing in advanced capabilities

Building effective aftermarket operations requires a modern approach that involves cost-benefit analysis, AI-powered search enhancement, and insight-driven customer experience that provides value to end customers. This includes utilizing tools that provide efficiency and visibility across the entire product lifecycle. For instance, customer support utilizing Excel sheets to manage parts inventory, customer service issues, and online consumer parts search fulfillment can mean erroneous order fulfillment, leading to expensive returns.

Effective visualization that completely represents customer-desired purchases can help customers proactively address product defects before adding to the cart. Additionally, this evaluation can be tied to customer support troubleshooting goals to help focus on removing friction of any kind from the purchasing journey. This empowers customer support teams to focus on delighting customers and generating revenue for the enterprise.

This is when aftermarket operations become a CEO’s favorite line of business in a tough economic environment. Combining visualization and analytical insights brings sales and marketing teams together to focus on targeting high-margin customers that drive business margins faster.

Use artificial intelligence to improve the efficiency of your service operations.

Understanding customer satisfaction in aftermarket business is critical to running an aftermarket operation that optimizes inventory, order fulfillment, and delivery speed. This includes leveraging artificial intelligence capabilities to improve efficiency in service operations and empowering customers to easily search, find, and buy with little to no touch.

Streamlining data across the entire customer journey strengthens operational efficiency when customer feedback is transmitted to the manufacturer for process improvements in a feedback loop. AI (Artificial Intelligence) data cleaning enables data cleansing, parts segmentation, parts categorization, cataloging, etc. to feed into the proper operations of the enterprise. Artificial intelligence also enhances customer search by providing serial number searches, image searches, 2D & 3D product visuals, BOM (Bill of Materials) searches, etc. to give customers an immersive experience without compromising efficiency and accuracy.

The result of this work? Efficient, accurate, and speedy service for customers. This builds confidence and reliability across your entire service network. Ultimately, having a sole source of clean data to work from empowers customer loyalty and lifetime value.

Expand the value-based offering to boost profitability.

The shift to a value-based aftermarket operation is a transformative journey that necessitates a deliberate approach to change management. Organizations can boost profitability, agility, resilience, and responsiveness in an ever-evolving landscape by prioritizing customer needs and promptly fulfilling their wants. As we navigate this challenging business environment, digitizing aftermarket operations better positions your enterprise to adapt to the fluctuating economy.

Learn how to create a clear digital path for aftermarket growth. This guide provides 5 tips for building an agile and resilient aftermarket business. Get the Guide!

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Winfred Amoako

CDS Visual
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