TecTalk - Automotive Aftermarket Podcast · Christian Müller - VP Marketing at TecAlliance

#06 with Jonathan Amo, Director Global Aftermarket Product Content at Gates

·33 min·5 clips

Data is the operating layer. Christian Muller sets up Jonathan Amo as the Gates person many aftermarket partners run into when product content, automation, and data quality stop being abstract and start costing money. The first headache is reputation. A wrong application can move through the sales chain and come back to Gates as the brand that gets blamed. That is the uncomfortable part. Data quality only helps if receivers understand it and use it properly. The basic market chain is still familiar: manufacturers, distributors, workshop chains, warehouses, shops, and mechanics. Even when a step drops out, the work does not vanish. Fragmentation just moves the pressure around. Muller pushes the US and Europe comparison, especially the extra distribution steps and the weight of big platforms. Amo sees disruption in both markets. Amazon, eBay, and Mercado Libre come up as online sales forces, not old style automotive distributors. Traditional distributors may hate losing share, but the conversation stays practical. COVID made the lesson harder to ignore. Distributors can build e-commerce channels too, but they need clean content to do it. Product data has to survive the trip from manufacturer to platform to seller to workshop without losing fitment meaning. Gates is a data factory as much as a parts maker. The business lesson lands cleanly: part manufacturers now compete globally through visibility and their ability to feed every point of sale.

As heard by us

A practical look at how aftermarket data shapes visibility across a fragmented distribution chain.

Gates treats aftermarket data as operational infrastructure, and the episode shows why that matters. Christian Muller and Jonathan Amo spend most of the discussion on the cost of bad data, regional format differences, and the shared chain linking distributors, platforms, and…

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You want a clear take on how bad parts data turns into a business problem.

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