Automotive data decisions start with a simple question: do you actually know what's happening with your parts once they leave the warehouse? For many aftermarket suppliers, the honest answer is "not clearly enough." This guide walks through why that visibility gap exists, what's driving demand in the aftermarket right now, and how suppliers are starting to close the gap with better data.
Why Is Automotive Aftermarket Data So Hard to Get Right?
Aftermarket data is hard to manage because it's scattered. Sales come in through different retailers, each with its own reporting format and cadence. Inventory levels shift by location. Demand for a given part can spike regionally without much warning. Put together, that means a supplier's clearest picture of what's actually selling often arrives too late to act on.
This isn't a small inconvenience. Without a connected view of sales and inventory, suppliers are left reacting to problems (a stockout, a slow-moving SKU, a missed reorder window) instead of catching them early.
Why Automotive Aftermarket Trends Make This More Urgent
Vehicles are staying on the road longer, and that's reshaping demand across the whole aftermarket. According to S&P Global Mobility, the average age of light vehicles in the U.S. reached a record 12.8 years in 2025, with passenger cars alone climbing to 14.5 years. Vehicles between 6 and 14 years old fall into what S&P calls the aftermarket "sweet spot," the range where parts and service needs are highest.
That trend isn't slowing down. As more vehicles age into that range, aftermarket suppliers can expect steady, sustained demand for maintenance parts. At the same time, customers are asking for more than basic repairs. Many want customization and "smart" features that improve how they drive, which means suppliers also need to plan for newer, more specialized product lines alongside core replacement parts.
Meeting both kinds of demand, steady and evolving, is difficult without a clear read on what's actually moving.
What Aftermarket Inventory Management Looks Like When It's Working
Successful aftermarket inventory management comes down to matching supply to real demand, not last quarter's forecast. A few habits separate suppliers who do this well.
For example:
- They watch sell-through, not just shipments. Knowing what left the warehouse tells you less than knowing what actually sold at retail.
- They catch slow movers early. Spotting a declining SKU months before it becomes a write-off gives more room to adjust pricing or promotion.
- They plan reorders around real lead times. Aligning replenishment with how fast a part actually turns keeps shelves stocked without tying up capital in excess stock.
- They price with current context. Competitor pricing and demand shift often, and pricing decisions work better when they reflect what's happening now.
None of this requires guesswork. It requires access to sales and inventory data that's current, accurate, and easy to act on, which is exactly where most suppliers get stuck.
How Suppliers Are Turning Retail Data Into Better Decisions
Here's the direct answer: suppliers are closing the data gap by pulling retail sales and inventory information into one connected view instead of piecing it together retailer by retailer.
That's exactly the problem Decision Intelligence was built to solve. It brings retail sales, inventory, and item-performance data together in a consistent, ready-to-use view, so teams spend less time preparing data and more time deciding what to do with it. A dedicated data operations team and 100+ industry experts double-check and standardize the data behind the scenes, drawing on POS and inventory data from 600+ retailers, including Amazon, Walmart, Target, and Costco.
The results speak for themselves. Benchmade grew sales 3.5% after putting sales and inventory insights directly in front of its sales team. Wolverine Worldwide and Sperry improved gross margin by more than 10% across their retail relationships. Leatherman drove a 7% gross margin improvement with sell-through visibility covering 75% of its domestic sales.
Getting Started With Automotive Data Decisions
Vehicles are aging, and customer expectations keep shifting. For aftermarket suppliers trying to plan ahead in that environment, a connected view of sales and inventory makes the biggest difference. It helps you spot demand earlier, manage inventory with more confidence, and price with the market instead of behind it.
Frequently Asked Questions
What is the average age of vehicles on the road today?
According to S&P Global Mobility, the average age of U.S. light vehicles reached 12.8 years in 2025. Passenger cars average 14.5 years, while light trucks average 11.9 years.
Why does vehicle age matter for aftermarket suppliers?
Vehicles between 6 and 14 years old need the most maintenance and replacement parts. As more vehicles age into that range, demand for aftermarket parts grows and stays steady.
How does SPS Decision Intelligence help aftermarket suppliers?
Decision Intelligence brings retail sales, inventory, and item-performance data from 600+ retailers into one standardized view, backed by a full-service data team, so suppliers can make inventory, pricing, and demand decisions based on what's actually happening at retail.