Skip to main content

Sitation blog

Automotive

Automotive and aftermarket product data: fitment, ACES and PIES, and catalog operations.

Industries Strategy

Meet the New Boss, Same as the Old Boss: Product Data, Fitment, and E-commerce for Automotive Success

The year is 2026. People no longer ask if you use AI; they ask how you use it and what services are critical to your workflow. Average consumers are turning to AI services instead of (or within) Google Search for researching products to buy, and automotive is included in that. Read More

Industries Strategy

The EV Aftermarket Is Here: Why Managing Fitment for 9.75 Million Alternative Powertrains Starts Today

For years, the electric vehicle (EV) aftermarket has been a distant concept; a topic for future-planning conferences, not for today’s operational strategy. That future is now officially in the rearview mirror. The 2026 Auto Care Factbook delivers an unequivocal message: the EV aftermarket has arrived, and… Read More

Plezio software Insight

The Automotive Content Bottleneck: How AI Turns Specs into Sales

Automotive and powersports catalogs expand faster than teams can write, review, and refresh product content. Fitment rules, safety/compliance language, and channel-specific policies make the work slow, inconsistent, and expensive. Plezio Draft turns this bottleneck into a repeatable engine for growth by producing accurate, channel-ready content at… Read More

Industries Strategy

Why Auto Care Standards Alone Won’t Win in Ecommerce

Auto Care Standards are like training wheels for product data. They’re essential for balance, but nobody’s going to win the Tour de France with them still on. Meeting Auto Care compliance ensures that your automotive parts data is accurate, structured, and recognizable across the supply chain. That’s important. But… Read More

Industries Strategy

The New Taxonomy of Speed: Re-architecting Your Data for Performance and Automotive 

For decades, the automotive aftermarket has been defined by a familiar rhythm: a massive, aging fleet of passenger cars and light trucks requiring a predictable set of replacement parts. Success in this world has been built on mastering the ACES and PIES standards and managing the complexities of Year-Make-Model-Engine (YMME)… Read More

Industries Insight

The E-Commerce Proving Ground: Lessons from the $13.7 Billion Amazon Auto Parts Market

The numbers are staggering. According to the 2026 Auto Care Factbook, Amazon’s automotive department has swelled into a $13.73 billion behemoth, growing nearly 10% year-over-year. It’s now the 12th largest category on the world’s biggest digital shelf, with an average sales price of $42.26 per unit,… Read More

Industries Insight

Why Your Return Rate is a Data Problem: A Deep Dive into Brakes, Batteries, and Lighting

In the world of e-commerce, product returns are more than just a line item on a balance sheet. They are a direct assault on profitability, a drain on operational resources, and a corrosive agent to customer trust. Nowhere is this truer than in the automotive aftermarket, where a simple mistake… Read More

Company news & events News

Sitation’s Debut at SEMA/AAPEX 2023: A Desert Oasis of Connections and Chapstick Frenzy

As first-time participants at SEMA/AAPEX 2023, rather than just attendees, Sitation shared space with industry giants, connected with clients, and forged new relationships with prospective customers. Read More

Industries Insight

Discover the Value of Sitation’s Automotive Fitment App

With a number of professionals coming from the automotive industry, Sitation has a deep understanding of the needs and thus the solution to automotive's core challenges. PIM improves data completeness and management, but how does fitment work within these systems? Sitation introduces Automotive Fitment App as a modern solution for industry Akeneo users. Read More

Industries Strategy

Automotive Product Data – Overcoming Year Make Model Challenges: Part 4

In conclusion to the Overcoming Year Make Model Challenges series, take a look at how you can embrace best practices for successful year make model data management to stay ahead in the competitive landscape. Read More

  • 1
  • 2