How GiPA is applying AI to transform the automotive aftermarket

Artificial Intelligence (AI) is no longer a futuristic vision, it’s a transformative force already reshaping how businesses operate, innovate and grow. From automating repetitive tasks to generating strategic foresight, AI is now a key enabler of operational efficiency, customer satisfaction and revenue optimization. For decision-makers across industries, from insurance to mobility, the question is no longer if AI should be adopted but how and how soon.

The business case for AI is compelling. In Europe, companies implementing AI are already seeing major gains:

• +50% increase in lead generation for sales divisions
• +20% productivity improvements by 2035
• -30% reduction in customer service costs through automation

This is especially relevant in the automotive aftermarket, a sector that, while historically conservative in its digital transformation, is now experiencing an accelerated shift driven by data, technology and AI. GiPA, a global leader in aftermarket and mobility intelligence, is at the forefront of this transformation applying AI not as a buzzword, but as a practical business tool.

The Automotive Aftermarket: a real-world AI playground

The automotive aftermarket presents a unique challenge: highly fragmented data, a wide variety of parts and suppliers and increasing pressure on supply chains, pricing and service levels. It’s a perfect use case for AI-driven transformation.

AI is not just about doing the same things faster. It’s about unlocking new ways of working that were previously impossible:

• Predicting customer behavior before it happens
• Personalizing service offers for every client profile
• Optimizing pricing in real time based on market dynamics
• Accelerating training for garage technicians using AI-powered simulations
• Streamlining complex supply chains with predictive procurement models

In the aftermarket context, companies using AI can reduce lost sales due to stockouts (up to 16%), increase service throughput and even avoid unnecessary parts replacement by predicting component failure in advance.

Turning Data into Strategy

Where GiPA truly stands out is in its methodical, structured integration of AI. Unlike other players who rush to adopt flashy tech, GiPA has anchored its AI strategy in:

• Clear organization of data lake and content repositories
• Training of internal teams to use AI tools responsibly
• Sustainable adaptation to evolving technologies
• A focus on high-impact business logic

GiPA Connect, the company’s latest updated digital platform, reflects this philosophy. It combines AI-powered insights with a clean, user-oriented interface, offering clients across the globe the access to strategic intelligence that’s easy to navigate and ready to use.

“AI is no longer optional. It’s a strategic necessity for businesses that want to stay competitive, anticipate risks, and seize new opportunities,” says Almudena Benedito, CEO of GiPA Group. “We are proud to bring AI to the aftermarket in a way that’s structured, intelligent and, above all, useful.”

GiPA Connect is built around a clear principle: data is only valuable when it’s accessible, actionable and accurate. Through an intuitive, user-friendly interface, users can:

• Benchmark performance across countries, channels, or segments
• Track key market trends and repair indicators in real time
• Personalize dashboards based on specific business needs
• Access GiPA insights powered by artificial intelligence

What sets GiPA Connect apart is its combination of expert knowledge and AI-driven capabilities, which helps clients anticipate market shifts, optimize strategies and reduce decision-making time.

“With GiPA Connect, we’ve created a platform that transforms data into structured intelligence because clarity and speed are the new competitive edge,” says Almudena Benedito, CEO of GiPA Group. And there is more to come, on top of the AI search we are developing new functionalities like executive summaries, always checked and certified by GiPA, dashboards and much more to come in 2025.

GiPA has identified and implemented as well practical AI applications across several core areas of its business and client services: