The European automotive aftermarket is moving toward a more sustainable future, but auto centres still face persistent challenges. Ordering the same parts from multiple distributors leads to unnecessary deliveries, returns, increased costs, and inefficiencies across your supply chain.
By leveraging advanced AI solutions, you can bridge critical information gaps between manufacturers, distributors, and auto centres can be improved—driving better product discovery, delivery reliability, demand forecasting, and returns management. The results? Reduced waste, improved efficiency, and enhanced customer satisfaction.
Struggling with these gaps in your supply chain?
Each stakeholder in the automotive aftermarket faces unique challenges that impact efficiency and profitability:
Manufacturers
- What is the real market demand for this part?
- How can production be optimized to avoid overproduction?
Solution: Demand forecasting
Distributors
- Will this part be returned?
- How can returns be processed cost-effectively?
- How can dead stock be minimized?
Solution: Return prediction
Auto centres
- Is this the right part for the job?
- How quickly will it arrive?
- Is this the best price available?
Solutions: Product discovery, Delivery date reliability
Drive AI-powered efficiency across your supply chain
Identify the right part every time with visual search
AI-powered visual search technology allows you to quickly and accurately identify parts from images. This reduces incorrect orders and minimizes costly returns, ensuring you always get the right part the first time.
Gain confidence in delivery timelines with EDD guarantees
Estimated delivery date (EDD) guarantees provide real-time transparency on when parts will arrive. This helps you make informed ordering decisions and eliminates the need to place redundant orders.
Streamline returns with predictive analytics
Predictive analytics help you anticipate returns before they happen and streamline your return processes. This improves inventory accuracy and reduces the operational burden of handling returns.
Optimize production with AI-driven demand forecasting
Accurate demand forecasting models give you visibility into true market needs. This helps manufacturers avoid overproduction while ensuring distributors and auto centres have the right parts when they need them.
Reduce waste with flexible order management
Order cancellation windows give you the flexibility to adjust or cancel orders as needed. This reduces unnecessary shipments, saves costs, and improves overall efficiency across your supply chain.
What’s costing you more—returns, stockouts, or inefficiencies?
BOOK YOUR STRATEGY SESSIONSuccess stories
Accurate delivery date predictions for better planning
A global retailer implemented a scalable EDD service that provided accurate delivery date estimates across multiple regions. The results included:
- Improved customer satisfaction through reliable delivery timelines.
- Real-time visibility into delivery processes for supply chain teams.
- Faster onboarding of new regions with minimal effort.
- Reduced unnecessary shipments through better planning.
Faster product identification with visual search
A manufacturing business adopted visual search technology to simplify part identification. The benefits included:
- Significant reductions in incorrect orders.
- Fewer returns and improved inventory accuracy.
- Enhanced customer experience through faster product discovery.
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Optimizing warehouse order picking time with explainable AI
A warehouse operation implemented an explainable AI solution to optimize their order picking process. The results included:
- 23% reduction in average order picking time through optimal product placement.
- Machine learning model that predicted order picking time based on storage locations.
- Significant decrease in operational costs and increased order fulfillment throughput.
- Implementable warehouse layout that satisfied all operational constraints.
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Tire recognition with deep learning visual models
A tire retailer implemented an AI-powered mobile application for identifying tire specifications from images. The results included:
- Mobile app that identifies tire specifications from smartphone photos.
- 42% accuracy in finding exact tire matches and 73% accuracy for similar parameters.
- Comprehensive pipeline combining image segmentation, OCR, and information retrieval.
- Solution that simplifies tire replacement selection for both customers and store associates.
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Let’s talk about your challenges
What challenges are you facing in streamlining your supply chain? Whether it’s improving product discovery, managing returns more effectively, or forecasting demand accurately, we’d love to hear from you. Share your details below so we can connect after the event.
Related solutions and starter kits
Learn more about our innovations in AI‑powered supply chain optimization
Learn more about our innovations in the automotive industry
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