Shortcuts to the project
For an industrial company in the automotive sector, we developed an image-based AI parts search that significantly simplifies the process of finding replacement parts. In the B2B replacement parts business in particular, identifying the right components is often time-consuming. Part numbers or unique product names are frequently missing, and the search process relies on the experience and knowledge of individual employees. The goal of the project was to make the spare parts search more intuitive, faster, and more reliable. Instead of searching by part numbers or product names, all it takes now is a photo of the existing component to find matching catalog items.
How We Developed an Intelligent Visual Search
At the heart of the solution is an AI-powered image search that analyzes product images using a Vision Transformer and converts them into high-dimensional vectors (embeddings).
When employees take a photo of an existing component, the AI processes the image and compares it in real time with thousands of catalog items. The components that are most visually similar are then returned as search results.
To ensure that search quality remains high even under real-world conditions, we also developed intelligent image preprocessing and a verification scoring system. This system evaluates the quality of the search results and helps users select the most likely replacement parts.
The solution integrates seamlessly into existing service and sales processes and complements existing product databases without altering established workflows.
The Benefits at a Glance
Find Replacement Parts Using Photos
Identify the right replacement parts using a photo—even without a part number or detailed product knowledge.
Quick Search in Large Product Catalogs
Search through more than 35,000 product records in just a few seconds and find the right component faster.
High accuracy
Intelligent image preprocessing and verification scoring ensure accurate search results and reduce incorrect orders.
Less reliance on expert knowledge
Make the spare parts search process independent of the experience and knowledge of individual employees, and safeguard valuable expertise.
Faster Processes in Service and Sales
Reduce search times and create quotes or service recommendations much more efficiently.
Seamless Integration
Visual Search can be easily integrated into existing product databases and business processes.
Better Customer Experience
Faster and more accurate search results lead to shorter response times and a better customer experience.
Visual Search as a Competitive Advantage in the Spare Parts Business
Many industrial companies manage extensive product catalogs containing technically similar components. If part numbers or unique designations are missing, the search process quickly becomes time-consuming and error-prone. Furthermore, specialized knowledge about individual component groups is often held by only a few experts. As a result, the speed and quality of responses sometimes depend on the availability of specific individuals.
With AI-powered visual search, we create an intuitive alternative to traditional product search. Our solutions combine computer vision, machine learning, and existing product databases into a powerful search function that integrates seamlessly into existing processes.
Whether for spare parts management, B2B commerce, or industrial product catalogs—image-based AI search improves the user experience and speeds up the entire search process.
DISCOVER AI FOR PRODUCT SEARCH NOW.
