Machine downtimes are one of the most expensive risks in the service business. Every hour that a system is out of operation costs money – often in a five-figure range. Paradoxically, however, identifying the right spare part is still one of the most time-consuming tasks for service technicians and spare parts managers. Long search paths, unclear drawings and questions for experts delay the necessary repair work and drive up costs.
 

The solution: A contemporary, digital spare parts catalogue with a visual AI search function. Instead of laboriously combing through parts lists or exploded views, today all you need is a photo or a quick scan with a smartphone. Within a few seconds the system suggests the right spare parts – clearly and precisely and with an immediate order option.

Why classic spare part searches are reaching their limits
Without digital support a spare parts search can take more than an hour – and in the worst-case scenario even days. There are many reasons for this such as confused data, error-prone communication between technicians and the hotline, a shortage of skilled labour and high time pressure. Studies show that up to 30 percent of all work in service teams is spent just identifying spare parts.

How visual part recognition works
The process is very simple for technicians. They only have to take a photo of the component, select a relevant area if necessary and start the AI search. The system compares the image with the digital catalogue and provides a precise hit list within a few seconds. The appropriate spare part can then be ordered directly from the list or assigned to a service ticket. This reduces the time from taking the photo to ordering to less than a minute.
 

The advantages in everyday practice
For service technicians the visual AI search means less guesswork, fewer queries and more time for the actual repair. For spare parts managers the benefits include lower process costs, higher parts turnover and more satisfied customers. The main advantages are:

• Fast identification: up to 70 percent time savings
• More precise results – fewer incorrect orders and queries
• Shorter ticket processing times – up to 17 percent faster
• Error prevention – automatic recognition minimises typing errors and language barriers
• Automated processes – direct integration into ERP / service systems

FACT: 80 percent of spare parts enquiries are more precise with visual AI.

More than just spare part searches
The possible applications extend beyond simple searches. Customers can identify parts themselves, the stress on hotlines is relieved and companies can develop new digital business models. Even if the database is still incomplete, even complex components can be clearly recognised with AI – either from photos, CAD data or artificially generated images.