70% faster spare parts searches

How to turn your data into a real competitive advantage 

Make your aftersales processes more efficient with your spare part data and AI image recognition 

 

Curious? Book an appointment now

Cloud-Based Spare Parts Catalog

Visual spare part identification by photo combines AI technologies with the existing data in your Quanos ecosystem. No longer just a central source of information, your spare parts catalog becomes a real driving force for efficiency and growth in your aftersales business. 

Not keeping track of spare parts costs you time and money

Searching for spare parts is usually time-consuming and tedious for service technicians. Mistakes can also be made during identification if parts are dirty or there is no overview of spare part data. This results in devastating downtime and dissatisfied customers. 

In an age where efficiency is crucial for competition and every second counts, machine manufacturers can no longer afford the following inefficiencies

  • Unstructured spare part data
  • Long search times during service callouts
  • Mistakes when ordering spare parts  

But how would it feel if even trainee technicians knew within seconds which part they needed to order? When you integrate artificial intelligence, this is the reality. 

Poster: AI@Quanos – Your Key to a Data Treasure Chest!

Our poster shows you how AI tools from Quanos make your processes more efficient, more productive, and smarter. Whether as a supportive electric bike, a transformative steam engine, or a valuable treasure chest – discover how AI can unlock your full potential.

 

Download poster now

 

MockUp Poster KI@Quanos EN

 

Visual AI spare parts search for Quanos users: 
Maximize the value of your data  

With software from Quanos, you have already laid the foundation for efficiency and sales growth in aftersales service. But digital and networked spare parts catalogs are just the beginning. AI solutions from our technology partners allow you to make more extensive use of your spare parts data and make searching for spare parts easier for your technicians and service staff.  

With AI image recognition from our technology partners, the right spare part is just a snapshot away. Your technicians can recognize spare parts three times faster – easily and conveniently from a smartphone photo and without article numbers or descriptions. 

 

Download Fact Sheet

 

Get to know our partners

Visual spare part recognition in practice: 
How AI helps you achieve your goals 

AI-assisted spare part recognition offers your team different levers to improve aftersales efficiency and sales growth in their day-to-day work – whatever your industry and challenges.  

Maximize the value of your existing database with AI and create a single source of truth for use cases such as visual spare part identification. Instead of taking up to a week to order the right spare part, service technicians can find it in just 30 seconds with AI assistance. 

Find out in our fact sheet how visual spare part recognition optimizes your processes in e-commerce, maintenance, and the service business. 

 

Download Fact Sheet

 

Advantages for your aftersales service in figures  

70 %
time savings when searching for materials

80 %
more precision when inquiring about a spare part

75 %
greater satisfaction for technicians

 

Specialized partners for your requirements: 
Benefit from the Quanos network  

Jointly with Nyris and Partium, we offer you customized solutions for your machine construction requirements that build on existing processes and catalog data. AI spare part recognition is a first important step on the way to a sustainable aftersales ecosystem based on Quanos software, which you can use to seamlessly integrate new technologies.  

 

Questions? Our consultants are here for you  

Do you want to use the Quanos technology network to monetize and scale up your data – without any great outlay and budget concerns? Book an appointment now and find out how AI spare parts searches, online stores, chatbots, and more can assist you.