AI Spare Part Identifier
Team with
customer domain expert
Trade in Automotive Parts
Together with a German SME in the area of automotive spare parts we've developed an API-based web application that takes an image of a spare part, feeds it to a deep neural network classifier and sends back the predicted part number. The images come from end-user devices like cameras and smartphones.

The solution speeds up the customer support and ordering processes. Where in the past a qualified employee with years of experience would classify the part, often taking 10 to 15 minutes to identify the exact part number, our AI solution now shows the result in less than a second! Our customer gets a competitive advantage by automating a time-consuming task.
Screenshot of the web application.
Solution guided the customer through the process of identifying a suitable first AI project, executing a Proof-of-Concept project and later implementing a production solution. Together with a customer domain expert we identified the challenges and requirements:

  • API-based solution to suit different usage scenarios and easy integration
  • Cloud-hosting, independent of customer IT landscape
  • Continuous learning to support growing number of identifiable parts
  • Agile project with short feedback-loops
  • Possibility to quickly retrain Neural Network
Project Details
Industry: Automotive
Users: Customer employees in two locations in Germany.
Time Frame: Beginning 2018 (Proof-of-Concept phase) to December 2018.
Products / Technologies:
  • Google Cloud Platform (Compute Engine, Storage and DNS)
  • Python, PyTorch and Deep Learning frameworks
  • Jupyter Notebook for fast network improvements
  • REST API for UI - Backend interface
  • Nvidia GeForce GPUs for network training

The customer has agreed to us sharing the contact details on request if there's no conflict of interests / overlap in the area of operations. Get in touch if you're interested.