Brief description: 

The automotive after sales market is 44bn € in Germany alone. Our spare part recommendation engine allows car repair shops to deliver value with less human labor (increasing efficiency), allowing for higher value activities.

We developed the idea in joint cooperation with the Torpedo Group, one of the largest Mercedes car dealerships in Germany, with over 20 physical car repair shops. We have worked together with the Torpedo Group on smaller data projects before, developing a strong business and personal relationship. The Torpedo Group is also our data provider for the challenge, as they possess a large pool of untapped in-house data. Until today, they have been lacking the internal capabilities to use the data to their advantage. predrepair is a highly scalable solution, as it enables both the Torpedo Group and similarly organised car repair shops to structure their internal processes more efficiently.

 

Predrepair develops predictive maintenance algorithms tailored to the needs of car repair shops in Germany. We help car repair shops to assess maintenance needs and accurately schedule mechanic activities more efficiently. Our software therefore enables car repair shops to improve the quality of their service while also increasing revenue through better

Main Features: 

Is radically changing the way car repair shops work and will position themselves in the competition. Eventually, their entire business model might be disrupted. By using artificial intelligence, we are making car maintenance and repair more efficient, sustainably improving customer service in car repair shops. We are putting data to work. Based on data from >3 million of visits to car repair shops, we accurately predict spare part usage, mechanical activities and repair pricing for incoming vehicles.

Areas of Application: 

Automotive

Market Trends and Opportunities: 

Data availability and data ownerships in the automotive sector will be the drivers for new competitive advantages and business models. So far, manufacturers have primarily jumped at the opportunity. However, dealerships and car repair shops are also in a good position to explore and leverage the data they possess to streamline internal processes, generate new revenue opportunities and remain relevant in a highly competitive sector. We are extremely excited that the algorithms we are developing at predrepair will also form the basis for enabling car repair shops to sell their service online more effectively.

Customer Benefits: 

For a long time, car repair and maintenance services have been deemed to be too complex to be sold online sustainably. All platform approaches have failed to truly go beyond scheduling appointments. While predrepair will focus on internal car repair shop processes in its initial stage, our technology will also enable the shops to sell maintenance and repair services online. We are extremely excited to work hand-in-hand with car repair shops in Germany to enable them to face the challenges of an increasingly digital world.

With predrepair, we aim to transform car repair and car maintenance. While experience serves car mechanics well, there is potential to speed up processes and enable more cross-selling opportunities through data-driven software. We enable car repair shops to make use of the power of their own data by giving them access to state of the art machine learning algorithms. Therefore, we help a traditionally conservative industry to benefit from the digital age, equipping them with the tools needed to improve their business model for the years ahead.

Technological novelty: 

Predrepair  algorithmic engine enables car repair shops to reliably assess spare part needs and the types of mechanic activities for each incoming vehicle. Up till now, car repair shops have relied upon external information (either from the manufacturer or third parties), which makes them highly dependent on external sources. predrepair is on the frontier of helping car repair shops become independent players and establish competitive advantages by making use of their own data sources. With the help of various angel investors and industry experts who have supported us from day one, we will be able to bring a focused and tailored solution to the market, setting us apart from other approaches in the industry.

Workflow: 
Published
Process

Owner

Niels Reinhard
erlin
Germany
Type: 
Project
Project: 
data pitch
Contact: 
BDV Reference categories: 
Data Management
Markets: 
Manufacturing
Urban Mobility
Readiness Level: