RPA in the automotive industry:
key use cases, examples & best practices

RPA in the automotive industry: key use cases, examples & best practices

October 24, 2023

Top 8 RPA use cases in the automotive industry

RPA has proved its worth in many areas, including the automotive sector. RPA bots can perform many time-consuming and repetitive tasks vulnerable to human errors. Let’s explore the most potent use cases of RPA in the automotive industry.

Inventory management

Streamlined inventory control is at the core of efficient supply chain management. Traditionally, automotive manufacturers employ supervisors who ensure their inventory levels match the demand. By nature, this is a manual, low-value-adding task, which is also highly susceptible to human errors. With the increasing adoption of industrial IoT and abundant data on partners and customers at hand, automobile manufacturers can maintain their sufficient stock balance by integrating RPA.

One Fortune 500 automotive company required demand planners to manually enter their estimates into the ERP system. The organization decided to deploy an RPA bot, developed by Birlasoft, that mines for important data points in demand planners’ emails and updates the safety stock levels without any human intervention.

automation of safety stock updates

saving of person hours per week

Auto insurance

In the auto insurance industry, claim processing speed and accuracy are the core factors affecting customer satisfaction. With ever-rising customer expectations, streamlined claims processing is paramount to overall business success.

However, processing claims manually is a very labor-intensive and error-prone task. Traditionally, claims adjusters must gather relevant data from disparate sources, analyze it, and transfer it into the policyholder’s digital record. This is where RPA can bring additional document management benefits, like reformatting and data verification.

Similarly, RPA can speed up underwriting. For example, auto insurers often need to browse public databases to check claimants’ criminal records. RPA can autonomously access these records and transfer data to the company’s internal system.

One of the largest insurance companies in Europe, PZU Group, hired UiPath, Itransition’s long-term partner, to implement a robotic process automation solution, aiming to free their insurance agents from the most time-consuming and repetitive tasks and allow them to provide more personalized customer service. The RPA solution had multiple use cases within the insurance company processes, including calling for assistance after an accident, initial analysis of car damage claims, calculating refunds of vehicle repairs based on invoices, and data entry for direct costs and policyholder information changes.

increase in the number of processed claims by employee

shorter customer service call times

Vehicle financing

As with robotic process automation for the banking industry, automation can be beneficial for car financing as well. Auto lenders often need to simultaneously access multiple siloed systems and databases to complete certain operations. RPA can be used to automatically consolidate information stored across disparate systems into one interface, which can speed up analysts’ decision-making and, consequently, improve customer satisfaction. 

Most importantly, RPA is comparatively fast and easy to implement. As a payoff, auto lenders can mitigate the risks of human errors and leave employees with more time to engage in value-adding and mentally-demanding activities.


Data verification and validation
Auto lenders can automatically verify the accuracy and relevancy of customer information in borrower forms, service contracts, and warranties.

Loan and default servicing
Lenders can automate various loan administration operations, including vehicle title maintenance, customer letter processing, and complaint analysis, as well as invoice and repossession processing. 

Financial analysis
Financial data collection and formatting from different systems can be automated for further analysis by a human.

Supplier onboarding

Most automotive companies have to communicate with dozens of suppliers to operate. With seamless data sharing being a pinnacle of efficiency, automotive companies now explore RPA capabilities to transfer their corporate information securely. RPA helps solve the challenge of data scattered across different systems and ensuring uninterrupted data flow between the business ecosystem participants.

A leading automotive component maker, Yazaki, turned to RPA to streamline digital collaboration with its customers and suppliers in the Americas and Europe. In their case, RPA helps streamline supplier onboarding through automated provisioning, significantly reducing the time it takes to onboard new partners. As a result of this cooperation, Yazaki managed to integrate and support communication and document exchange between 120+ manufacturing, corporate, and distribution locations and several hundred customers and suppliers.

Freight management

Along with AI tools for transportation, RPA can significantly enhance freight management, which is conventionally plagued with manual deficiencies. Traditionally, employees would need to enter customer data into the TMS, identify the best possible freight options and transport routes, send this information to the customer, and wait for confirmation. While carrier choice requires human decision-making, it is, in fact, an entirely rule-based process. By integrating RPA into the TMS, the system can autonomously assess the information, generate quotes, and book shipments, significantly speeding up the process.

A global auto manufacturer has implemented an RPA solution to deal with demand spikes and facilitate a complex and cumbersome process of preparing a Shipper’s Letter of Instruction (SLI) for overseas shipments. With their RPA solution, the company managed to automate this process, save 2-4 person-hours per day, and significantly decrease SLI preparation cycle times.

Vehicle recall management

Vehicle recalls due to identified safety risks or failure to meet all the necessary safety standards is a challenging aspect of the car manufacturing business. Timely vehicle recall management requires speedy and accurate communication with affected dealerships and customers. Robotic process automation tools can streamline the recall process, automating faulty vehicle identification and subsequent coordination of replacements and repairs.

Car manufacturers can implement RPA bots to facilitate and speed up vehicle recall management. RPA solutions can instantly scan vehicle identification numbers (VINs) across databases and identify the affected cars. Then, RPA bots can generate personalized recall messages to owners and dealerships and schedule repair or replacement procedures. This approach will streamline the recall process, mitigating safety concerns and saving car manufacturers from legal consequences and litigations.

Dealer network management

Сar manufacturers usually have an extensive geographically-distributed dealership network. Smooth management of its operations involves multiple administrative tasks, such as reporting sales figures, payment processing, and maintaining compliance documentation. Robotic process automation can facilitate dealer network management by automating data collection, verification, and reporting.

GM Financial, the financial services arm of General Motors, has implemented an RPA solution into its dealership network management processes. RPA bots freed human agents from collecting and processing unstructured sales reports and other documents, verifying the data, and creating performance reports. Robotic process automation reduced reporting errors and speeded up data processing: a process once requiring five minutes of a human agent’s time can now be automatically done in 30 seconds, highlights GM Financial.

Customer data management

Accurate and up-to-date customer information is essential for any business, including automotive companies. It affects sales operations, personalized marketing campaigns, and streamlined customer service. RPA bots automate customer data gathering, validate the information, and facilitate timely updates in the CRM system, eliminating duplicates and human errors.


Maintaining accurate customer data in CRM

Facilitating personalized marketing campaigns

Improving customer service

Enhancing customer engagement and satisfaction

RPA implementation best practices

To reap the maximum benefits from robotic process automation solutions for your automotive business, consider the following best practices and adoption guidelines proven by our RPA experts.

Key application areas

Establishing a solid framework for identifying opportunities with the highest ROIs is critical. Choosing the right use case is paramount to successful RPA implementation. Besides ROI calculation and KPI estimates, it's important to consider the benefits of robotic process automation that can't be measured. For example, employee morale boosted by manual task automation can be a priority just like higher productivity.

Here are the main attributes of an RPA-ready automotive business process:

  • It’s repetitive

    First, look for repetitive processes that don’t require any cognitive input. Highly mundane and repeatable tasks should be the top priority for RPA integration.

  • It’s stable

    Choose the most stable processes and environments. Ask an important question: “Is this system expected to change in the future?” Consider that even slight changes in the system’s structure might require RPA reconfiguration.

  • It’s rule-based

    Pure RPA can only make decisions based on predefined rules. The technology will require a human assistant or augmentation with AI if decision-making flexibility is necessary and the probability of exceptions is high.

Game-changing vision

Decision-makers within your organization should have a clear vision of the total RPA implementation value and the cost of its implementation. Your automotive company should develop a sound automation strategy, which can require a fundamental restructuring and new business goals set with automated processes in mind. 

Together with your RPA implementation partner, you should develop a high-level RPA implementation roadmap, focusing on attaining the set automation targets step-by-step. 

In the early automation stages, simple RPA bots can deliver quick results and guarantee swift progress with minimal business disruptions. Moving further, more intelligent automation methods, including AI-enabled automation processes, can be added. 

Thinking bigger, you’ll have to define and prioritize where to put extra employees’ time and resources, freed up by automated processes, to generate new business opportunities and gain a competitive advantage within the automotive market.

IT involvement

Hiring a trustworthy RPA implementation partner could be critical to the success of your automation initiative. However, the result still lies within business owners’ responsibilities. Close cooperation between your tech partner and your internal IT department is required for smooth RPA solution rollout within the company’s infrastructure.

Focus on people

If an automotive organization goes for company-wide automation, it could result in significant personnel changes. Many members of your team will have to change their processes and adopt new work patterns. 

Therefore, your human resource managers should be involved in the automation project from the very beginning to coordinate employee retraining and facilitate the shift to new work processes. Moreover, RPA bots in HR practices can help human resource specialists to manage employees more effectively, facilitating employee performance management and analytics.

Want to improve your automotive processes?

Get in touch

Leading RPA platforms for the automobile industry

According to the Gartner Magic Quadrant for RPA 2022, multiple platforms could fit well into your automotive business. Here are the top three leading RPA platforms to consider:

Itransition’s long-term RPA partner, UiPath offers a leading hyperautomation platform, combining robotic process automation solutions with a suite of intelligent automation capabilities. The platform can fit large international organizations and SMBs. The platform's outstanding feature is a drag-and-drop interface, enabling users to build and set up automated processes.
Key features
  • Cloud delivery and API integration
  • Drag-and-drop interface and pre-built templates
  • Intelligent document processing
  • Integrated artificial intelligence (OCR, NLP, ML)
  • Low-code visual tools
  • Fit for multiple processes within the automation lifecycle
  • A powerful community
  • Numerous training and networking opportunities
  • Centralized compliance and governance
60-day free trial available

UiPath Automation Cloud
complete enterprise automation from the cloud with SaaS robots

UiPath Automation Suite
a cloud-native UiPath Platform delivered as a single, containerized suite

Another long-term leader in intelligent automation, Blue Prism's RPA platform can help automotive companies to improve the efficiency and accuracy of their workflows, speeding up supply chain management, logistics, and other operations.
Key features
  • Plug-and-play access
  • A robust execution engine
  • Built-in AI technologies (OCR, NLP)
  • Ready-to-use solutions
  • Easy integrations through multiple connectors
  • A visual process designer
  • Advanced analytics
  • An enterprise-grade security
  • Digital automation expert support
30-day free trial available

SS&C Blue Prism Cloud
fully managed and hosted SaaS solution

SS&C Enterprise
scalable and secure intelligent automation platform

Digital Exchange (DX)
a technology marketplace with more than 2,000 ready-made automation components

Robotic operating model (ROM2)
an intelligent automation implementation methodology, facilitating integrations with other technologies

Automation Anywhere’s RPA platform, Automation 360, is a cloud-native end-to-end intelligent platform, allowing automotive businesses to automate various business processes and deliver AI-powered capabilities to enable hyperautomation.
Key features
  • 1,200+ pre-built bots, packages, and digital workers
  • Capability to work with both modern and legacy software
  • Multi-layered security and governance
  • Macro recorder that builds task logic without sequential actions programming
  • Task scheduler
  • Single-click web data extraction
  • Reduced setup, bot creation, and deployment time
  • Broad partner ecosystem
  • Free community edition with learning resources
Demo available upon request

Automation 360 is available for public cloud, private cloud, hybrid or on-premise deployment

Benefits of implementing RPA

The most praised benefits of implementing robotic process automation solutions include greater workforce efficiency, increased revenue, and lower reliance on manual activities. Moreover, it is relatively easy to implement and can bring quick ROI. What else makes RPA bots a technology of choice for your digital transformation?

Lower costs
Software robots can take up numerous work processes that are currently done manually by human employees. According to McKinsey, automation can lead to an average of 30% cost savings within five years after implementation.

Faster service
RPA bots can complete processes that once took several days within minutes. The significantly accelerated pace of processes’ execution can improve customer service and enhance user experience and satisfaction.

Enhanced flexibility
Unlike humans, RPA bots can operate 24/7 and scale up or down upon demand, increasing operational flexibility. Robotic process automation allows automotive companies to stay agile and gain a competitive advantage.

Better quality, fewer mistakes
Automation can transform the quality of multiple processes within the automotive business, including order processing, several accounting and customer management operations, regulatory compliance, and reporting, reducing the rate of human errors almost to zero.

Valuable insights
Automotive companies can significantly extend the scope of their RPA solutions by augmenting them with AI/ML and tapping into data-driven decision-making. The leading RPA platforms, including UiPath and Automation Anywhere, widely implement intelligent process automation (IPA).


RPA implementation challenges and solutions



Vendor choice


The abundance of RPA software platforms makes it difficult to assess all their distinctive features and choose the one that best fits your automotive business.



Usually, automotive companies don’t have experienced automation specialists in-house. Therefore, they delegate assessing various RPA platforms and finding the necessary one to a hired automation implementation partner, like Itransition. With vast experience handling numerous RPA projects, we can thoroughly analyze your company’s needs and offer the optimal solution.

Technical challenges


RPA bots require regular upgrades, maintenance, and configuration checks. Besides, hundreds of implemented software robots represent another layer of IT infrastructure, demanding oversight by an IT department.



Even if you opt for a platform-based off-the-shelf RPA solution, you’ll need enough skilled tech specialists to support and maintain its stable performance, manage licenses, and communicate with the RPA platform vendors. Your RPA implementation partner can cover these tasks, freeing you from all the technical issues.

Change management


RPA adoption brings a new set of responsibilities for all the users affected by new automated processes. If your team is not ready for workflow changes, it can cause frustration, dissatisfaction, and resistance to change habitual routines.



Successful RPA adoption and sustainable operation require commitment and collaboration from an entire automotive organization. A clear vision of how to manage the automation at scale and distribute responsibility is a critical step before launching RPA tools.

Results assessment


Striving for quick wins, business owners can overlook some significant opportunities. Feeling pressed to showcase the immediate benefits, they can focus on less critical but easier-to-implement use cases for the RPA adoption, missing the longer-term vision.



To get the best results from the automation initiative, automotive companies should elaborate an overall strategy capturing the potential value that can be reached by automating large processes. Sustainable results, including operational cost savings, typically require a fundamental organizational transformation.

Automate your automotive business

Automate your automotive business

Robotic process automation can transform multiple processes and digital operations in different business sectors, including automotive. Similarly to industrial robots improving the performance of vehicle assembly lines, RPA bots can handle multiple digital functions vital for automotive business growth. Like any digital transformation initiative, RPA requires a solid implementation strategy and dedicated experts who will take on the project, lead it to a successful rollout, and guarantee its support and maintenance. Itransition’s RPA Center of Excellence is always ready to build unique robotic process automation tools for your organization and help you increase the ROI of your automation project.

Automate your automotive business

Transform your workflows with RPA

Get a quote


Should automotive companies replace their legacy software to implement RPA bots?

The level of transformational changes, including the use of legacy software, is discussed separately for each automation project, taking into account the requirements of a particular business. However, RPA is considered non-invasive and can be integrated with automotive software in place.

Can RPA bots work 100% automatically without requiring human supervision and decision-making?

There are different kinds of RPA bots, including unattended, attended, and hybrid robots. The level of human intervention and supervision depends on particular tasks they fulfill and particular use cases within your business workflows.

RPA in finance:
10 use cases, benefits, and challenges


RPA in finance: 10 use cases, benefits, and challenges

Learn how RPA can help financial institutions streamline their operations and increase efficiency. Explore RPA challenges and get some implementation tips.

RPA in healthcare:
use cases, benefits, and challenges


RPA in healthcare: use cases, benefits, and challenges

Learn how robotic process automation streamlines processes in the healthcare industry and improves care delivery. Explore top RPA vendors, use cases, and costs.

RPA in real estate:
10 use cases and best practices


RPA in real estate: 10 use cases and best practices

Explore robotic process automation applications, adoption guidelines and challenges in real estate management. View the best RPA platforms on the market.

RPA in insurance:
10 use cases and adoption guidelines


RPA in insurance: 10 use cases and adoption guidelines

Discover RPA’s applications, pay-offs, recommended platforms, best practices, and challenges in the insurance industry.

Robotic process automation:
end-to-end RPA services for your business


Robotic process automation: end-to-end RPA services for your business

Robotic process automation transforms business processes across multiple industries and business functions. Implement RPA with a trustworthy partner.

AI in the automotive industry: 20 use cases and examples


AI in the automotive industry: 20 use cases and examples

Learn how artificial intelligence transforms modern automobiles and discover over 20 use cases and real-life examples of AI in automotive.

Automotive software development:

our services & solutions


Automotive software development:
 our services & solutions

Itransition develops solutions for automotive companies to optimize their dealership, manufacturing, and logistics processes, as well as software for vehicles.