Intelligent RPA Delivered 840% ROI and $250K Savings
An RPA solution automated auction bidding, increased transaction speed by 81%, and freed 9.8K hours annually.
At a Glance
The client needed to streamline manual auction bidding activities, reduce errors, and process high volumes without increasing headcount. Maruti Techlabs designed and deployed an RPA solution that connected auction platforms with backend bidding logic.
Industry
Automotive
Function
Process Automation
Solution
RPA for Auction Bidding
Engagement
RPA Development
The Client
Our client is a leading US-based used car selling company that operates a nationwide car-selling service. Its platform provides sellers with instant offers based on vehicle condition and real-time bids from a network of licensed buyers.
The Challenges
Manual Auction Work Limited Speed and Accuracy
Auction bidding involved several repetitive activities across web portals and separate applications. Agents had to gather vehicle information, calculate bid values, validate results, and take action manually.
Auction Monitoring Was Manual
Agents logged into auction portals, navigated multiple pages, applied filters, and reviewed vehicle statuses individually.
Bid Values Came From Multiple Systems
Agents copied information between applications and waited for backend calculations before obtaining the recommended bid amount.
Repeated Validation Increased Effort
Agents had to cross-check vehicles and bid information across systems before proceeding to the next action.
High Volumes Created Operational Pressure
Managing more than 500,000 annual auctions required a scalable approach without adding to the existing team size.
Automate repetitive operational workflows and speed up transactions without expanding your workforce.
Replace manual handoffs with reliable digital processes built around your business rules.
The Solution
Automating the Auction Bidding Workflow
Maruti Techlabs evaluated the auction process and developed an RPA solution specifically for the client's bidding operations. The bot connected the auction website with backend APIs and executed predefined actions based on bidding logic.
The bot logged into the auction website, moved through relevant pages, applied filters, and identified vehicles requiring action.
The bot logged into the auction website, moved through relevant pages, applied filters, and identified vehicles requiring action.
The Journey
Manual to Automated
Business Outcomes
Faster Operations With Lower Costs
81% Faster Transactions
Automation increased overall transaction speed and efficiency across the implemented process.
64% Work Automated
RPA completely automated nearly two-thirds of the targeted workload.
9.8K Hours Freed Annually
The solution saved more than 9,800 hours of team effort each year for a team of eight agents.
$250K in Annual Savings
Reduced manual effort and operational overhead delivered significant recurring cost savings.
840% ROI
The automation initiative generated an 840% return on investment.
24-Hour Operations
Automation enabled the business to extend process execution beyond traditional working hours without increasing overall headcount.
Conclusion
The RPA implementation reduced repetitive manual work while enabling the existing team to handle a high volume of auction activity more efficiently.
Tech Stack
Streamline repetitive processes, reduce costs, and improve operational speed.
Connect existing systems and business rules to reduce manual effort.
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Frequently Asked Questions
Attended RPA works well when employees still need to make decisions or supervise exceptions while the bot handles repetitive system interactions. It can automate structured tasks without removing human oversight from workflows that require judgment.
RPA can interact with existing interfaces and use APIs where available, allowing organizations to automate workflows across older and newer systems without undertaking a full platform replacement.
The strongest candidates typically involve repetitive, rules-based activities performed frequently across multiple systems. Consider process volume, manual effort, error rates, system stability, and expected business value before automating.
An RPA PoC should demonstrate whether the selected technology can handle the target workflow reliably. It should also establish expected automation coverage, integration requirements, implementation effort, operational risks, and potential financial returns.
Automation can absorb repetitive transactional work while allowing existing employees to focus on exception handling, decision-making, and higher-value activities. This can increase operational capacity without requiring proportional workforce growth.
Organizations should track metrics such as processing speed, automation percentage, hours saved, error reduction, operating costs, transaction volumes, and ROI. Comparing these measures against the pre-automation baseline helps quantify the business impact.