A leading used car selling company partnered with Maruti Techlabs and deployed RPA to augment operational performance and circumvent human errors–empowering the transition from an 8-hour day to a 24-hour day–with no increase in overall headcount. Existing staff are also no longer confined to carrying out mundane repetitive tasks and instead focus on executing higher value work–while having the capacity to enhance their customer experience too.
Maruti Techlabs’ client, a leading US based used car selling company, that offers a nationwide modern car selling service, facilitates sellers with an instant offer for their car(s) by asking a few questions about its condition using real-time bids from an extensive network of licensed buyers.
The client needed to improve their ability to accurately counter bid within auctions on auction website. The processes were manual, slow and often prone to human error as well as inaccuracies.
Agents would manually take actions on cars that are available on auction website for counter bidding on offered price or re-running the auction. These myriad of processes involved logging into the seller portal on auction website, navigating across web pages and applying relevant filters to get a status update of each car on the live auction.
Along with this, the agents were manually using disparate applications that suggest the right value to bid against each car. This required copy pasting values across different applications and wait for back-end logic to calculate and generate the suggested value. That apart, agents would also have to cross verify and manually validate the values across different applications at each part of the process.
Given the nature of these structured, transactional and manual processes, the client partnered with Maruti Techlabs to design, develop and reimagine where automation or a “robotized” process could impact the business the most to reduce inefficiencies and time, while increasing revenue.
With Maruti Techlabs’ domain expertise in Automotive, operational experience and capability around end-to-end process optimization with automation, evaluation of the auction bidding process highlighted that -
In order for the bot to deal with unstructured data on the auction website, a siloed solution would have to be setup which would be specifically for the auction bidding process and not cross organizational. An attended bot, would then give a high degree of predictable output with reduced human error and more efficiency.
The client was able to evaluate the potential of robotic process automation during a quick proof of concept. The Business and IT teams explored a myriad of tools and focused on their capabilities.
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