Success Story

Services:

Leveraged RPA Bots for Enhanced Process Efficiency and Scalability to Attain Optimized Output

Media & Advertising

Posted On: 21 March, 2024

Is ranked among the top 5 media agencies globally with $60B+ in annual media spend
Is focused on creating, integrating, and seamlessly scaling intelligent and imaginative technology-enabled services and solutions with premium partners such as Google, Meta and Amazon
Specializes in providing IT products and services for the media advertising industry

Identify and digitally transform time-consuming and erroneous critical business processes
Optimize costs and reduce dependency on third-party services/applications to scan and/or type documents sent via postage/email
Simplify and streamline the process of extracting and printing vendor invoices for the employees
Automate various tasks such as uploading information to the central billing system and collecting and combining budget rollups
Optimize the manual tagging process for invoices to be more efficient
Scale and maintain bots to match the work requirements

Used innovative in-house smart solutions to reduce dependency on third-party solutions
Automated billing, invoicing, and budget tracking workflows to increase efficiency and reduce the labor-intensive and time-consuming tasks
Automated data insertion into the client system while logging and highlighting non-taggable scenarios for an accurate and streamlined process
Built an ‘Automation Operations Center’ to support and scale automation, ensure best practice implementation, and provide proactive and reactive support via ticketing
Set up a team responsible for day-to-day operational effectiveness, including support and maintenance of existing Bots

Processed 1000+ emails daily, reducing the processing time from 80 hours to 10 hours
Minimized dependency on third-party programs and costs incurred on the use of AI/ML by preprocessing invoice data
Optimized budget rollup processing time from 1 month to 6 hours
Reduced the manifest creation and PDF stamping process time from 10-person hours to 30 minutes
Eliminated human-bound errors substantially for a more reliable process
Implemented a mechanism to process over 2000 transactions per day accurately and swiftly and reduced processing time by 80%