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Webinar: Workload Management Automation: A Retail & CPG Company Case Study

Some of the biggest challenges experienced by major retail and CPG brands are legacy automation systems and bots that can bring serious issues with stability, performance and scalability – instead of simplifying processes. This was the case for one of EPAM’s clients – a leading global sports brand stuck with legacy systems that were hampering increased revenue.

Thankfully, a new, successful approach to intelligent automation has emerged – a high-performing, scalable solution based on Automation Anywhere’s workload management capabilities.

EPAM expert Armen Gevorkian shares how Automation Anywhere’s solution solved the sports brand’s problem in this case study. Explore different use cases during the session to better understand how intelligent automation in workload management can add value to your business.

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MEET THE SPEAKERS

ARMEN GEVORKIAN
Head of Intelligent Automation Solution Consultancy, EPAM

As the leader of EPAM’s Intelligent Automation practice in EMEA, Armen has more than 15 years of experience in business process optimization orchestration and automation. The practice’s extensive technology portfolio includes RPA, BPM and versos mining solutions, as well as API and intelligent document processing. Armen is pragmatic in his approach to technology, but remains in constant search of new, innovative methods and solutions that can bring genuine value to customers.

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SIMON VASQUEZ GUTIERREZ
Partner Solutions Lead, Automation Anywhere

Simon has more than five years of experience in process optimization using RPA and AI technologies and eight years of consulting practices. He has helped clients to realize millions of dollars in benefits across different industries, such as healthcare, BFSI, travel and the public sector. He is responsible of creating strategies that make value-based and impactful engagements to the client while increasing the annual recurrent revenue generated for them and their companies. He specializes in cognitive and intelligent automation democratization with the use of AARI.

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