When enterprise applications gain the agility of
Customer and Trade Experience Transformation
Transform Trade and Customer Service Experience with digital touchpoints, analytics, AI, and automation.
Intelligent Business Process Automation
Streamline business and support functions (Procurement, HR, IT, Finance) with Robotic Process Automation (RPA) and Artificial Intelligence (AI).
CPG is a process heavy industry requiring high operational efficiency and effective investment protection. Our process automation solutions for the industry are targeted towards bringing the flexibility of processes and reducing complexities by simplifying work. Having served multiple CPG clients across the globe, some of our major automation highlights come from this industry. With a collaborated view of accentuating the solution and enhancing the experience quotient, we have built multiple value modelers that will help accelerate the time to value for automation.
CPG-Retail Automation Playbook – ready reference guide to exploring high automation propensity areas yielding huge benefits to clients
Comprehensive Process Catalogues built as part of extensive enterprise-wide scans
Easy reference demos showcasing automation ‘touch and feel’ over key high yielding processes
‘Tune-n-Deploy’ ready bots for faster time to production
Modernize Enterprise Application as Digital Core
Transform the ERP landscape to unleash enterprise data and transactions, connect with operations and customer experience, to support business innovation.
Digital Workplace Experience
Enhance the end-user experience and business productivity at lower TCO through transformation driven by the Intelligent Digital Workplace Platform.
Next-Gen Application Development and Maintenance (ADM)
End-to-end application development and maintenance solutions that deliver measurable business value with innovation, agility, automation, and industrialization.
Infrastructure Management and Enterprise Cloud Services
Drive efficiency and value creation by implementing automation, orchestration, and machine learning with a shared service model.
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