Infogain brings decades of experience in implementing and customising CPQ solutions for large-scale enterprises across diverse industries. Our AI-enabled CPQ solutions are revolutionising Configure, Price, Quote (CPQ) implementation by streamlining processes, enhancing personalisation, and driving revenue growth. By analysing customer preferences, buying patterns, and historical data – we are enabling businesses to deliver personalized recommendations. Combined with dynamic, real-time configuration adjustments, these tailored suggestions reduce errors and improve the overall customer experience.

In this whitepaper, we explore the best strategies leveraging data for streamlining CPQ processes. These include:

  • Product configurations across global markets
  • Price negotiations in global contexts
  • Quoting processes
  • Leveraging GenAI for complex deal pricing diverse markets

Get this whitepaper today to know more.

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ABOUT THE AUTHORS

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Sambeet PatraSenior Vice President, Digital Engineering Studio

An out-of-the-box thinker and an engineer at heart, Sambeet brings 26+ years of experience helping enterprises innovate with technology. Over the years, he has led end-to-end digital transformation projects where he has helped clients ideate, conceptualize, and develop software solutions for revenue maximization, customer acquisition, and operational efficiency. He has been instrumental in setting up practices leveraging cutting-edge technology trends around cloud-native apps, modern data platforms, insight-driven apps, and DevOps/platform engineering. He brings deep experience in building solutions for domains like Logistics, E-commerce, Retail, and billing/payment processing. Sambeet currently leads the Digital Engineering studio at Infogain, focusing on building revenue-generating apps that leverage modern cloud computing, AI, and data trends.

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Rahul GaneshAssociate Vice President, Digital Engineering Studio

Rahul is a seasoned professional with over 20 years of expertise in Digital Engineering, specializing in application development and modernization. He has successfully led complex software initiatives across diverse industries, including technology, healthcare, retail, and insurance. With experience spanning services and product domains; Rahul is passionate about leveraging data-driven insights for effective enterprise tech debt management, through large scale portfolio rationalization and modernization. His current focus lies in harnessing the power of Generative AI to drive application modernization and innovating in areas like reverse engineering and forward engineering.

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