AI-Powered Salesforce Development Achieves National Best-Seller Status In India

Ravichandra Mulpuri's book, AI-Powered Salesforce Development, has achieved national best-seller status in India. The publication is praised for merging AI concepts with practical Salesforce applications, making it essential for developers and industry professionals.

PhDIANS Publications is proud to announce that the groundbreaking book “AI-Powered Salesforce Development: From Apex to Einstein Copilot”, authored by Mr. Ravichandra Mulpuri, has officially achieved national best-seller status across India. The book has taken center stage at major Indian Book Fairs in 2025, becoming one of the most discussed and top-selling technology titles in recent years. The book’s remarkable success is reflected in its record-breaking sales across major cities. At the Bangalore Book Fair, the title sold 519 copies, making it one of the most purchased technical books of the event. In Pune, the book recorded an impressive 423 copies sold, followed by 319 units in Ahmedabad and 267 copies in Kolkata, capturing strong interest from both the developer community and the academic sector. In total, over 1,500 units were sold through PhDIANS’ flagship outlets in Bangalore, further solidifying the book’s position as one of India’s top-performing technology publications of 2025.

Authored by Ravichandra Mulpuri, a thought leader in AI-driven CRM and enterprise automation, the book explores the transformation of Salesforce development in the age of artificial intelligence. It takes readers on a journey from traditional Apex coding practices to the integration of Salesforce Einstein Copilot, an AI assistant reshaping how businesses interact with data and customers. Through detailed explanations, real-world applications, and innovative workflow designs, Mulpuri provides developers and architects with a roadmap to build intelligent, predictive, and self-optimizing Salesforce environments.

What sets “AI-Powered Salesforce Development: From Apex to Einstein Copilot” apart is its ability to merge theory with real-world practice. Each chapter blends the technical foundations of Apex, Lightning components, and data modeling with advanced AI principles such as natural language processing, predictive analytics, and adaptive automation. Readers gain both conceptual understanding and actionable frameworks that can be directly implemented in enterprise environments.

Speaking about his inspiration behind the book, Ravichandra Mulpuri shared, “This book represents the convergence of human ingenuity and artificial intelligence — where every developer becomes an innovator. My goal was to make AI-driven Salesforce development accessible, impactful, and future-ready for every professional in the CRM ecosystem.”

The book has received widespread praise from developers, cloud architects, and IT educators across India. It has been adopted by several institutions as a reference material for workshops and professional certification programs focusing on AI and Salesforce integration. Industry professionals have lauded the book’s clear structure, practical examples, and futuristic outlook, making it a must-have guide for those aspiring to master Salesforce automation in the AI era.

PhDIANS Publications, known for championing research-based and industry-relevant titles, continues its mission to promote academic and professional excellence. With a growing catalog of books in emerging technologies, innovation, and scientific advancements, PhDIANS has become a trusted name for educators, researchers, and industry professionals alike. The success of this publication underscores PhDIANS’ commitment to empowering learners and professionals through high-impact knowledge resources.

“AI-Powered Salesforce Development: From Apex to Einstein Copilot” is available through PhDIANS outlets and select distribution partners across India. Readers can also connect with PhDIANS for institutional bulk orders, educational partnerships, and author events. The book is also available on amazon kindle.

-PhDians Press Release