Dr Anshu Jalora
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    Subject Matter Expert

    Dr Anshu Jalora

    Founder & CTO

    Location
    Mumbai, India

    About Dr

    Dr. Anshu Jalora is a pricing scientist, technology founder, and automated system architect with over 25 years of experience spearheading pricing transformations across global brands and complex distribution networks. As the Founder and CTO of ZettaRMS and Sciative Solutions, he specializes in building next-generation, AI-powered price optimization systems that remove human error and revenue leakages from commercial operations. Holding a Ph.D. in Pricing and Revenue Management along with a patent in pricing and forecasting technology, Dr. Jalora bridges the gap between deep mathematical modeling and operational execution, helping businesses transition from reactive manual pricing to high-yield automated environments.

    Professional Experience

    Dr. Jalora’s career has focused directly on the exact point where human math reaches its limits and automated systems become necessary to protect profitability. He began his specialized career as a Pricing Scientist at PROS Revenue Management, designing analytical frameworks and corporate software products, before advancing to lead complex pricing operations for multi-billion-dollar global brands like Overstock.com and Starbucks Coffee Company. At Starbucks, he engineered data-driven pricing policies that delivered over $100 million in incremental contribution margin, and he later spearheaded corporate price optimization initiatives within the Chairman’s office at Reliance. Through his current leadership at ZettaRMS and Sciative Solutions, he has pioneered commercial-grade dynamic pricing tools across the travel, hospitality, and entertainment sectors. His deep technical understanding of data architectures allows him to speak with absolute clarity to hospitality operators about the exact point where spreadsheet calculations break down under market volatility and automated Revenue Management Systems (RMS) begin to pay for themselves.

    Key Achievements

    • Founder and CTO of ZettaRMS, a dedicated platform launched to simplify automated revenue management systems.

    • Founder and CTO of Sciative Solutions, delivering AI-powered dynamic pricing and price optimization solutions across the travel and hospitality sectors.

    • Co-author and holder of a US patent in Pricing and Forecasting software.

    • Former Director of Pricing Strategy at Starbucks Coffee Company, where he managed the pricing architecture for a $7+ billion business and secured over $100 million in incremental margin.

    • Former Director of Pricing at Overstock.com, orchestrating commercial revenue and yield strategies for a $1 billion e-commerce enterprise.

    • Former Senior Pricing Scientist at PROS Revenue Management, focusing on the conceptualization and deployment of enterprise revenue optimization tools

    • Earned a Ph.D. in Pricing and Revenue Management from Texas A&M University and a Bachelor of Technology (B.Tech) from the Indian Institute of Technology (IIT), Delhi.

    • Published Author of over 17 international publications and research papers examining empirical pricing dynamics and market behavior.

    • TEDx Speaker | How data & AI shape dynamic pricing and what we buy 

    • Faculty Member, Pricing Professional Society (PPS) Certified Pricing Professional (CPP) Program

    • ⁠Guest speaker on Dynamic Pricing and Revenue Management at IIM Lucknow

    How they are associated

    Dr. Jalora’s association with REVacademy as a subject matter expert provides independent hotel owners, small groups, and GMs with rare access to enterprise-grade pricing science stripped of corporate complexity. Independent hospitality operators often rely on manual rate adjustments due to perceived software costs or a lack of trust in automated algorithms. Because Dr. Jalora has spent decades building pricing tools from scratch and measuring their direct financial returns, he acts as an objective advisor for lean hospitality teams. His expertise helps commercial leaders evaluate their own operational data, identify invisible revenue losses caused by manual lag times, and confidently calculate the exact return on investment of deploying an automated RMS.

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