Aswajit Mohapatra - Architect of AI-Driven Customer Experiences and Product Innovation

In an era where hyper-personalization defines retail success, Aswajit Mohapatra stands out as a visionary leader bridging AI-powered product recommendations, customer experience platforms, and strategic product frameworks. With over 20 years of experience consulting for global giants like Gap, Sephora, JCPenney, Costco, Albertsons Aswajit has redefined how brands leverage data, AI, and martech to create seamless, intuitive, and revenue-driving customer journeys. He worked on a variety of IT services Infosys & Tech Mahindra (IT services innovation), L&T (large-scale digital transformation) & Tredence (AI and advanced analytics) and in a position to leverage his rich experience for the next stage of growth in AI/ML and agentic revolution

Mastering the Science of Product Recommendations
Aswajit’s expertise in AI/ML-driven personalization has transformed ecommerce for Fortune 500 retailers. His work centers on:

• Intelligent Recommendation Engines: At JCPenney, he revamped the recommendation system using CDP (Customer Data Platform) integration, boosting engagement metrics like CTR and customer lifetime value (CLTV).
• Gen AI Innovations: Pioneered agentic AI models for real-time marketing automation, including an advanced speech-recognition tool for product interviews (Interview Buddy).
• Virtual Try-On Breakthroughs: Spearheaded beauty retail solutions like Virtual Makeup Try-On, addressing pain points like "self-validation" and "time-saving shopping," driving 34% higher conversions.

His approach, detailed in his Product Playbook, emphasizes aligning recommendations with customer pain points (e.g., "painkillers vs. vitamins") and North Star Metrics (e.g., "weekly purchases" for ecommerce).

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Building Future-Ready Customer Experience Platforms

Aswajit’s leadership in customer 360 platforms and martech automation has set industry benchmarks:

• CDP & Omnichannel Integration: At Tredence, he architected a medallion data architectureunifying 400+ ML metrics for Kroger’s merger, enhancing personalized ads and loyalty programs.
• AI-First Martech: For Gap, he integrated open-ranked recommender systems with generative AI, blending predictive analytics and behavioral segmentation.
• Ethical AI: At Meta, he championed privacy-first tooling, ensuring compliance with GDPR/CCPA while optimizing ad targeting.

His resume highlights a rare blend of technical depth (Python, LLMs, CDPs) and product strategy (OKRs, KPIs, agile roadmaps), enabling scalable, ethical AI deployments.

The Product Playbook: A Strategic Blueprint on the “Art of building AI/ML Products”

Aswajit’s Product Playbook distills his decades of experience into actionable frameworks:

1. Customer-Centric Pillars: His "4 Pillars of Product Strategy" (Customer, Product, Company, Competition) prioritize unmet needs—like his VTO case study for beauty retailers.
2. Value Proposition Design: Leveraging models like Osterwalder’s Canvas and Crossing the Chasmto articulate "why" a product wins.
3. Metrics That Matter: From acquisition-to-monetization dashboards to North Star Metrics (e.g., Spotify’s "time spent listening"), his playbook aligns teams around measurable growth.

"A product’s success hinges on solving real pain points, not just chasing trends," Aswajit notes. "My playbook is a toolkit to cut through noise and build strategically."

Why Aswajit’s Work Matters Now
Aswajit Mohapatra’s expertise in AI-driven product recommendations and customer experience platforms stems from his unique blend of technical mastery, strategic vision, and deep customer focus. Recently honored with the 'AI/ML Technical Excellence' award - presented by former Union Ministers of India at an event celebrating President APJ Abdul Kalam Azad's birthday - Aswajit continues to lead innovation in hyper-personalized solutions. For brands seeking to excel in this era of personalization, his insights and strategies serve as a blueprint for success.

With the AI-powered martech market projected to hit $40B by 2030, Aswajit’s innovations - hybrid AI architectures, privacy-compliant personalization, and agentic commerce - are shaping retail’s next frontier. His thought leadership extends to:

• Podcasts and Blogs: Exploring recommender systems (HackerNoon) and Gen AI ethics (Medium).
• Mentorship: Through GenerativeProduct.com, he trains PMs on AI/ML product-building.

AI is the future of commerce - Aswajit Mohapatra is building that future.

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