Nagarro’s Rahul Mahajan: AI Demand Planning, Knowledge Graphs & Humanized Personalization

How a €1 B digital‑engineering firm uses generative AI and agent tech to reinvent retail supply chains and CX.18 000 engineers, €1 B revenue, 50+ patents—Nagarro’s Global CTO Rahul Mahajan explains how generative AI, vector databases and knowledge graphs are reshaping demand planning and personalization at scale.⏱️ CHAPTERS00:00 Intro: product‑to‑service mind‑set 00:22 Meet Rahul Mahajan & Nagarro overview 01:17 Missed NRF meetings + digital engineering culture 02:35 Diversified industries & complex problem solving 03:35 Rahul’s 50+ patents in retail AI 04:58 CPG use case: multi‑channel demand planning 06:49 SKU‑level AI forecasting & supply chain accuracy 07:32 “Humanizing personalization” patent explained 08:20 Ecosystem shift: partner products & services 09:29 Agent tech & zero‑downtime integration 10:16 From transactions to lifestyle services 12:08 Patenting novel data structures & AI models 13:19 Knowledge graphs + vectorized semantics 14:24 AI governance: tone, privacy, explainability 15:14 LLM interoperability (OpenAI, Anthropic, Gemini) 16:32 Why retailers must move before they’re disrupted 17:13 Contact Rahul & closing 🔑 KEY STATS• 18 000 employees across 36 countries • €1 B revenue; listed in Frankfurt • >50 patents in AI, personalization & data science • New patent filed on “Humanizing Personalization” (2025) 👇 CONNECT • Nagarro ► https://nagarro.com • Rahul on LinkedIn ► [email protected] • Email ► [email protected]