Nagarro's Rahul Mahajan contends that artificial intelligence's transformative effect on retail is fundamentally architectural rather than tied to individual models (RetailNews.ai). He argues that AI enables SKU-level demand forecasting, allowing retailers to adapt models to the signals most relevant to each product—accounting for historical sales, promotions, seasonality, competitor pricing, marketplace activity, and influencer discussions (RetailNews.ai). Generative and agentic systems can also let employees query systems in natural language, asking questions such as which SKUs are aging in a region and receiving AI-suggested actions like promotional strategies (RetailNews.ai).
The more significant shift, Mahajan argues, moves beyond operational efficiency to ecosystem orchestration (RetailNews.ai). Rather than transactional cross-selling, retailers should position themselves as orchestrators of products and external services aligned with what customers are trying to achieve—such as a pharmacy expanding into wellness and lifestyle support (RetailNews.ai). Agentic AI can adapt at runtime to connect new ecosystem partners without hard-coding workflows, while knowledge graphs, vectorization, and semantic layers make organizational knowledge accessible through language (RetailNews.ai).
Mahajan emphasizes that durable competitive advantage resides in proprietary data, governance, and semantic architecture rather than in any single AI model provider (RetailNews.ai). AI governance must encompass observability, model and data versioning, lineage, access rights, privacy compliance, and brand voice consistency (RetailNews.ai). Nagarro, which reported 999.3 million euros in revenue for FY2025 and 18,003 professionals as of December 31, 2025, frames its strategy around what it calls Fluidic Intelligence, an operating concept built on closer collaboration between people and AI (RetailNews.ai).