Deloitte-FICCI flags AI as a core operating layer for Indian retail and FMCG

A Deloitte India-FICCI report says retailers and FMCG companies are deploying AI across merchandising, pricing, inventory, demand forecasting, supply chains and customer engagement as connected commerce and health-led purchase decisions reshape the market.

— Source publishedTue, 4 Aug, 2026, 13:09 IST·First seen Tue, 4 Aug, 2026, 13:20 IST·Source Business Today · Latest

What happened

Deloitte India-FICCI says Indian retailers and FMCG firms are embedding AI in merchandising, pricing, inventory, demand forecasting, supply chains and customer

Key facts

  • India leads AI adoption among the world's top 15 countries
  • India's consumer economy is projected to approach US$1.9 trillion by 2030
  • 74% of consumers review ingredient or nutritional information before purchase
  • 63% choose products based on formulations and ingredients
  • 52% switch brands for better health and transparency credentials

Why this matters

Prioritize partnerships or acquisitions in retail AI, product-data management and health-credential technology that can integrate across core commerce and supply-chain workflows.

What to watch

  • Evidence of AI-linked reductions in stockouts, markdowns, working capital or promotion leakage in Indian retail earnings and case studies.
  • Major retailers standardizing real-time inventory visibility across stores, marketplaces, quick commerce and distributor channels.
  • FMCG adoption of structured ingredient, nutrition, provenance and health-claim data standards.
  • New Indian rules or enforcement affecting consumer-data consent, algorithmic pricing, labeling or health-related product claims.
  • Rising demand for AI implementation talent, retail data platforms and managed services relative to demand for stand-alone chatbot deployments.
  • Build a unified product, inventory, pricing and customer-data layer before expanding generative-AI use cases.
  • Prioritize measurable operating use cases: demand forecasting, replenishment, markdown optimization, promotion effectiveness and returns reduction.
  • Establish AI governance for pricing fairness, health-claim validation, customer consent, explainability and human override rights.
  • Require suppliers and distributors to improve SKU-level availability, product-attribute and sell-through data feeds.
  • Redesign merchant and category-manager roles around exception management rather than manual reporting and rule setting.