Walmart-owned Flipkart is deepening its artificial intelligence strategy by developing specialised e-commerce large language models (LLMs), with AI now generating nearly 40% of the company’s software code. The move highlights the growing role of AI as a core operating layer in modern commerce platforms.
India’s e-commerce giant has deployed more than 250 AI models across its ecosystem, according to Chief Product and Technology Officer Balaji Thiagarajan. The company is integrating AI across customer experiences, seller services, engineering processes, and operational workflows, positioning itself at the forefront of AI-driven retail innovation.
Speaking to Moneycontrol, Thiagarajan revealed that approximately 35–40% of Flipkart’s software code is already being generated by AI-powered tools. The company is also building what it describes as an “agentic e-commerce platform,” combining frontier AI technologies with proprietary models tailored specifically for commerce use cases.
How Flipkart Is Applying AI Across Its E-Commerce Ecosystem
Flipkart believes its long-term competitive advantage will come from specialised e-commerce models trained on its own data and operational expertise rather than relying solely on general-purpose AI systems. The company is using AI to enhance product discovery, conversational shopping experiences, catalogue enrichment, seller tools, customer support, and internal productivity systems.
Among its AI-powered initiatives is Seller Lens, a platform that helps merchants manage and grow their businesses through AI-driven insights. Flipkart is also deploying voice-based AI agents that currently make around 90,000 personalised calls each month to sellers for payment reminders, operational updates, and business recommendations. The company expects these volumes to increase significantly in the future.
To accelerate its AI transformation, Flipkart has strengthened its leadership team by recruiting senior executives from companies including Amazon, Coupang, Tata Digital, Razorpay, Swiggy, and Mastercard. The hires span engineering, product, supply chain, and data science functions, reflecting the company’s ambition to scale AI capabilities across the organisation.
Despite the substantial investments required for generative AI, Flipkart says its current priority is governance rather than immediate financial returns. The company is focusing on areas such as content moderation, response quality, human oversight, and reinforcement learning while measuring success through business metrics including conversion rates, customer engagement, basket sizes, demand forecasting accuracy, and inventory performance.
Flipkart’s AI push comes amid intensifying competition across the global e-commerce sector, where retailers are increasingly adopting artificial intelligence to improve efficiency, personalise shopping experiences, and automate operations. The company’s strategy signals a broader industry shift toward specialised, domain-specific AI systems that can reshape how commerce platforms are built and operated in the years ahead.
Source: Moneycontrol
