India achieved a historic milestone in February 2026 by hosting the world's largest AI summit with 300,000 participants, over 100 country delegations, and heads of state from across the world in New Delhi. Prime Minister Modi described AI as a "transformative power" that becomes a solution when given the right direction, but warned it becomes a disruption when left directionless. However, as reported by ETCIO, this global leadership moment now presents a critical challenge for Indian enterprises - a data infrastructure gap that prevents AI systems from delivering consistent, trustworthy results. Despite most organisations having data governance policies on paper, the reality is that these policies are not enforced in real-time across cloud and on-prem environments at the speed AI systems operate.
India's retail market has achieved significant milestones, with the e-commerce sector now ranking as the world's third-largest market. According to reports, the retail market surpassed ₹1.06 trillion in 2024 and is projected to reach ₹1.93 trillion by 2030. The organised offline retail segment was valued at ₹751 billion in FY2023 and is expected to double by FY2031. Physical retail continues to expand with reseller leasing surging 65% year-on-year across India's top seven cities in Q3 2025, while major metros are expected to add 16.6 million square feet of mall space by the end of 2026.
Despite impressive growth numbers, retailers face a critical challenge in understanding customer behavior beyond initial purchases. As reported, retail leaders often lack comprehensive data on second-time customer purchases, retention rates, and first-time buyer conversion. This gap in customer intelligence has become a major obstacle to sustainable growth, with industry experts noting that growth in stores without growth in consumer understanding is just expensive square footage. The challenge is particularly significant as India's D2C market crossed ₹80 billion in 2024, with digital-first brands opening physical stores and traditional retailers building stronger digital experiences.
Several policy developments are creating new opportunities while intensifying the need for customer intelligence. According to reports, the India-EU Free Trade Agreement is expected to increase availability of premium Indian products across apparel, footwear, textiles and jewellery categories, while GST reforms have reduced rates across multiple product categories. The Production Linked Incentive (PLI) scheme has boosted domestic manufacturing, creating stronger pipelines for organised retail. However, these developments are generating increased demand that retailers must convert into long-term customer relationships rather than inventory challenges.
A significant missed opportunity exists in organised retail immediately after purchase completion. As reported, customers receive paper receipts or digital bills that often contain lost information about preferences, purchase patterns and future buying behavior. With UPI recording 185.8 billion transactions in FY2025 and smartphone penetration crossing 880 million users, the digital infrastructure exists for smarter consumer engagement. Platforms such as Billfree are developing solutions that replace traditional receipts with digital bills containing personalised offers, feedback requests, reorder reminders and loyalty incentives, creating consumer intelligence layers for retailers to track buying patterns and engagement. However, these initiatives face the broader challenge of poor data quality and outdated governance frameworks that prevent AI systems from delivering reliable results.
Industry experts emphasize that the next phase of retail growth will depend on consumer intelligence rather than traditional metrics. According to reports, retaining existing customers costs less than acquiring new ones, yet marketing budgets remain heavily focused on acquisition through advertising and promotions. The emergence of Gen Z consumers, expected to account for 43% of India's total consumption, values personalised experiences over traditional loyalty programmes. As noted by industry leaders, retailers who treat every transaction as the beginning of a relationship gain competitive advantages over those who treat it as the end, with the journey to customer retention beginning after the initial sale. However, this strategy faces the critical challenge of data governance infrastructure gaps that prevent AI systems from delivering consistent, trustworthy results.
