AI Retail Insights from Shopping Data

Discover how AI in retail is transforming Indian shopping with insights, automation, and Glance AI integration that make shopping smarter and seamless.

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Jun 25, 2025 - 14:58

Jul 1, 2025 - 14:43

AI in retail is at the heart of a sweeping transformation in Indias shopping landscape, with 2025 set to be a defining year for technology-driven change.

The surge of AI and automation, combined with digital-first consumer behaviour and the rise of quick-commerce and ONDC, is enabling Indian retailers to deliver unprecedented efficiency, personalisation, and customer-centricity. Retailers are leveraging AI to optimise everything from supply chains and inventory to customer engagement and in-store experiences, responding to the demands of a young, urban, and digitally savvy population.

AI in retail isn't just about flashy algorithmsits about intelligent systems that can crunch thousands of data points and turn them into meaningful strategies for growth. Whether its knowing when a product is trending, or predicting whats going to be hot during the next festival season, AI-powered retail insights are making businesses more responsive, and ultimately, more human.

How AI in Retail Unlocks Actionable Insights from Shopping Data

Hyper-Personalisation

AI analyses massive volumes of shopping databrowsing history, purchase patterns, and even social media behaviourto deliver tailored recommendations, offers, and content to each customer. For example, Indian e-retailers are using AI to suggest region-specific festive collections or climate-appropriate products, driving higher engagement and conversion rates.

This level of personalisation goes beyond simple filters or past purchase behaviour. AI now includes real-time feedback, emotion recognition from user inputs, and even voice search trends to fine-tune results.

Supply Chain and Inventory Optimisation

AI-driven analytics predict demand spikes (e.g., during Diwali or Big Billion Days), automate reordering, and optimise logistics hubs, helping retailers keep shelves stocked and reduce waste. Some platforms even use machine learning models to map logistics routes dynamically based on local traffic, weather, and vendor schedules.

Unified Commerce

By integrating data from online and offline channels, AI enables seamless shopping journeyswhether a customer starts browsing on a website, checks product availability in-store, or completes the purchase via a mobile app. This unified approach is crucial as Indias digital spending fragments across marketplaces, brand sites, and delivery apps.

For retailers, this means no more guesswork about how consumers behave across platforms. With AI-powered retail insights, brands can identify the best performing sales channels, understand why a cart is abandoned, and tailor communication to re-engage shoppers.

Virtual Shopping Assistants

AI-powered chatbots and agents are becoming virtual personal shoppers, helping Indian consumers discover products, answer queries, and even assist in-store associates with real-time recommendations. During Cyber Week 2024, AI agents drove $60 billion in online sales globally, showcasing their growing impact.

For smaller retailers and D2C brands, this is a game changer. A well-trained AI assistant is now within budget, scalable, and trainable on specific product catalogues.

Retail Media and In-Store Tech

AI is powering interactive displays, digital signage, and smart checkout systems that suggest add-ons or promotions based on real-time purchase data, bridging the gap between digital and physical retail.

These experiences are no longer limited to metropolitan flagships. Thanks to modular tech and smartphone integrations, regional stores can now access the same AI capabilities as global chains.

Indian Market Trends and Real-World Use Cases

Tier-2 and Tier-3 City Growth

Three in five new Indian e-retail shoppers since 2020 come from smaller cities, with AI unlocking access to personalised shopping and brand discovery for consumers in remote areas. AI tools are being fine-tuned to recognise local dialects, fashion preferences, and even climate trends.

Category Expansion

High-frequency categories like grocery, lifestyle, and general merchandise are seeing rapid e-retail penetration, with AI helping retailers understand local preferences and optimise assortments. From sourcing seasonal vegetables to curating Ayurvedic wellness kits, AIs adaptability is impressive.

GenAI and Profitability

Retail investments in AI are projected to soar to $31 billion by 2028, with GenAI expected to boost sector profitability by up to 20%. Over 71% of Indian retailers are preparing for AI adoption, signalling a transformative era. Generative AI is especially popular in content creationauto-generating product descriptions, style guides, and influencer scripts.

Consumer Empowerment

Despite rapid digitalisation, 29% of Indian consumers still feel underserved. AI in retail is helping bridge this gap by delivering more relevant, timely, and personalised experiencesbuilding trust and loyalty.

And its not all futuristic. Even simple interventionslike automatically translating return policies or product sizes into regional languagesare driven by AI today.

Expert Commentary & Industry Insights

Gen AI is not just a technological leap; it's a seismic shift in how retailers adapt, innovate, and enhance customer experiences. With 71% gearing up for adoption, it's clear that the retail landscape is on the brink of a transformative era.
Angshuman Bhattacharya, National Leader, Consumer Product and Retail Sector, EY India

When retailers connect their sales channels, customer data, and operations in one platform, they create seamless shopping experiences both online and in-store. This unified approach boosts productivity and drives growth throughout the business.
Michelle Grant, Director of Retail Strategy and Insights, Salesforce

The ability to transform raw data into actionable, real-time decisions is what separates modern retail leaders from the rest. AI-powered retail insights are no longer a luxurytheyre a competitive necessity.
Neha Kapoor, Retail Tech Analyst, India Commerce Review

Glance AIs Role in Retail AI

Glance AI, Indias leading lock screen content discovery platform, is harnessing the power of AI in retail to deliver real-time, hyper-personalised shopping inspiration directly to users mobile screens.

By analysing user behaviour and preferences, Glance AI curates shoppable content and product recommendations, making the journey from discovery to purchase frictionless and engagingespecially for Indias mobile-first consumers.

Unlike traditional recommendation engines, Glance AI delivers inspiration without needing a search query. Whether you're checking the time or unlocking your phone, AI-powered retail insights are quietly working behind the scenes to surface something youre likely to love.

And with the Glance retail interface built into millions of devices, its creating retail moments that are spontaneous yet data-driven. This makes Glance AI a critical part of the new AI in retail ecosystem.

Key Takeaways for Blog Integration

AI in retail is driving Indias shift toward efficiency, personalisation, and unified commerce, powered by actionable insights from vast shopping data.
From supply chain optimisation to virtual shopping assistants and in-store tech, AI is enhancing every touchpoint in the retail journey.
Platforms like Glance AI are at the forefront, bridging inspiration and action for Indian consumersturning every screen into a gateway for smarter, more satisfying retail experiences.
With tools like the Glance retail interface, AI shopping becomes intuitive, accessible, and delightfully human.