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AI and the Indian Shopper's Mind

How AI is reshaping how users discover, evaluate, and buy
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About

AI has entered the Indian shopping journey

Slowly but irreversibly 

How is AI actually changing the way Indians shop - not in theory, but in real shopping moments, real trust trade-offs, and real category behaviour?

We spent months immersed in the question. Consumer immersions. Expert interviews across the industry. The result is a report that goes beyond adoption statistics to map how AI is reshaping discovery, decision-making, and trust - and why that reshaping looks completely different depending on what you're buying.

Most conversations about AI and consumers stay at the surface: usage numbers, sentiment scores, generic "AI is changing everything" claims. We wanted to understand the texture underneath - how an Indian consumer's relationship with AI shifts when they're choosing a foundation shade versus a refrigerator, when they’re planning an upgrade versus shopping at the last minute, when they trust an algorithm's suggestion and when they instinctively push back on it.

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80% of shoppers who use AI still visit a retailer to validate their choice before buying. They don't leave to find something new. Instead, they leave to get an unbiased second opinion, then come back online to transact. Conversion happens, but trust never deepens on-platform.

There's a conversion leak, and no platform sits inside it

Users prompting for shortlists of electronics products turn to ChatGPT first, not the platform itself. The same is true in fashion - consumers describe their style to an LLM, then buy on a marketplace. Intelligence and transaction have come apart.

Discovery is happening off-platform

First-generation digital buyers in Tier 2 cities could leapfrog the keyword-search era entirely by going straight to voice. Whichever platform reaches them first earns a loyalty that's hard to displace later.

Tier 2 may skip straight to voice-first AI

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Highlights of the report

80% of shoppers who use AI still visit a retailer to validate their choice before buying. They don't leave to find something new. Instead, they leave to get an unbiased second opinion, then come back online to transact. Conversion happens, but trust never deepens on-platform.

There's a conversion leak, and no platform sits inside it

Users prompting for shortlists of electronics products turn to ChatGPT first, not the platform itself. The same is true in fashion - consumers describe their style to an LLM, then buy on a marketplace. Intelligence and transaction have come apart.

Discovery is happening off-platform

First-generation digital buyers in Tier 2 cities could leapfrog the keyword-search era entirely by going straight to voice. Whichever platform reaches them first earns a loyalty that's hard to displace later.

Tier 2 may skip straight to voice-first AI

Download an excerpt

What's inside the report?

Designed for teams making AI strategy decisions in 2026. Built using consumer immersions, expert intelligence, cultural analysis, and a comprehensive platform landscape review.

What's inside the report?

Designed for teams making AI strategy decisions in 2026. Built using consumer immersions, expert intelligence, cultural analysis, and a comprehensive platform landscape review.

Three ways to access the intelligence

FULL SYNDICATED REPORT
AI and the Indian Shopping Mind

The complete consumer-first map of AI's role in the Indian shopping journey

  • All three consumer cohorts
  • Four shopping occasions
  • Full journey stage analysis
  • Four category deep dives
  • Platform benchmarking
  • Tier 2 leapfrog
  • Way Forward innovation matrix and agentic horizon

Who it’s for: Insights, strategy, product, and marketing teams at ecommerce platforms, D2C brands, agencies, consultancies, and investors

Request the full report
QUICK COMMERCE EDITION
The Quick Commerce Edition

A focused read on how AI is reshaping the quick commerce occasion

  • Compressed journey analysis
  • Habit formation loop
  • Voice search as structural advantage
  • Competitive benchmarking - Blinkit vs Zepto vs Swiggy Instamart
  • Tier 2 quick commerce
  • The standing order horizon

Who it’s for: Teams at quick commerce platforms and brands with significant quick commerce presence

Request the QC edition
PLATFORM ADD-ON
Your platform. Your position. Your map.

A private, platform-specific section built around your AI position

  • Your AI performance across the four occasions
  • Consumer perception data specific to your features
  • Competitive benchmarking against your direct rivals
  • Prioritised innovation matrix
  • Private delivery before wider release

Who it’s for: Insights and strategy leads at named ecommerce, fashion/beauty, and quick commerce platforms

Request a preview

Who It’s For

Who this is for

  • Insights and strategy leaders at e-commerce, quick commerce, and D2C platforms navigating AI investment decisions
  • Product and growth teams building AI features and wanting to understand what consumers actually need from them
  • Brand and marketing strategists decoding how AI is changing the discovery and consideration journey
  • Agency planners and consultants advising clients on AI commerce strategy
  • Investors and venture funds tracking the AI commerce landscape in India

What it helps you do

  • Understand where your AI is earning consumer trust and where it's losing it to external LLMs
  • Map the competitive AI landscape across platform types and shopping occasions
  • Identify the conversion leak in your platform's AI journey  and what it would take to close it
  • Prioritise your AI investment with a fix, build, double down framework
  • Anticipate the agentic horizon - and position your platform on the right side of it

Meet the experts
Meet the experts

Partner with us

Our research on AI and the AI and the Indian Shopper’s Mind is a strategic lens we bring to our consulting and co-creation work with clients. Whether you want to understand what your consumer actually needs from AI, stress-test your platform's current AI strategy, or design new AI-powered experiences that earn genuine trust - we can bring this intelligence to your team.

What we deliver

Basic Access

  • The full syndicated report, with an excerpt available to download
  • Gives your team the complete consumer and competitive intelligence to inform AI strategy decisions

Strategic Workshops

  • Immersive sessions with your brand, product, or insights team to apply the report's frameworks to your specific platform context
  • Mapping your AI position and identifying highest-priority opportunity space

Platform Intelligence Sprints

  • Focused consulting engagements translating consumer intelligence into platform-specific action
  • Covering your AI feature roadmap, competitive gap analysis, and consumer trust architecture

Category/ Platform-Specific Research Add-On

  • A private, bespoke section built around your platform:
  • Consumer perception data specific to your AI features, competitive benchmarking, and a prioritised innovation matrix
  • Delivered confidentially before wider release

Have questions?

If your brand is ready to move toward connection, depth, and cultural relevance, we’d love to collaborate.

This is part of Plum’s Cultural Futures Series - a proprietary, research program decoding how emerging cultural meanings are reshaping categories, consumer motivations, and brand opportunities across modern India. Each study is available for tailored consultation, application workshops, and brand strategy partnerships.

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