Retail Got Internet
The late 90’s saw a powerful technology debut in our world — the Internet. It got consumers on fire with online communities and search. But the industry that jumped to use Internet to completely reinvent its business was Retail.
The retail industry was indeed at the forefront of Internet adoption, leading to transformative changes:
By 2000, e-commerce accounted for $27.6 billion in U.S. retail sales (0.9% of total), growing to 4.2% by 2010 (U.S. Census Bureau). This rapid shift forced a rearchitecture of retail, made giants like Amazon (market cap $153 billion by 2010), and collapsed traditional players (e.g., Borders filed for bankruptcy in 2011).
The Internet Era birthed entirely new business models—marketplaces, direct-to-consumer (DTC) brands—displacing or forcing adaptation among incumbents. It was a structural overhaul of retail’s foundation.
Retail AI is Evolutionary and Not Revolutionary
Unlike Internet, the AI Era, while transformative, appears more evolutionary in Retail and CPG, enhancing rather than redefining the industry:
Retail Business Innovation is Not Driven by AI
India’s quick commerce boom, 10-minute delivery via Blinkit, Zepto, and Swiggy Instamart is a striking example. It’s revolutionary for Indian Retail, with consumer adoption exploding ($6 billion GMV, growing 70% YoY, and 50 million users by 2025, RedSeer projection) and valuations soaring (Zepto hit $5 billion in 2024, TechCrunch).
Quick commerce is revolutionary without AI as the core enabler — it’s a business model and operational innovation triumph with non-AI drivers such as:
The Internet Era fundamentally reimagined retail, creating entirely new business models and customer experiences. Retail led this revolution, changing not just how products were sold, but transforming the entire relationship between consumers, products, and brands.
Yet today, we observe a dramatic contrast—from the industry that once created revolutionary new paradigms with e-commerce to one now primarily using AI for optimization and efficiency. This decline from innovation leader to cautious adopter is puzzling, especially given AI’s transformative potential.
Retail Innovation Could Be Led By AI
The industry that once reimagined itself completely with online shopping now seems content to use powerful AI tools merely to refine existing processes rather than create entirely new paradigms.
Yet AI offers retail the opportunity for reinvention even more profound than the Internet provided. What might truly revolutionary AI-driven retail look like?
1. AI Shopping Agents: Fully Autonomous Comparison, Selection, and Ordering
What Is It?
AI-powered agents proactively represent the customer, automating the entire retail journey—searching, comparing prices, evaluating quality (reviews, images, history), and autonomously completing purchases. Consumers simply set broad preferences (price range, quality thresholds, ethical sourcing) and trust the AI agent.
Why Is It Revolutionary?
Why hasn’t it Happened Yet?
Internal IT complexities to pull data across systems and early stage (Agentic AI)/evolving technology (APIs).
2. Local AI Retail: “Hyper-Local Commerce” (500–1000 km Radius, <24-hour delivery)
What Is It?
AI-driven platforms source and sell goods exclusively within short-radius supply chains (say within 24-hour supply chain), optimizing freshness, sustainability, community economic empowerment, and rapid fulfillment.
Why Is It Revolutionary?
Why hasn’t It Happened Yet?
Requires traditional retailers to fundamentally reinvent their business, brand, logistics, supply-chain models, and supplier relationships. They prefer global sourcing’s economies of scale and simplicity over local complexity. Local retailers do not have the know-how and tech savviness.
3. AI-Driven Replacement Economy: Environmentally Smart Disposal & Circular Economy
What Is It?
Most retail like appliances, furniture, electronics are replacements. New Retail AI platforms could connect consumers disposing of items with people or businesses seeking them. AI matches demand and supply dynamically based on need, preference, sustainability, reuse, or recycling.
Why Is It Revolutionary?
Why Hasn’t It Happened Yet?
Requires embracing entirely new business models extending customer focus and experience from just sales focus to enabling replacement.
Retail AI: Is Talent and Imagination the Challenge?
There is no dearth of capital with retailers. Retail giants across the world (Amazon, Walmart, Carrefour, Tesco, Target for example) certainly have the necessary capital. Walmart alone plans $20 billion in capital expenditure for 2025 for example, but their investments focus is on incremental innovation (automation, existing-store optimization, inventory efficiency) not revolutionary models.
If funding and not capital is the issue for disruptive AI, the 38th edition of Mindvista newsletter – Destroy to Create Funding, Share Risk and Capture Value: What is State of Art and What Next? suggests ways to find capital from opex.
If capital or funding is not the issue, then the constraints boil down to imagination and talent:
Takeaways
No matter where your industry is today, AI-led Accelerated Innovation (AI for AI), like the Internet, transforms industries.
AI technology and infrastructure and service providers are rapidly evolving, supporting super agency in organisations looking for AI to deliver revenue and strategic value. New business models like Service as a Software (39th edition) are also emerging in the Age of AI for creating lasting business value and leadership.
Those who innovate on both technology and business models will become runaway leaders, leaving others far behind.
Being efficient is one path; being disruptive is another. Both deserve pursuit.
To drive disruption, ask these key questions:
Final Word
Even regulated traditional industries like FS, Healthcare and Pharma(with partnerships) have made a great beginning in using AI as means for new revenue and competitive advantage.
Retail got Internet and It is time for retail to reclaim its position as the bellwether in technology led innovation using AI.
Accelerated Innovation (AI) for AI matters not just for retailers but society and economy at large.
Retail typically accounts for 10-20% of GDP in advanced economies, with broader economic ripples through supply chains and services. Retail also employs 10-15% of the global workforce (ILO approximation, 2023), with 300-400 million direct jobs across 8 billion people.
In democratized AI, anyone, anywhere in any industry can achieve remarkable results with courage, intelligence, and tenacity.
And the time to act is now.
What a promising start to 2025—the first year of the next quarter-century.
Explore, join, and stay tuned for more!
Did this edition miss anything?
Love to hear your comments, thoughts, and ideas.
Best wishes,
II. Questioning / Asking
Good conversations flow from well‑sequenced questions—topical, simple, coherent, cohesive.
LLM Conversation Example 1
Q: What are empirical judgments?
A: Empirical judgments are based on observation, experience, or experimentation.
Q: What are moral judgments?
A: Moral judgments are based on ethical principles and values.
