Zainab Hussain joins us to navigate the rapidly shifting landscape of e-commerce as we move through the second half of 2026. As an e-commerce strategist with deep roots in customer engagement and operations management, she offers a unique vantage point on how artificial intelligence is moving from a experimental tool to the very engine of retail transactions. This year has already proven to be a watershed moment for “agentic commerce,” a term that describes a world where AI doesn’t just suggest products but actively facilitates the entire purchase process on behalf of the consumer.
Our conversation explores the massive leap in conversion rates for AI-driven traffic and the strategic divide between industry titans like Amazon and Walmart as they compete for dominance. We also delve into how payment providers like Visa and Mastercard are preparing for a world of autonomous shopping agents and why the resale market is finding new life through specialized machine learning tools. Finally, we look at the enduring role of physical stores in a digital-first world and the evolving habits of the modern shopper who is increasingly turning to platforms like ChatGPT and Perplexity to discover their next purchase.
AI-driven traffic is currently converting at a significantly higher rate than non-AI sources. How should retailers adapt their content and technology investments to capitalize on this massive shift?
The data released in March 2026 is truly eye-opening, showing that AI-driven traffic to retail websites is now converting 42% more often than traditional, non-AI traffic. It is a complete 180-degree turn from just a year ago, when visitors from AI sources were converting at nearly half the rate of their counterparts. For a retailer, this means the old playbook of simply optimizing for human-read search engines is becoming obsolete; you now have to optimize for the “agent” that is shopping on behalf of the person. This shift requires a massive overhaul of the technology stack to ensure that product data is structured in a high-fidelity format that AI models can digest and trust instantly. It is no longer just about having pretty lifestyle photography for humans to browse, but about providing the deep technical specifications that give an AI the “confidence” to pull the trigger on a purchase.
Amazon and Walmart have taken very different paths regarding agentic commerce, with Amazon favoring first-party tools and Walmart embracing external collaborations. What do these divergent strategies reveal about their long-term goals?
It is a high-stakes battle between a “walled garden” and an open ecosystem between the two giants ranked No. 1 and No. 2 in the Top 2000 Database. Amazon is leveraging its massive scale to keep everything in-house, often choosing to restrict third-party AI agents in favor of investing heavily in its own proprietary first-party tools. This gives them total control over the customer journey and the valuable data that comes with it, but it risks isolating them if consumers eventually prefer a universal shopping assistant that works across all stores. Walmart, on the other hand, is playing a much more collaborative game by working with OpenAI and supporting external relationships while simultaneously pushing its own AI creation, Sparky. By using what they call “super agents” to manage smaller, specialized agents across their operations, Walmart is betting that a multi-pronged, flexible approach will help them capture growth through variety and integration.
Payment leaders like Visa and Mastercard are already positioning themselves to support agentic commerce through partnerships with Stripe and Google. How will this change the concept of the “checkout” for the average shopper?
We are moving toward a future where the traditional, manual “checkout” button might start to feel like a relic of the past. By supporting Stripe’s agentic capabilities and Google’s Universal Commerce Protocol, these payment giants are ensuring they remain the invisible infrastructure for transactions that a human might never even see. It feels very similar to the early years of online payments, where the primary goal was to make the friction of a transaction vanish into the background as much as possible. For the consumer, this means a world where your AI assistant finds the best price, verifies the stock, and completes the payment via a secure protocol without you ever having to fill out a shipping form or look for your credit card. It transforms the act of buying from a series of tedious manual tasks into a seamless, background event managed by trusted digital partners.
The Mass Merchant and Health & Beauty sectors are leading the pack in terms of growth this year. What is driving the 14.4% increase in web sales for these large-scale retailers?
The 14.4% year-over-year increase in web sales for Mass Merchants is a clear testament to how these giants have successfully integrated digital convenience into the everyday lives and budgets of consumers. Amazon’s staggering 40% share of all e-commerce sales among Top 2000 companies shows just how much weight the top players carry, but it also forces everyone else to innovate with a sense of urgency. We are seeing a lot of this growth driven by better backend automation and AI features that make sure the right products are in the right place at the right time to avoid out-of-stock frustrations. This efficiency not only saves the company money on logistics but also provides the instant gratification and reliability that modern shoppers have come to expect. It is about winning the “trust” of the consumer through consistent delivery and smart discovery tools that take the guesswork out of shopping.
Online resale is seeing a resurgence, particularly among younger consumers with tight budgets. How is AI helping platforms like ThredUp and Gone.com stay relevant in this competitive space?
Younger shoppers are under a significant amount of financial pressure in 2026, which has made the resale market more attractive than ever, but the challenge has always been the chaotic nature of secondhand inventory. AI tools are the “secret sauce” for platforms like ThredUp, Phia, and Gone.com because they can instantly categorize, price, and market one-of-a-kind items at a massive scale that humans simply couldn’t handle. Instead of a staff member having to manually describe every single used garment, AI use cases enable these platforms to process thousands of items a day, making the experience feel as polished as buying something brand new. This technology removes the “treasure hunt” frustration that used to plague resale and replaces it with a curated, high-end feel that resonates with Gen Z and Millennial shoppers. It is a brilliant example of using technology to take the friction out of the circular economy, making sustainable shopping a viable first choice rather than a budget-driven compromise.
Despite the digital push, retailers like Home Depot and Target are still investing heavily in omnichannel experiences. Why does the physical store remain so critical to the e-commerce strategy in 2026?
The physical store is no longer just a place to browse shelves; it has evolved into a critical node in a sophisticated digital fulfillment network. Leaders like Home Depot, Lowe’s, and Target are using their brick-and-mortar footprints to offer convenience that a purely online player simply cannot match, such as instant curbside pickup or effortless in-person returns. These omnichannel options are proven to boost customer loyalty and significantly increase order volume because they give the shopper total control over how and when they receive their goods. There is a certain sensory reassurance in knowing you can order a specific part online and pick it up at a nearby store in twenty minutes to finish a home project. By blending these physical assets with AI-driven discovery and automation, retailers are creating a powerful “best of both worlds” scenario that keeps shoppers anchored to their specific brand ecosystem.
What is your forecast for agentic commerce?
While the current volume of purchases through AI discovery platforms like ChatGPT and Perplexity is still relatively small compared to traditional search, we are at the very beginning of a massive cultural shift in shopping habits. By the end of 2026, I expect we will see these “agentic habits” crystallize as the technology becomes more reliable and deeply integrated into our phones and home devices. We will move away from a world of “searching and clicking” through endless lists toward a world of “instructing and receiving,” where the AI understands our personal preferences so well that it can anticipate our needs before we even realize them. The retailers who win the 2026 holiday season and beyond will be those who stop treating AI as just a chatbot and start treating it as the primary interface for the modern, busy consumer.
