The ecommerce landscape is shifting beneath our feet, moving away from simple keyword searches toward a sophisticated blend of artificial intelligence and mobile-first experiences. To help us navigate these changes, we are joined by Zainab Hussain, a seasoned e-commerce strategist who has spent years perfecting customer engagement and operational efficiency for major retailers. Her insights into how modern shoppers discover and purchase products provide a crucial roadmap for brands trying to stay relevant in a marketplace that feels more crowded and competitive than ever.
In this conversation, we explore the phenomenon of “tool stacking” where consumers combine AI conversations with traditional search, the overwhelming dominance of mobile app engagement, and the diverging fortunes of retail categories like fashion and electronics. We also look at the massive financial projections for the industry and what it takes for a brand to turn a recommendation into a completed transaction.
Recent data indicates that nearly 90% of shoppers using AI also continue to use traditional search. How does this “stacking” behavior change the way brands should think about the customer journey?
It is a fascinating shift because it proves that AI isn’t a replacement for search, but rather a powerful companion that shoppers use to narrow down their overwhelming world of choices. When we see that 89% of consumers are using both tools, it tells us that the journey has become more layered and complex, requiring brands to be visible at multiple touchpoints simultaneously. Shoppers are using conversational AI to explore broad ideas and refine their preferences, then switching back to search to finalize their decisions and find the best price. This “stacking” behavior actually leads to the highest conversion rates we have seen, as these users are more informed and intentional by the time they reach a product page. Brands can no longer afford to focus on just one channel; they must ensure their product data is optimized for both the logic of search engines and the conversational nuance of AI.
With AI recommendations offering a significant 2-to-1 advantage for suggested brands, what does this tell us about the psychological impact of AI on consumer trust?
The 2-to-1 advantage is a staggering figure that highlights how much weight consumers place on a curated recommendation versus a generic list of results. When an AI tool suggests a specific brand, it feels less like an advertisement and more like a helpful suggestion from a knowledgeable friend, which builds a unique level of psychological comfort. Even though direct referrals from AI platforms have jumped by over 200% in the last year, the real power lies in this influence over the final choice rather than just the initial click. Consumers are looking for a sense of confidence in their purchases, and a well-timed AI recommendation provides that emotional shortcut through the noise of the marketplace. This suggests that the brands winning today are the ones successfully feeding high-quality, relevant information into the AI ecosystem to ensure they are the ones being “hand-picked.”
App sessions are currently growing 1.3 times faster than web visits, and over 86% of consumers shop on mobile. How should retailers be adapting their infrastructure to handle this move away from the traditional web?
The shift is undeniable, with 86.5% of U.S. consumers now considering their smartphone or tablet as their primary shopping mall, making the mobile experience the only one that truly matters for growth. Retailers need to move beyond “mobile-friendly” websites and lean into the frictionless environment of dedicated apps, which are seeing 1.3 times more growth in engagement than standard web visits. This requires a heavy investment in app stability, lightning-fast checkout processes, and biometric security to satisfy the modern shopper’s need for speed and convenience. When a customer opens an app, they expect a seamless, sensory-rich experience where they can swipe through high-resolution images and complete a purchase in seconds. If your infrastructure is still anchored in a desktop-first mindset, you are essentially closing your doors to the vast majority of your potential audience.
Marketplaces are seeing massive growth in categories like fashion with sales up over 33%, while electronics are relatively stagnant. What is driving this disparity in how people shop across different categories?
The contrast is quite sharp, with clothing and jewelry unit sales surging by 33.7% while consumer electronics have stalled with a mere 1.5% growth. This disparity is largely driven by the “refresh cycle” of fashion, where consumers are constantly looking for new trends and seasonal updates, compared to electronics which are often long-term investments that people are holding onto longer. There is also a significant emotional component to fashion shopping on marketplaces like Amazon; it has become a high-frequency, discovery-based activity where people enjoy the thrill of finding a new style. Electronics, on the other hand, have become a utility-driven category where shoppers only enter the market when they have a specific technical need. For brands in the fashion space, this means they must constantly innovate and maintain high visibility to capture that rapid turnover in consumer interest.
Overall traffic to ecommerce sites is up 6.8% year-over-year, yet competition feels more intense than ever. How can brands capture a larger share of this growing pie without overspending on acquisition?
While a 6.8% increase in traffic sounds healthy, it actually puts more pressure on brands to convert the visitors they already have rather than just chasing new ones. The key to winning without burning through your marketing budget is to master the “complex journey” where shoppers are alternating between AI research and search queries. By providing incredibly detailed product descriptions and high-quality imagery, you make your brand more “digestible” for AI tools, which in turn gives you that coveted 2-to-1 recommendation advantage. It is also about loyalty; since so much shopping is happening in-app, once you get a user to download your platform, you have a direct line to them that bypasses expensive external ads. Success in 2026 is about being the most helpful and accessible option at the exact moment a shopper moves from exploration to decision.
What is your forecast for the global B2C ecommerce market?
I anticipate that we are standing on the edge of a massive valuation surge, with global B2C ecommerce revenue projected to climb to over 4.9 trillion dollars by 2030. This represents a significant increase of more than 27% from where we are in 2026, driven by the continued integration of AI into every step of the buying process. We will see the “stacking” behavior we discussed today become the universal standard, making the distinction between search and social or AI almost invisible to the end user. As mobile dominance nears 90% and AI recommendations become even more predictive, the brands that thrive will be those that view ecommerce not as a destination, but as a continuous, personalized service. It is an incredibly exciting time because the tools to reach and satisfy customers have never been more precise or powerful.
