According to a June 2026 McKinsey & Company report titled "Europe's new ecommerce agenda: How AI is resetting growth and competition," ecommerce leaders distinguish themselves not through isolated AI experiments but through integration of interconnected levers that reinforce one another economically (Practical Ecommerce). An AI flywheel is a system that gains momentum as each part improves the next—for example, AI-powered personalization increases customer engagement, which creates better demand signals, which improve pricing and inventory decisions, which in turn create more engagement and data.
McKinsey identifies four value levers for building an ecommerce AI flywheel: growth (improving product discovery, recommendations, and content), productivity (reducing repetitive work in customer service and administration), value-chain efficiency (connecting demand, inventory, fulfillment, and returns), and profitability (enabling better pricing, promotion, and markdown decisions) (Practical Ecommerce). The advantage for small and mid-sized merchants is managerial rather than technological—applying AI to inform business decisions, measure outcomes, and feed learning back into the operation, thereby linking customer service insights with product content, site search with merchandising, and inventory with promotions.