Amazon Evolves Beyond the Marketplace: How Seller Central’s Expansion and Agentic AI Are Redefining the Merchant Operating System

Amazon is executing a strategic pivot that shifts its foundational business model from owning the point of transaction to governing the broader merchant workflow. For decades, the retail giant focused primarily on being the ultimate storefront—the premier destination where independent merchants list, market, and sell goods to hundreds of millions of global consumers. However, sweeping updates introduced to Seller Central in late September 2026 signal a much broader ambition. By intentionally integrating order streams and product listings from key competitors such as Walmart and eBay, alongside major platforms like Shopify and TikTok, Amazon is positioning itself to become the central operating layer for multichannel retail operations.

This transformation is not occurring in a vacuum. It represents the convergence of multi-platform merchant realities and rapid advancements in artificial intelligence. As independent sellers increasingly diversify their digital footprints across competing ecosystems to capture consumer demand, they face a fragmented operational environment. Amazon’s recent updates aim to solve this fragmentation by absorbing the administrative complexity of modern e-commerce. Simultaneously, the evolution of Amazon Seller Assistant from a reactive chatbot into a persistent, autonomous agent marks a milestone in agentic commerce. Together, these developments suggest that the future of retail dominance will not belong solely to the platform with the most traffic, but rather to the infrastructure that controls the merchant’s master system of record.

The Multichannel Reality of Modern Retail

To understand the weight of Amazon’s structural shifts, one must examine how contemporary merchants conduct business. According to internal data released by the company, more than 95% of independent merchants operating within Amazon’s store distribute their merchandise across multiple digital channels. Crucially, these multichannel operators account for more than 60% of total sales volume on Amazon.

Despite the clear benefits of diversification—reaching broader audiences, capturing alternative demographics, and mitigating platform risk—multichannel selling introduces significant operational friction. Every platform introduced to a merchant’s distribution strategy creates a new, isolated silo. Merchants must manage separate order queues, distinct product catalogs, isolated advertising dashboards, and fragmented fulfillment and inventory data streams. This operational overhead drains valuable time, resources, and capital that could otherwise be allocated toward product development and brand expansion.

By opening Seller Central to external platforms, Amazon is making a pragmatic concession to the realities of modern commerce. David Forsythe, Amazon’s Vice President of the North America seller business, addressed this strategic shift in an interview with industry analysts, noting that the inclusion of major rivals reflects true merchant behavior. Forsythe emphasized that supporting sellers across their entire operational landscape ultimately drives success back to Amazon itself, as healthy, efficient businesses scale faster everywhere.

Integrating Walmart Orders: A Calculated Concession

The most striking element of Amazon’s Seller Central update is the inclusion of Walmart. Historically, Amazon and Walmart have maintained a fierce, zero-sum rivalry across logistics, brick-and-mortar retail footprint expansion, digital advertising, and marketplace dominance. For Amazon to allow merchants to manage Walmart-generated orders and listings directly inside Seller Central represents a profound strategic pivot.

Market observers note that this move reframes Seller Central from a proprietary marketplace dashboard into a lightweight, cloud-based Enterprise Resource Planning (ERP) tool tailored for e-commerce. By absorbing competitor workflows, Amazon effectively lowers the administrative barrier to entry for sellers who might otherwise prioritize Walmart’s ecosystem due to its massive physical retail footprint.

This development aligns with Amazon’s broader capital expenditures. The company has invested heavily—allocating billions of dollars—to optimize its fulfillment network and localized delivery capabilities, effectively mirroring the geographic advantages that Walmart’s extensive network of over 5,000 U.S. stores historically provided. By merging these logistics and administrative pipelines into a single interface, Amazon aims to neutralize Walmart’s structural proximity advantages while retaining its software-as-a-service-like grip on merchant data.

From Reactive Chatbots to Persistent Agentic AI

Simultaneously, Amazon’s updates to its artificial intelligence infrastructure indicate a profound shift in how software interacts with business operations. Earlier generations of e-commerce AI tools functioned primarily as reactive chatbots—answering isolated queries regarding shipping policies, fee structures, or basic listing optimization.

The expansion of Amazon Seller Assistant into a persistent agent fundamentally changes this dynamic. Equipped with advanced monitoring capabilities, the upgraded AI continuously evaluates inventory levels, dynamic pricing structures, advertising campaign performance, shifting consumer demand curves, and regulatory compliance metrics. More importantly, with explicit merchant authorization, the AI is capable of taking autonomous or semi-autonomous action. It can adjust ad bids, rebalance inventory allocations, and flag potential supply chain bottlenecks before they impact customer satisfaction.

This evolution shifts the value proposition of artificial intelligence from automating repetitive tasks to automating managerial attention. In an environment where merchants must oversee multiple sales channels simultaneously, the cognitive load of monitoring data feeds is immense. An AI agent capable of synthesizing data across disparate platforms provides a distinct competitive advantage.

The Battle for the Merchant’s System of Record

As e-commerce matures, the competitive battlefield is shifting away from simple storefront visibility toward the underlying system of record. PYMNTS Intelligence data highlights the ongoing struggle for market dominance between retail giants. The September 2026 Share of Wallet report indicates that Walmart maintains a commanding grip on U.S. food and beverage spending, controlling roughly 21% of the category compared to Amazon’s approximately 3%. Furthermore, Walmart’s market share advantages have steadily expanded since 2019, even as Amazon has nearly doubled its overall share of the broader retail sector.

Faced with this persistent retail powerhouse, Amazon’s strategy relies heavily on data aggregation and workflow control. An AI agent restricted to monitoring only Amazon-specific sales data operates with a limited, myopic perspective. However, an operating layer capable of ingesting and analyzing activity across Amazon, Walmart, Shopify, TikTok, and eBay possesses an infinitely richer context. This comprehensive data set enables the AI to diagnose inventory imbalances, forecast regional demand surges, and optimize profitability with unprecedented precision.

Consequently, the commercial software layer that successfully integrates these diverse feeds becomes indispensable to the merchant. The platform that dictates the workflow dictates the loyalty of the merchant base.

The Geopolitics of Agentic Commerce and Platform Access

As agentic commerce accelerates—driven by consumer adoption, with PYMNTS Intelligence data revealing that roughly 132 million individuals have completed purchases using AI assistance, and 22% of online shoppers initiating product research via AI tools—technology titans are drawing firm boundaries regarding data access and interoperability.

This trend was underscored by Amazon’s high-profile decision to block Meta’s newly introduced personal artificial intelligence agent, Muse, from interacting with its e-commerce marketplace. By barring external AI agents from scraping or executing transactions natively within its ecosystem, Amazon is aggressively protecting its proprietary data and customer relationships.

At the same time, Amazon’s willingness to allow outside AI interfaces and multi-platform data integrations within Seller Central reveals a nuanced strategy: it tightly controls consumer-facing AI touchpoints while opening up its backend infrastructure to capture merchant management workflows. By positioning itself as the foundational plumbing for third-party execution, Amazon ensures that it remains the indispensable engine driving modern retail, regardless of where the final consumer transaction ultimately takes place.