SPS Commerce makes its agentic AI MAX generally available and adds Visibility Management and Decision Intelligence

SPS Commerce, the company behind a data exchange network for supply chains (best known for the EDI format used between retailers and suppliers), has announced a new batch of artificial intelligence features. The announcement, dated September 15, 2026, includes the general availability of MAX, its agentic AI layer, as well as two new solutions: Visibility Management and Decision Intelligence. It should be made clear from the outset that the original text is a paid press release distributed by the company itself, not an independent piece of journalism; the impact figures it cites therefore all come from SPS Commerce or from customers quoted in the release, and should be read with that caveat in mind.

The central idea of the announcement is to combine agentic AI capabilities with what the company calls 'network intelligence': aggregated data from the trading relationships flowing through its platform. According to the release, that network connects more than 300,000 trading relationships, processes more than 750 million transactions a year, moves more than $650 billion in gross merchandise value and includes more than 400 systems automation partners. SPS Commerce says it works with seven of the ten largest retailers and with more than two-thirds of today's fastest-growing brands, and employs close to 3,000 people from its Minneapolis headquarters.

The standout product is MAX, described as the 'agentic intelligence layer' within the SPS network. It now moves to general availability after an early access program that, according to the company, generated hundreds of thousands of AI interactions across thousands of customers. MAX is already available for the Fulfillment and Visibility Management modules, and the company says it will soon come to Revenue Recovery and Decision Intelligence as well. Its role is to guide customers through simple and complex supply chain needs, identify key anomalies and prevent errors before they turn into costs, drawing on how trading partner relationships have historically behaved.

Within Fulfillment, SPS has built agentic AI into the entire customer onboarding process, from contract signing to the first live transaction. An 'Onboarding Agent' has already brought more than 300 customers to a state of readiness with their suppliers, according to the company. In testing, a 'Validation Agent' combines real-time network data, retailer and supplier maps, and a history of prior configurations along with best practices from SPS's most experienced consultants, resolving errors 29% faster on average; consultants still review and approve every recommendation before it is applied. The result the company claims is that brands and suppliers reach full compliance with a new trading partner within 24 hours.

The second new offering, Decision Intelligence, is an extension of SPS Analytics that connects sell-through, inventory and supply chain signals from every retailer a brand works with into a single unified view. It is organized around the decisions brands make on a recurring basis: product assortment, inventory placement, availability and demand forecasting. According to SPS, starting from a database already normalized by retailer reduces the work of preparing and reconciling data, allowing analysts to spend more time deciding than cleaning up information, with the goal of spotting stockouts before sales are lost and acting on margin risks in time.

The third new offering, Visibility Management, connects ERP, warehouse management (WMS), transportation management (TMS) and carrier systems into a single, real-time view of purchase order status. Combined with MAX, this solution aims to detect potential problems — including so-called 'non-events', that is, silences in the data flow that can signal a problem — before they affect revenue, and to automatically bring suppliers into the resolution process.

The release places the launch in a market context by citing Gartner data: more than half (55%) of chief supply chain officers say they are unclear about the return on their AI investments, even though AI already accounts for 67% of digital supply chain investment. In other words, SPS Commerce presents its offering as a direct response to that gap between investment and perceived results, arguing that the quality of the data feeding an AI system — in this case, its own network's — is what determines its real usefulness.

The text also includes statements from customers and executives. Allen Thompson, chief operating officer (COO) of the brand RIP-IT, says his company has used MAX intensively and has already saved 'countless hours and hundreds of thousands of dollars'. Slava Syrota, chief technology officer (CTO) of Ecentria, says that two years ago they encouraged their engineering team to experiment freely with AI tools, and that this head start explains how quickly they are now adopting solutions such as MAX; he adds that, in his view, every data source and business tool will sooner or later need an AI interface. On the SPS Commerce side, Mike Svatek, chief product officer (CPO), argues that the value of AI depends on the quality of the data and the intelligence behind it, and presents the company's proprietary network as an asset customers could not replicate on their own.

Taken together, this is a product announcement from a publicly traded company (NASDAQ: SPSC) aimed at its fulfillment customer base, which already numbers tens of thousands of users according to the text itself. It provides no new financial data about the company and no technical details on how MAX works internally beyond what is described, and all metrics on savings, speed or accuracy come from SPS Commerce itself or from customers mentioned in its press release, so they should be treated as commercial claims rather than independently verified data.