At SuiteWorld 2026 in Las Vegas, Oracle NetSuite unveiled NetSuite Next, a shift from ERP systems that mainly record transactions and report insights toward platforms that use AI to spot issues, coordinate workflows and take authorized actions.

For distributors, the approach could use ERP data and permissions to coordinate AI work across specialized systems—including eCommerce, warehouse management, pricing and customer engagement—without forcing every function into one application.

Potential distributor use cases include monitoring inventory exposure, investigating fulfillment delays, linking shortages to customer commitments, and surfacing replenishment or fulfillment options; automation will depend on the tools, configuration and permissions available.

NetSuite announced more than 45 SuiteSkills for business analysis, industry-specific SuiteAgents such as a Product SuiteAgent for assessing inventory and supply risks, natural-language AI Portlets, workflow-focused AI Workspaces, and tools to build and manage agents; availability varies, and some capabilities are planned for future releases.

NetSuite is also extending its AI beyond its own software: its AI Connector Service connects supported external language models to NetSuite data and tools, and more than 13,000 customers have adopted it. Planned Ask Oracle Connectors are intended to let the assistant access information and take permitted actions across supported applications.

More autonomous decisions raise the stakes for purchasing, inventory allocation, pricing and credit, so NetSuite says its systems use roles, permissions and approvals, while planned management tools would add monitoring and traceability; distributors will still need to set clear oversight and approval boundaries.

NetSuite also introduced SuiteExpress, an AI-assisted implementation toolset for requirements gathering, data migration, configuration, workflow validation and training, with consultants overseeing decisions and exceptions; its initial rollout is limited to software companies in North America, with expansion planned for 2027, and its ability to speed complex distributor deployments remains unproven.

Ultimately, practical gains will depend on tool maturity, data quality and integration with existing processes, so companies should measure effects on service levels, working capital and employee productivity—and distinguish available features from roadmap promises.