

Oracle Corp.’s NetSuite subsidiary today said it’s expanding generative artificial intelligence capabilities across the product line with additional Text Enhance features targeted to specific uses.
The company also announced the launch of the NetSuite Analytics Warehouse Multi-Instance Connector for consolidating data from multiple application instances into a single NetSuite Analytics Warehouse
The generative AI services, provided by Oracle Cloud Infrastructure, are based on prebuilt and custom models. Privacy and security features ensure no customer data is shared with large language model providers or seen by other customers. An individual customer is the only entity allowed to use custom models trained on its data. Role-based security is embedded into workflows and only recommends content that end users are entitled to view.
In the Finance and Accounting module, NetSuite Text Enhance helps with writing tasks such as summarizing narratives for financial reports and personalized collection letters, authoring journal entries, creating new charts of accounts, writing purchase order entries including packing lists and product labeling instructions, and creating cash refund explanations.
In the Supply Chain and Operations application, generative AI suggests item descriptions, helps write vendor engagement letters and procurement orders, creates support tickets for warehouse management and shipment summaries, creates and updates supply chain snapshots, and generates project tasks and task assignments.
Text Enhance helps manufacturing customers write data entry and tracking activities and create consistent definitions for manufacturing cost templates. Sales and Marketing users get help writing marketing emails, creating quotes, summarizing sales events, authoring lead-generation communications and developing targeted messaging.
In the Human Resources module, generative AI helps write job descriptions and requisitions, employee goals and summaries of employee performance. Customer Support users now have assisted authoring for online comment responses, help writing customer cases automated customer event summaries, root causes and resolutions.
With the Multi-Instance Connector, organizations can consolidate data, simplify data management and access a common set of analytics tools. Features such as chart narratives, pattern recognition and anomaly detection help users better understand portfolio investments. A collection of interactive dashboards, visualizations and metrics is also available.
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