Oracle Adds New Generative AI Capabilities to NetSuite

Oracle Enhances NetSuite with AI-Powered Pricing Features: Report
Oracle has introduced a new set of artificial intelligence (AI)-driven features in NetSuite, one of its corporate finance software offerings, to streamline complex pricing processes for businesses. “The new generative AI capabilities and AI agents can help customers streamline data entry, centralize the management and deployment of large language models, optimise product configurations, and accelerate sales processes and issue resolution,” Oracle Netsuite said on Thursday.

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Oracle Introduces AI Enhancements in NetSuite

“We’ve embedded AI at the core of the suite and are now adding more generative AI capabilities and AI agents at no additional cost,” said Evan Goldberg, founder and executive vice president of Oracle NetSuite. “The latest AI innovations in NetSuite will advise and assist our customers and help them boost productivity, increase profits, and optimize their business for success.”

“New generative AI capabilities and AI agents in NetSuite expand customisation capabilities, improve AI-assisted workflows, and help customers maximize the value of the suite,” the company said.

Key AI Capabilities in NetSuite

NetSuite’s latest AI capabilities include Text Enhance for custom fields, which the company says helps organizations improve the speed and accuracy of data entry by leveraging relevant company data to populate custom fields with generative AI.

Another feature, Prompt Management API, simplifies AI integrations and customizations by centralizing the management and deployment of prompts used by large language models in NetSuite.

A key AI capability is the NetSuite CPQ AI Assistant, which helps organizations accelerate sales processes, enhance customer satisfaction, and improve the user experience. This AI agent supports both B2B sellers and B2C buyers by assisting in product and service configuration. With the new AI agent, NetSuite says CPQ can recommend suitable product configurations based on natural language conversations and provide a summary explaining why certain options were selected.