Improving User Assistance with NetSuite Generative AI Retrieval Augmented SearchÂ
Today, Oracle NetSuite unveiled new generative AI-powered features to assist businesses in achieving their objectives more quickly and effectively. NetSuite Text Enhance, integrated throughout the suite and backed by Oracle Cloud Infrastructure’s (OCI) generative AI service, enables users to make use of pertinent, company-specific data from across NetSuite to produce and enhance contextual and tailored content. Teams in charge of finance and accounting, HR, supply chain and operations, sales and marketing, and customer support can use AI with NetSuite Text Enhance to create pertinent drafts or improve already-written text.Â
OCI Generative AI Service
Through automating the creation of context-sensitive material for every section of the suite and optimizing procedures, NetSuite Text Enhance will help customers further enhance productivity by enhancing the AI capabilities already present in NetSuite.
For instance, in the sales process, NetSuite Text Enhance can make it quick and simple for a user to create a contextual email response by utilizing a combination of ERP, CRM, and supply chain data when a prospect contacts a business using NetSuite and expresses interest in a specific good or service. Emails can be tailored to the company’s ongoing campaigns and can contain information on the newest product description, photos, pricing, availability, and delivery information.
How can AI integration with NetSuite assist clients?
Through the integration of contextual and company-specific data from throughout the suite, NetSuite Text Enhance will assist clients in transforming:Â
- Finance & Accounting:Â By speeding up time-consuming writing activities, NetSuite Text Enhance can assist finance and accounting teams in increasing collections, closing the books more quickly, and concentrating on more strategic and rewarding work. Writing focused and customized collection letters and creating summaries and narratives for financial reports are two examples of use cases for aided authorship.Â
- Operations and Supply Chain:Â Teams in charge of operations and supply chains may increase the effectiveness of communications pertaining to their products by streamlining purchasing and logistics with the use of NetSuite Text Enhance. The creation of procurement orders, request letters, personalized vendor engagement letters and emails to follow up on delayed purchase orders, customer updates on delivery schedules, and product descriptions used by sales, support, and implementation teams for invoices, websites, and point-of-sale systems are a few examples of assisted authoring use cases.Â
- Sales and Marketing: NetSuite Text Enhance has the potential to expedite sales and marketing operations, resulting in more revenue-generating initiatives. Personalized email content creation for marketing campaigns and sales pitches, contextual lead and prospect response generation, and written quote and proposal drafting are a few examples of aided authoring use cases.  Â
- Human Resources: Job descriptions and requisitions; goal writing, including comprehensive descriptions and success metrics; content creation for peer-to-peer kudos; summaries of employees’ performance based on feedback from peers, managers, or the employee themselves; and goal progress and accomplishments are just a few examples of assisted authoring use cases that NetSuite Text Enhance can help employees, managers, and HR leaders increase the speed and accuracy of critical HR activities.Â
- Customer service: NetSuite Text Enhance can help boost the output of customer service representatives and enhance the clientele’s experience. Generated responses to online consumer comments, such as reviews and discussions in forums and on social media, escalation notices for internal teams, and customer care case updates for both internal teams and customers are a few examples of assisted authoring use cases.Â
Conclusion
The integrated generative AI capabilities in NetSuite are made to respect clients’ enterprise data, privacy, and security because they are based on OCI and make use of its best-in-class AI services. OCI offers both custom and prebuilt models. No client data is shared with LLM providers or viewed by other customers or outside parties when using Oracle’s generative AI service. Furthermore, the only organization permitted to employ custom models trained on its data is a single client. Role-based security, which is fully integrated into NetSuite workflows, helps to safeguard private client data and only suggests content that each user is authorized to see.
Using OCI Supercluster, which combines the greatest capacity RDMA network in the cloud with bare metal computing powered by NVIDIA GPUs, OCI expedites LLM training at the lowest possible cost. Because of this, Oracle can produce AI innovations at the fastest rate in the industry and draw in top innovators with an enterprise emphasis, such as Cohere, to expand on OCI and feedback into the innovation feedback loop. Furthermore, end-to-end security is offered by OCI’s generative AI services.
