Artificial intelligence (AI) is changing how businesses operate, offering unprecedented opportunities for efficiency and innovation. NetSuite, a leading enterprise resource planning (ERP) system, integrates AI and machine learning (ML) in its features, increasing the software’s intelligence capabilities. By embedding intelligence throughout its platform, AI in NetSuite can help organizations streamline operations, inform strategic decisions, and enhance customer engagement.
Understanding AI & ML in NetSuite
AI and ML are pivotal in transforming business software. While AI mimics human thinking and problem-solving capabilities, ML enables software to learn and improve over time without explicit programming. NetSuite continually enhances its platform with new AI and ML features that leverage centralized business data.
The cohesive nature of NetSuite’s platform creates a particularly advantageous environment for AI implementation. Unlike siloed systems that limit data accessibility, NetSuite’s unified database enables AI algorithms to identify patterns, generate insights, and make predictions based on a holistic view of operations—from accounting and human resources to supply chain and customer relationship management (CRM).
AI Features & Benefits
NetSuite’s AI capabilities are designed to enhance business operations through two main functionalities: assist and advise. The assist features are designed to handle repetitive tasks based on business rules. These features can help increase accuracy, speed, and employee productivity while reducing errors. The advise features can identify trends, make predictions, answer questions, and offer recommendations, delivering unique insights to help drive decision making.
NetSuite integrates AI throughout the system, delivering specific capabilities that can translate to measurable improvements.
| Business Function | Features | Benefits |
|---|---|---|
| Automated Financial Management |
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| Enhanced Content Creation |
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| Advanced Business Insights |
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| Intelligent Search & Support |
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| Sales Enrichment |
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Generative AI Enhancements in NetSuite
The latest NetSuite release, 2025.1, introduces advanced generative AI capabilities that represent noticeable improvements.7 These include:
- Generative AI Enhancements: The latest NetSuite release includes new applications of generative AI, such as domain-specific GenAI assistants and tools that can automatically generate reports and identify trends.
- NetSuite Expert: According to NetSuite, the SuiteAnswers knowledge center now leverages the new AI-powered “NetSuite Expert,” which uses retrieval augmented generation (RAG) capabilities from Oracle Cloud Infrastructure, to search SuiteAnswers’ help and support content and then creates a concise answer to a NetSuite-related question.8
- AI Assistant for Analytics: The release also introduces an AI assistant for NetSuite Analytics Warehouse, which can generate charts and data visualizations based on natural language prompts. This feature can help non-technical users explore data relationships and trends through simple conversational requests like “Show me sales by region for the last quarter compared to the same period last year.”
Using AI in NetSuite
Deploying AI capabilities in NetSuite requires thoughtful planning and ongoing measurement. Recommended steps include:
- Process & Technology Assessment: Review current business processes to identify areas where AI can deliver the greatest value.
- Data Preparation: Confirm data quality and consistency across the organization, as AI effectiveness depends heavily on reliable data.
- Phased Deployment: Start with well-defined use cases that offer measurable outcomes before expanding to more complex applications.
- User Training: Provide in-depth training and clear communications to help employees understand how to work effectively with AI-powered tools.
- Continual Monitoring: Regularly assess AI performance and work with certified NetSuite consultants to refine models to help improve accuracy and effectiveness.
Key Performance Metrics
According to a field guide published by Oracle NetSuite, “Leveraging AI KPIs,” to help measure AI deployment outcomes, consider these metrics:
- Accuracy of Predictions: AI can significantly enhance the accuracy of forecasts and predictions, which is crucial for strategic planning and decision making.
- Real-Time Data Analysis: The ability to analyze data in real time can help businesses respond to changes and make informed decisions quickly.
- Trend Identification: AI can identify trends and patterns in data that might be missed by traditional methods, uncovering deeper insights into business performance.
- Anomaly Detection: AI-driven tools can detect anomalies and outliers in data, helping organizations identify potential issues before they escalate.
- Operational Efficiency: By automating routine tasks and processes, AI can help improve overall operational efficiency, giving employees more time to focus on strategic activities.
- Customer Satisfaction: AI can review customer feedback and behavior to provide insights into customer satisfaction and areas for improvement.
These elements underscore AI’s potential to enhance the effectiveness and reliability of tracking key performance metrics.9
Future Trends in AI for ERP Systems
The evolution of AI within NetSuite and other ERP systems continues to accelerate, with several promising developments on the horizon. One key area is adaptive intelligence, where future AI technology will increasingly adapt to specific business contexts, learn from user interactions, and become more aligned with organizational objectives and processes over time.
Another major development involves advanced natural language capabilities, where users will interact with NetSuite through increasingly sophisticated conversational interfaces, making the system more accessible to various user types—from experienced developers and system administrators to casual or infrequent system users. Further, AI is propelling predictive risk management to help proactively forecast potential issues, empowering organizations to take preemptive actions to mitigate risks.
Lastly, another trend is cross-platform integration as AI agents increasingly extend and coordinate across different business systems. This approach can build a unified intelligence layer that can enhance an organization’s technology ecosystem and AI output rather than containing AI within individual modules. This can help improve speed to insights, collaboration, and business agility.
Getting Started With Forvis Mazars
For organizations looking to leverage AI in NetSuite, working with certified NetSuite consultants can pave a smooth path forward. The NetSuite team at Forvis Mazars can help you assess your business processes and decipher where AI technology can be applied to create efficiencies and help enhance business performance.
As a certified Oracle NetSuite partner, we provide software implementation, integration, and consulting services, and we’re committed to delivering an Unmatched Client Experience®. In addition, NetSuite at Forvis Mazars offers two premier program options:
- NetSuite Solution Provider – Helping your business get up and running with its own suite of NetSuite modules.
- NetSuite Business Process Outsourcing (BPO) – Helping fast-growing startups and small and midsize organizations supercharge their business management with outsourcing services.
Ready to unlock the power of AI in NetSuite? Connect with us today to learn more or request a personalized demo.
Watch our recent webinar on demand: AI Innovations in NetSuite: Enhancing Business Operations.
- 1“Leveraging AI for Invoice Processing,” netsuite.com, October 10, 2024.
- 2“Artificial Intelligence for Finance,” netsuite.com, 2024.
- 3Ibid.
- 4“AI in Manufacturing: Benefits and 15 Use Cases,” netsuite.com, May 21, 2024.
- 5“Artificial Intelligence for Finance,” netsuite.com, 2024.
- 6Ibid.
- 7“GenAI powers new assistant, automated insights in NetSuite 2025.1,” netsuite.com, February 5, 2025.
- 8Ibid.
- 9“Leveraging AI KPIs,” netsuite.com, December 2023.