Acumatica 25R2 Ushers in the AI Era: Automation, Insights, and Smarter Manufacturing
Acumatica has included AI-assisted features for several years, most notably in AP document recognition and expense automation, but 2025 R2 marks the platform’s first true expansion into broad, cross-functional AI. This release moves beyond isolated automation and introduces machine learning, anomaly detection, and low-code AI tools that connect directly with powerful LLMs like Azure OpenAI and ChatGPT.
With 25R2, AI becomes an integrated part of how users analyze data, detect issues, and automate decision-making across finance, sales, and manufacturing. It’s the beginning of a new era: practical, accessible AI inside Acumatica for everyday business impact.
AI Insights for Manufacturing: Detecting Issues Before They Become Problems
During Algorithm’s “Our Favorite Things of Acumatica 25R2” webinar, Dr. Ben Thomas highlighted how Acumatica’s anomaly detection, introduced in earlier versions, has evolved in 25R2 with improved AI Insights for Manufacturing, giving users a more powerful and practical way to surface issues directly through Generic Inquiries (GIs).
Manufacturers can now use machine learning to analyze operational data and identify unexpected patterns such as:
- Unusual labor times.
- Spikes in material cost usage.
- Deviations in WIP or batch processing.
- Variances across work centers or operations.
Instead of relying solely on historical reports or manual audits, the system surfaces potential issues in real time so teams can take corrective action before delays or cost overruns occur.
“The power of this update is that it gives users a way to identify problems early using data they already have,” Ben explained. “This is AI for real business visibility, not theory.”
Acumatica brings machine learning into the hands of shop floor managers, schedulers, and operations leaders; making smart, predictive manufacturing more achievable for SMBs.
AI Studio Toolkit: No-Code and Low-Code Automation for Everyday Users
Acumatica’s AI Studio Toolkit is one of the most transformative additions in 25R2. As demonstrated by Dr. Ben Thomas, AI Studio gives users the ability to create AI-powered automations without coding, opening the door to powerful workflow improvements with minimal technical skill.
AI Studio supports:
- Connections to LLMs (including Azure OpenAI and ChatGPT).
- No-code and low-code automations based on ERP data.
- Natural language prompts to initiate actions.
- Document analysis and summarization.
- Context-aware recommendations tailored to Acumatica records.
For example, AI Studio can help users:
- Summarize a long customer communication thread.
- Draft purchasing recommendations based on vendor history.
- Suggest corrective actions for late production orders.
- Automate repetitive data entry tasks.
- Provide explanation of anomalies or performance insights.
This toolkit makes AI practical and accessible, empowering teams to build intelligent workflows that improve productivity without needing a development background.
Cross-Sell Auto Suggestions: AI That Helps Sales Teams Sell Smarter
Sales teams benefit from AI in 25R2 as well. During the webinar, Dennis Easter highlighted Acumatica’s new Cross-Sell Auto Suggestions, which analyze customer behavior to recommend additional products during quoting or order entry.
The AI considers:
- Purchase patterns
- Commonly paired products
- Industry trends
- Item combinations historically purchased together.
These insights appear directly within the sales workflow, allowing representatives to offer more complete solutions without relying solely on memory or manual research. The system proactively surfaces relevant add-ons and complementary items, helping teams increase average order value, reduce missed upsell opportunities, and deliver a more informed and personalized customer experience.
Work Centers and Capacity Visibility: Smarter Scheduling Through Better Data
Dennis Easter also demonstrated how Acumatica 25R2 improves Work Center visibility and capacity planning, giving manufacturers greater insight into workload distribution and production readiness.
Key updates include:
- Enhanced visibility of scheduled vs. available capacity.
- Improved reporting for bottlenecks and overloads.
- More intuitive presentation of work center performance.
- Better alignment of labor, machines, and material availability.
When paired with AI-driven anomaly detection and improved automation workflows, these visibility tools help manufacturers plan more effectively, reduce delays, and maintain consistent throughput.
The Result: Practical AI for Real Business Operations
While many ERP systems talk about AI, Acumatica delivers practical, usable intelligence embedded directly into everyday screens and workflows. With 25R2, businesses gain:
- Predictive visibility in manufacturing.
- AI-driven insights that guide financial and operational decisions.
- Low-code automation tools that reduce repetitive work.
- Smarter sales opportunities through automated recommendations.
- Better scheduling and capacity planning.
Acumatica continues to build a platform where AI enhances the work users already do; removing friction, improving accuracy, and connecting data more meaningfully across the business.
Algorithm: Helping SMBs Bring AI Into Their Daily Operations
With over 30 years of experience supporting SMBs in manufacturing, distribution, and construction manufacturing, Algorithm helps businesses adopt new Acumatica AI features in ways that create measurable operational improvements. Our 98% first-time go-live success rate demonstrates our ability to guide customers through modern ERP transformations with confidence and precision.
Algorithm’s team works alongside customers to identify where AI can have the biggest impact—whether that’s automating workflows, improving manufacturing visibility, or integrating AI Studio recommendations into day-to-day processes. We provide hands-on support, training, and strategic guidance to ensure that AI becomes a valuable tool, not just a feature.
Learn more about Algorithm’s ERP expertise at www.algorithminc.com.
December 5, 2025
