GrubMarket Enhances GrubAssist AI with Custom Model Configuration

March 03, 2025
GrubMarket has launched AI Model Configuration and Enterprise Dictionary for GrubAssist AI, allowing food supply chain companies to train the AI with business-specific terminology, as announced in a press release.

GrubMarket has introduced AI Model Configuration and an Enterprise Dictionary for its GrubAssist AI, announced in a press release. This update allows food supply chain companies to train GrubAssist AI to understand and adapt to industry-specific and business-specific terminology, ensuring more accurate and relevant responses.

The new features enable organizations to map everyday language used by team members to their internal ERP data through a proprietary Enterprise Dictionary. This allows GrubAssist AI to interpret prompts based on the company's specific context, resulting in more precise AI responses. The AI can now translate common language into complex database queries, enhancing its ability to provide intelligent insights tailored to each enterprise.

GrubAssist AI's latest enhancements also include seamless integration with leading ERP and accounting platforms such as WholesaleWare, Famous, PICS, Thyme, Granite State Software, and QuickBooks. These capabilities are now available to all enterprise subscribers of GrubAssist AI, offering food supply chain companies the opportunity to optimize their AI-driven workflows and enhance operational intelligence.

We hope you enjoyed this article.

Consider subscribing to one of our newsletters like Enterprise AI Brief or Daily AI Brief.

Also, consider following us on social media:

Subscribe to Enterprise AI Brief

Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.

Market report

AI’s Time-to-Market Quagmire: Why Enterprises Struggle to Scale AI Innovation

ModelOp

The 2025 AI Governance Benchmark Report by ModelOp provides insights from 100 senior AI and data leaders across various industries, highlighting the challenges enterprises face in scaling AI initiatives. The report emphasizes the importance of AI governance and automation in overcoming fragmented systems and inconsistent practices, showcasing how early adoption correlates with faster deployment and stronger ROI.

Read more