Epicor has announced the general availability of its latest agentic AI capabilities of Epicor Prism and predictive ML of Epicor Grow AI. Purpose-built to accelerate the supply chain industries, Epicor AI covers more than 200 use cases across multiple business functions, helping customers enhance performance, navigate disruption, and unlock efficiencies. Epicor Prism is also now available for integration with Epicor Industry ERP Cloud.
"(This) announcement is a major step forward that delivers on Epicor's vision to build a collaborative supply chain network using industry-specific AI agents. Customers that use Epicor AI have a real competitive advantage, improving overall business performance, productivity, and efficiencies," said Steve Murphy, CEO, Epicor. "As customers navigate and overcome disruption from external factors such as tariffs, supply chain constraints, and economic pressures, Epicor is empowering them with data to spark actionable insights."
Epicor Prism simplifies how connected workforces access and converse with ERP data to discover insights and automate bulk actions, using a natural chat interface to save time and make informed decisions. These agents cover over 10 critical supply chain processes, ensuring comprehensive support for various business functions such as finance, production, customer service, and operations.
Examples of how Epicor Prism is transforming customer operations include:
VIDEO: Epicor Prism: Revolutionizing Supply Chain with AI-Driven ERP
Epicor Grow AI, now generally available, provides a predictive AI modeling engine that runs on the enterprise-grade Grow Data Platform, fusing ERP, and legacy and third-party data to deliver accurate, actionable insights. The Grow Data Platform processes large volumes of data using interactive pipelines and visual cues that indicate data quality, eliminating scalability barriers and dramatically improving organizational readiness for adopting high-value AI.
For example, Grow AI Item Advisor learns what items are often sold together to recommend related items to add-on during the order process. These recommendations appear directly with the ERP order entry screen to boost sales and improve customer experience. Business users configure the purpose-built data pipelines to connect data sources, normalize the data itself, and produce useful recommendations with a high likelihood to sell.
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