Industry Specific GenAI and ESG Reporting Capabilities Launched by Infor

Author photo: Colin Masson
ByColin Masson
Category:
Company and Product News

Infor announced the launch of Infor GenAI and ESG Reporting to help customers improve productivity and report on their environmental footprint. Infor’s modern solutions run critical operations in manufacturing, distribution, healthcare, and the public sector, and the power of GenAI combined with unique industry capabilities and insights give customers immediate power to leverage the right data and workflows to help realize more value more quickly. Additionally, the solutions adhere to stringent security and data privacy best practices driven by Infor’s OS platform.

Industry Specific GenAI

Infor GenAI is built to leverage customers’ industry data and processes combined with use of LLMs via appropriate orchestration to bring substantial productivity gains in the industries they serve. For example, automatic assignment of attributes for products in distribution, creating exception summary for complex projects in industrial manufacturing take away unnecessary work that users do today.

Infor ESG Reporting helps customers address the increased pressure and changing requirements from internal and external stakeholders to report on their environmental footprint. With Infor ESG Reporting, customers have the data and analytics to help drive more meaningful, measurable, and actionable change, while reporting on their environmental footprint with improved accuracy, transparency, and consistency.

Colin Masson, ARC Advisory Group, says  “Infor's model-based architecture is a cornerstone of its ERP, featuring a comprehensive process catalog that encapsulates best practices and industry-specific workflows, and process intelligence. Infor's strategic partnership with AWS is accelerating its ability to integrate AI into Infor OS, leveraging AWS' cloud infrastructure and advanced AI services. This collaboration enables Infor to offer process intelligence that can predict outcomes, optimize operations, and enhance decision-making, propelling industrial customers towards leadership in the AI era.”

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