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Small Manufacturers Get Instant Operational Insights from MRPeasy’s AI Assistant
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3 min read

Small Manufacturers Get Instant Operational Insights from MRPeasy’s AI Assistant

New capability helps manufacturers find, analyze, and visualize operational information using natural language. Here’s how it works and how real manufacturers are already benefiting.

Ask a question to get instant insights

MRPeasy has expanded its built-in AI assistant with the ability to answer questions using a manufacturer’s own operational data.

Users can now ask Mr. Peasy questions about inventory, production, orders, suppliers, and other business information and receive answers based on the data they are authorized to access.

The update moves Mr. Peasy beyond its original role as a software support assistant and into the role of an operations assistant. In addition to explaining MRPeasy features and workflows, it can now help users retrieve information, analyze data, and create tables, reports, and charts.

For example, a user could ask which items are below their critical stock level, request an overview of open orders, or ask Mr. Peasy to summarize and visualize a set of operational data.

How early adopters are already benefiting

Early adopters are already applying the new functionality to practical business questions. Ymani Efunyale, founder of Philadelphian household cleaning products manufacturer Good Vibes Clean, says:

“One of the first ways I tested Mr. Peasy was by having him summarize my profit margins over the last 90 days. He summarized them and gave me a table that features every product I sell in my e-commerce store, breaking down profitability. I copied that report and pasted it into another AI app, which used that intel to help me decide which bundles to promote and which products to highlight for the coming holiday sales. I learned that my 32-oz bottles have much higher profit margins than my 16-oz sizes and would remain profitable even with deep discounts. Great information obtained from a very simple prompt.  I look forward to exploring all the ways Mr. Peasy can help me in my business.”

Mark Wong, Business & Sales Manager at New Zealand’s plastics manufacturer Acron Plastics, says that Mr. Peasy is already helping the company keep its selling prices profitable:

“So far, I’ve used Mr. Peasy’s new capabilities to identify products that have been sold at the same price for the last 12 months, helping us make sure we review our pricing regularly as costs increase. Going forward, I can see uses ranging from identifying products sold below required margins to flagging materials that need ordering and analyzing operational performance.”

The new capability is designed to help both experienced and occasional ERP users work with operational information more efficiently. It can also make it easier for new employees to find relevant data without having to learn where every report, field, or filter is located.

Privacy and security are prioritized

Customer data access is optional and disabled by default. When enabled by an account administrator, Mr. Peasy operates in read-only mode and follows the user permissions already configured in MRPeasy. It cannot make any changes.

Mr. Peasy is powered by Google Gemini through a commercial API license. Under the applicable Gemini API terms, prompts and responses are not used to train Google’s models or develop its products.

MRPeasy has implemented strong privacy safeguards around AI processing. Sensitive data, such as names of customers, suppliers, products, or employees, is replaced with random identifiers before information is sent to Gemini and restored before the answer is displayed to the user.

The new feature is part of MRPeasy’s broader effort to make manufacturing ERP software easier to use and to help small and medium-sized manufacturers get more value from the data they already collect.

A detailed description of Mr. Peasy is available in the User Manual:
https://www.mrpeasy.com/resources/user-manual/mr-peasy-ai-assistant/

madis-kuuse
Madis Kuuse

Madis is an experienced content writer and translator with a deep interest in manufacturing and inventory management. Combining scientific literature with his easily digestible writing style, he shares his industry-findings by creating educational articles for manufacturing novices and experts alike. Collaborating with manufacturers to write process improvement case studies, Madis keeps himself up to date with all the latest developments and challenges that the industry faces in their everyday operations.

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