AI Agents for Manufacturing and Distribution

Vaibhao Chawale
11 April 2025

Easy access - Reduce barriers and simplify access to data using AI agents working together.

As AI continues to expand our vision of the future of software, we're starting to see some new programming patterns emerge. One of the most interesting new patterns is the use of “agents” which allow multiple LLM models to interact together and produce a result. This is the approach used by the Microsoft AutoGen.Net framework, which is a current leader in knowledge and reasoning benchmarks.  

How can we use this type of framework to benefit manufacturing and distribution projects? With the goal of “work smarter, not harder,” we can create “agents” that are each aware of a part of the system and act accordingly. This gives much more control over an API for any system to help the LLM act correctly and consistently.  

We’ve developed a multi-agent response system (MARS) framework that leverages AI to connect to a complex API to a backend system such as any enterprise resource planning (ERP) systems. This allows for natural language to be used when interacting with the ERP API and perform complex tasks quickly and efficiently.  

Multi-agent response system (MARS)
Adage multi-agent response system (MARS)

 

This can be used for multiple use cases to streamline development and increase productivity such as: 

Natural Language Query Chatbot

A benefit of using a MARS is the natural language query capabilities through a chatbot. Each ERP has its own naming conventions and organization of product information, and it’s not always intuitive. A MARS in connection with a chatbot means that users can type in a question to the chatbot and receive the information without digging around through the ERP. 

This means that when a customer service member receives a call, they can quickly retrieve customer, product information, or inventory information with a simple query. 

For example, a salesperson can easily retrieve sales information with a simple question like, "When was the last time Customer A placed an order?"  or "Provide me a list of orders place by Customer A in the month of June 2024.  Please include the order number, date of order, and amount."  Much like working popular AI chatbots like ChatGPT, the better the prompts, the better the answer. 

The point is users no longer need to learn how to navigate complex reporting or BI tools.

AI Between Your ERP and online portal

A manufacturing company's ERP and online portal need to communicate accurately and efficiently. In a typical integration, both systems are connected through an application programming interface (API). Each platform integration requires its own API connection to share information so that inventory information is accessible to the website and vice versa. This is important for a personalized customer experience, viewing product availability, online purchases, and more. 

Implementation of a MARS that leverages AI opens the possibility of creating a platform-agnostic integration based on natural language. The MARS is a natural language wrapper placed on top of the API to convert the CMS and ERP-specific queries into natural language queries.

To break it down simply, AI becomes a universal translator. 

Smooth ERP Transitions

It’s critical for your ERP to connect with your selected CMS or ecommerce platform. But over time, as your organization grows and business and technology needs change, you may need to change ERP platforms. This is where the benefits of an AI-based MARS truly shine. 

Since MARS implements AI for natural language queries for outbound integration with an ERP, your transition to a new one becomes a lot easier because your front end remains the same. Previously, research would need to be conducted to ensure that the new ERP has an API integration with the CMS CMS or ecommerce platform, limiting your platform options.

With the MARS, you’re able to select the ERP of your choosing without worrying about the API connections. 

AI is excitingly changing every industry. As we continue to explore AI and its capabilities, we’re excited at the possibilities of transforming the way manufacturing and distribution companies work through MARS. 
Vaibhao Chawale



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