Intuendi’s Demand Planning Intelligence is now accessible inside the LLM you already use. Because your AI stack strategy shouldn’t be limited by your supply chain software.
Most companies we talk to are already deep into building their AI stack. Claude, ChatGPT, Copilot, and an expanding set of AI agents are becoming part of how procurement, finance, and operations get work done day to day.
That raises a real question for anyone running supply chain software:
Does that system plug into the AI stack a company is building, or does it sit outside it as one more login?
To us, the answer is obvious: Our Demand Planning Intelligence shouldn’t be locked inside a planning tool, only available to the planners who log in. It should be available wherever your teams are already working, which today increasingly means inside an LLM chatbot.
That’s why we’ve added support for the Model Context Protocol (MCP). With MCP Connect, Intuendi works as an MCP server for supply chain planning: any MCP-compatible AI assistant can use its forecasts, inventory data and purchasing recommendations.
What this means for your business
Intuendi’s Demand Planning Intelligence is no longer something only planners can access: every team can use it. With MCP Connect, procurement, finance, operations and the executive team can pull that intelligence directly into the conversational AI tool they already use, without switching to Intuendi or learning another dashboard.
A few examples of what that looks like in practice:
- Procurement asks about next week’s purchasing recommendations from inside ChatGPT
- Finance checks the inventory impact of a working-capital decision without opening a separate report
- Operations investigates why a forecast shifted, mid-conversation, without hunting for the right dashboard
- An executive gets a straight answer on supplier risk from whatever AI assistant is already open on their laptop
None of this is a new dashboard to learn. It’s the same demand planning intelligence Intuendi has always delivered, but now reachable by anyone in the organization in the tool they already have open.
What is an MCP server for supply chain software?
If MCP is a new term to you, you’re not behind. Most people are hearing it for the first time this year.
The Model Context Protocol (MCP) is an open standard that allows AI assistants to securely connect with external business systems. It’s becoming the default way enterprise AI platforms talk to specialized software, largely because it solves a real integration problem: instead of every AI platform needing its own custom connection to every business system, a system built on MCP connects once and works with any MCP-compatible assistant.
As more organizations build enterprise AI stacks, standards like MCP are becoming an essential part of making business systems work together.
What MCP makes possible for supply chain teams
Making Intuendi’s Demand Planning Intelligence accessible through MCP doesn’t just change where people access it, it opens up entirely new ways of using it. Some examples:
Supply chain data becomes shared knowledge
In any product-based business, data about the core assets, such as stock levels, forecasts, stockout risk, purchasing plans, sales performance, etc., typically have to be requested from the planning team. When Demand Planning Intelligence is accessible by all, a CXO or any non-planning team member can simply ask for these insights directly in ChatGPT, for example, and see and reason through them on their own. That puts product data at the center of shared organizational knowledge, strengthening decision-making across the business.
Context changes no longer wait for a data refresh
Supply chains can rapidly evolve due to context changes, such as a sudden supplier delay or a shift in growth strategy, that may never reach Intuendi simply because they’re missing from its main source of data. Users can now tell Intuendi about these changes in natural language and trigger its intelligence directly. Intuendi then translates that context into updated decisions and prescriptive insights.
Symphonie remains at the center
This doesn’t replace Symphonie. It extends it. Symphonie is still the dedicated experience inside Intuendi for planners who want to dig into a recommendation, investigate an exception, or work through planning data in depth.
Your preferred AI chatbot is a second way in. Where the chatbot handles the broader business context, Intuendi provides the specialized Demand Planning Intelligence. Together, they make it easier for every team to access the intelligence they need.
Building for where enterprise AI is going
We don’t think the future of supply chain software is a better dashboard, and we don’t think it’s realistic to ask a company to change the AI platform it’s already standardized on to get good demand planning intelligence. Marketing and finance teams already run a growing share of their work through AI assistants. Procurement and operations are heading the same direction.
MCP Connect makes sure Intuendi’s demand planning intelligence shows up in that world, instead of asking your teams to leave it.
How to access demand planning intelligence from your AI assistant
MCP Connect is available today. Intuendi connects to your ERP and sales channels, builds the forecasts and purchasing recommendations, and makes them available in Claude, ChatGPT and any other MCP-compatible assistant your teams already use.
If you are evaluating Intuendi, book a demo and we’ll show you how it works inside Claude and ChatGPT. If you already use Intuendi, our setup guide explains how to connect it to your assistant.
