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).
What this means for your business
Now, Intuendi’s Supply Chain Intelligence isn’t something only planners can access, but becomes something every team has access to. With MCP Connection, procurement, finance, operations, and the exec team can all pull Intelligence directly into the conversational AI tool they already use, without switching over to Intuendi and having to learn 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 MCP exactly?
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.
Some use cases unlocked by MCP
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, not planner-only 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 have to 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. This isn’t a problem anymore. Now users can inform Intuendi of 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 are already running most of their work through AI assistants. Procurement and operations are heading the same direction.
MCP Connect is us making sure Intuendi demand planning intelligence shows up in that world, rather than asking your teams to leave it.
How to access Demand Planning Intelligence through AI platforms
Our MCP support is available today. If your organization is already building AI workflows, connect Intuendi to your preferred AI platform now.
