Miro and Fortience Consulting Launch New Solution "SCM Decision-Making Canvas" to Continuously Enhance Decision-Making Quality and Speed

AI innovation workspace Miro® (Headquarters: California, USA; Japan Branch: Chiyoda-ku, Tokyo; Representative Executive Officer and President: Takayasu Mukaiyama, hereinafter "Miro") and Fortience Consulting Inc. (formerly KUNIE Inc.; Headquarters: Chiyoda-ku, Tokyo; Representative Director and President: Shigeki Yamaguchi, hereinafter "Fortience") are launching their first collaborative solution, "SCM Decision-Making Canvas," in July 2026. This solution supports information organization and inter-departmental dialogue in S&OP and supply-demand adjustment meetings, aiming to enhance the quality and speed of decision-making.

This solution continuously operates and accumulates SCM decision-making processes, including S&OP and supply-demand adjustment meetings, as a single learning cycle encompassing "preparation of discussion points before the meeting," "dialogue and judgment during the meeting," and "organization of decisions and rationale after the meeting." By leveraging Miro's visual collaboration platform and AI support for extracting discussion points and organizing information, it creates an environment where participants can focus on essential discussions such as evaluating options and risks. Furthermore, by accumulating decisions and their rationale from each meeting, it enables continuous improvement in decision-making quality and speed by applying past decisions to future judgments.

Background

In recent years, the environment surrounding corporate supply chains has become increasingly complex and uncertain due to factors such as intensified demand fluctuations and geopolitical risks. In such an environment, it is crucial to identify changes early and make decisions while quickly sharing assumptions and options among stakeholders, rather than waiting for all information to be available. However, in many companies' SCM meetings, a significant amount of time is spent explaining numbers and sharing information, often leaving only "what was decided" without fully sharing the premises and rationale for the decisions, leading to a structure that makes it difficult to achieve consensus and rapid response.

To address these challenges, Miro and Fortience combined their expertise in SCM reform and business transformation to launch a collaboration in May 2026, aiming to realize "creative SCM operations" where humans and AI collaborate to advance decision-making and ideation.

And now, as the first outcome of our collaboration, we are offering this solution that supports advanced decision-making by focusing on human judgment, dialogue, and ideation through AI and digital technologies.

Figure 1: Past and Future Decision-Making Processes

【Solution Overview】

The "SCM Decision-Making Canvas" redesigns the SCM meeting and decision-making process into the following three phases, operating as a single learning cycle on Miro. AI handles "content preparation" such as data analysis and information organization, allowing humans to focus on "contextual dialogue" such as assumptions and value judgments. On the Miro canvas, multiple participants can input opinions simultaneously while viewing the same information, and it's possible to record who spoke from what perspective, thereby advancing consensus-building while enhancing the quality and transparency of dialogue.

It is important to note that AI does not replace decision-making but supports human judgment by extracting discussion points, visualizing risks and opportunities, organizing assumptions, and posing questions.

1. Before the Meeting: Preparation of Discussion Points

Based on data such as sales, production, and procurement, AI extracts and organizes necessary discussion points, risks, and opportunities in advance. Discussion points are visualized from both demand-side and supply-side perspectives, allowing participants to share and comment on the agenda and prerequisite information before the meeting. By organizing the discussion points and the information/order to be confirmed beforehand, participants align on the starting point for discussion. This transforms the meeting day from a mere reporting session into a meaningful dialogue.

Furthermore, by having AI verbalize participants' judgment criteria and implicit assumptions on the canvas, it helps users become aware of unconscious biases and discrepancies in understanding among other participants, promoting multifaceted consideration based on different standpoints and judgment criteria.

2. During the Meeting: Dialogue and Judgment

All participants can simultaneously input their departmental views on the same canvas, visualizing differences in opinions on the spot. AI functions operating on Miro read the context of the discussion and dynamically support the structuring of discussion points and the comparison of merits and risks for each option, enabling participants to focus on essential issues such as medium- to long-term risks and trade-offs, and proceed with rapid decision-making.

3. After the Meeting: Organization of Decisions and Rationale

AI summarizes the meeting discussions and organizes and accumulates the premises and rationale behind "why that decision was made" along with the decisions themselves. For knowledge accumulation, a process is established where the content organized by AI is confirmed and approved by the person in charge before being registered as organizational knowledge. By having humans judge and register the content rather than it being automatically accumulated, the quality of knowledge and organizational consensus are ensured. The accumulated decisions and context can be reused as organizational knowledge, independent of specific individuals, for future decision-making or at other locations. Task lists are also automatically organized, leading to a learning cycle that continuously enhances the quality of judgment.

About Miro

Miro is an AI innovation workspace that connects teams and AI to quickly plan, co-create, and build the next innovation. Used by over 250,000 companies and 100 million users worldwide, its AI-first canvas, a space for co-creation, promotes cross-functional collaboration and provides an environment that facilitates smooth progress from initial problem discovery to final deployment. Miro's AI Workflows, which utilize the canvas as a prompt, create a seamless team workflow, expand new ways of working, and drive organizational transformation. Founded in 2011, Miro currently has 14 offices worldwide and over 1,600 employees. For more information, please visit Miro's Japanese website: https://miro.com/ja/

About Fortience's SCM and S&OP Support

Fortience Consulting supports corporate supply chain transformation based on its knowledge and practical experience in next-generation global SCM construction and S&OP (Sales and Operations Planning). By combining high expertise and deep business understanding with the digital technology and implementation capabilities of the NTT DATA Group, as well as NTT's R&D outcomes, we promote the creation of mechanisms that can accelerate decision-making and execution even in rapidly changing environments.

In particular, in addition to SCM reform planning/reform workshops, SCM/S&OP maturity diagnosis, and SCM data insights, we provide comprehensive support from concept formulation to implementation, establishment, and human resource development, including supply chain risk management, SCM-ESG (support for building responsible human rights supply chains), supply chain GX, supply chain design/network redesign, Global SCP/S&OP operations construction, demand planning advancement, and SCM human resource assessment/training.

Note: May 27, 2026, News Release "Fortience Consulting and Miro Collaborate in the Supply Chain Domain": https://www.fortience.com/company/newsroom/20260527/

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