Revolutionizing Supply Chain Management Through AI Demand Forecasting and Automation

On August 21, 2026, Funai Soken Supply Chain Consulting's consultant presented at an online seminar titled "AI Demand Forecasting x Automation for Supply Chain Reform," hosted by Mujin Japan. This seminar attracted a wide range of participants, including various companies grappling with challenges in supply chain management. The event aimed to offer new perspectives on how to leverage AI demand forecasting and automation to enhance operational efficiency in supply chains.

Background and Highlights of the Seminar

The seminar focused on critical issues faced by manufacturing logistics in sectors such as food, daily necessities, and machinery. It tackled challenges from both planning and logistical perspectives while advancing discussions on supply chain reforms. As a guest speaker, we emphasized that demand forecasting goes beyond mere numerical projections. It is essential for making informed decisions in sales and production planning. We also shared methods on how organizations can utilize forecasted data to drive business reforms effectively.

Participants expressed substantial interest in the challenges raised during the sessions. Many noted that the issues resonated with their current situations, providing valuable insights and potential solutions. Here are some of the significant challenges highlighted:

- Overlapping occurrences of stockouts and surplus inventory due to insufficient collaboration between sales, production, and logistics teams.
- Heavy dependence on Excel and individual experiences for demand forecasting, production planning, and logistics operations.
- Reliance on manual labor to respond to variability in product ranges and volumes, resulting in stalled automation efforts in logistics.
- Organizations exploring SCM systems and automation technologies struggle with defining their ideal state and determining appropriate steps to implement changes.
- Disconnection between management, planning, and operational teams, undermining the optimization of the entire supply chain.

Detailed Program Overview

The seminar was structured into two key presentations:

Session 1: AI Demand Forecasting as a Starting Point for Supply Chain Reform in Sales and Marketing

Speaker: Yoshizumi Nakano, Executive Officer, Funai Soken Supply Chain Consulting.
Content: Discussed various issues plaguing supply chains, including internal organizational barriers, challenges in shifting away from reliance on specific individuals, and emphasizing AI demand forecasting as the catalyst for reform.

Session 2: Practical Methods for Automating Supply Chains in Manufacturing Logistics

Speaker: Takeshi Shimada, Director and Head of Automation Strategy, Mujin Japan.
Content: Addressed the complexities within manufacturer logistics and presented actionable strategies to streamline operations.

Seminar Details

Date: August 21, 2026 (Friday)
Time: 14:00-15:20
Format: Online (via Zoom)
Cost: Free Entry
Organizer: Mujin Japan

This online seminar was aimed at providing a comprehensive understanding of the essential intersection between AI demand forecasting, automation, and effective supply chain management.

Related Consulting Material

Participants were also directed to additional resources, including:

- AI Demand Forecasting - For Food and Beverage Manufacturers in S&OP: Emphasizing the critical link between demand forecasting and supply chain strategy, this document offers guidance on developing a resilient and precise demand forecasting foundation.

- Download here

- AI Demand Forecasting - For Daily Necessities and Consumer Goods Manufacturers in S&OP: Similar to the previous document, this resource discusses strategies to adapt to rapid market changes effectively.

- Download here

The engagement was high, with insightful discussions that could guide operations and create movements toward effective automation and reform in supply chains.