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[Data] The Evolution of Supply Chain Execution by AI Agents

[Data] The Evolution of Supply Chain Execution by AI Agents

The agent-based execution is the "missing link" that connects intelligence to actual results!

This document is a report that explains the requirements for transforming a volatile environment into a sustainable decision-making advantage. It includes the current state of AI investment and the evolution towards agent-based execution in AI agents and supply chains. We also introduce explanations of production-level AI agents, so please take a moment to read it. 【Contents】 ■ The Paradox of AI Agents ■ Why Many AI Agent Strategies Fail to Deliver Results ■ The Missing Layer: Orchestration Based on Business Context ■ Execution Framework: Analyze Optimize Orchestrate ■ What is a Production-Level AI Agent? ■ Strategic Points Supply Chain Leaders Should Focus On ■ The Future Lies in "Execution" *For more details, please download the PDF or feel free to contact us.

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project44 Business Introduction

project44 Business Introduction

Integrate fragmented logistics data to enable AI-driven decision-making and promote execution and automation!

project44 is a company that provides a decision intelligence platform for the modern supply chain. Through value-based AI, it transforms fragmented logistics management into integrated intelligence, providing certainty in global supply chain operations. With the industry's largest ecosystem, it offers visibility for over 1.5 billion shipments annually to more than 1,000 of the world's leading brands. 【Features of project44's Decision Intelligence Platform】 ■Connect: Connecting ■See: Visualization ■Act: Execution ■Automate: Automation *For more details, please download the PDF or feel free to contact us.

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[Information] Gradual Construction of an Autonomous Supply Chain

[Information] Gradual Construction of an Autonomous Supply Chain

We will explain how to safely and effectively implement AI to realize a self-regulating supply chain!

This document is a white paper summarizing the core role of AI agent orchestration. It provides insights on data quality and transparency, as well as an approach to gradual evolution towards autonomy. It includes descriptions of the roles and values of agents, so please utilize it when selecting products. 【Contents (partial)】 ■ Organizing the confusion surrounding agents ■ The foundation of trust: data quality and transparency ■ Agents as entities that enhance data quality ■ Steps towards autonomy: a gradually evolving approach ■ Realizing decision-making: the AI agent ecosystem ■ Preparing for the future *For more details, please download the PDF or feel free to contact us.

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A clear lesson demonstrated by nine chaotic events.

A clear lesson demonstrated by nine chaotic events.

The uncertainty in the supply chain has transformed into a constant "chaos"! An explanation of operations in the new normal.

This document analyzes the supply chain disruptions that occurred over the past three years and explains the new normal. It includes a detailed timeline of the successive supply chain disruptions and three key insights indicated by the data. We also highlight the importance of decision-making intelligence, so please take a moment to read it. [Contents] ■ A retrospective on the past three years: Successive supply chain disruptions ■ Three key insights indicated by the data ■ Decision-making intelligence is the key to supply chain operations in the new normal ■ project44 *For more details, please download the PDF or feel free to contact us.

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[Data] 16 Weeks Since the Turmoil in the Strait of Hormuz - Impact on Shipping Networks

[Data] 16 Weeks Since the Turmoil in the Strait of Hormuz - Impact on Shipping Networks

While the detours in container shipping routes have eased, port congestion remains at three times the level compared to before the conflict.

This document is a research report summarizing the impact of the turmoil in the Strait of Hormuz on the container shipping network. It provides a detailed explanation of the trends in the number of diversion cases over a 16-week cumulative period, as well as the import dwell times at various ports and their effects on logistics. The report also includes the status of ports that absorbed diverted cargo and trends in shipping along the Cape of Good Hope route, so please take a moment to read it. 【Contents (partial)】 ■ Summary ■ Overview ■ Trends in the number of diversion cases over 16 weeks ■ Ports that absorbed diverted cargo *For more details, please download the PDF or feel free to contact us.

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[Data] Reasons why 95% of AI agent PoCs fail

[Data] Reasons why 95% of AI agent PoCs fail

Why AI Agent PoCs Fail! An Explanation of the Reasons and What Leaders Should Change.

This document is an explanatory material summarizing the challenges of AI implementation in the supply chain domain and approaches towards success. It details five reasons why AI pilot projects fail to function in business execution and provides information on execution frameworks. It also introduces what to check when evaluating AI vendors, so please take a moment to read it. 【Contents (partial)】 ■ The problem lies not in the AI model, but in execution ■ Reasons why AI agent PoCs in the supply chain domain fail to achieve results ■ The cost implications of not achieving results ■ The missing layer of agent-led execution *For more details, please download the PDF or feel free to contact us.

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[Case Study of Visualization Solution Implementation] Roland DG Corporation

[Case Study of Visualization Solution Implementation] Roland DG Corporation

We will introduce a case where significant compression of safety stock and cost reduction were achieved through the analysis and stabilization of transportation lead times!

We would like to introduce a case study of our visualization solution implemented for Roland DG, a provider of digital solutions. They have been transitioning to a replenishment production method for their production planning, but the prolonged transportation lead times due to geopolitical risks and other factors have been a challenge. With the introduction of this solution, stakeholders can now check the situation in real-time. Additionally, they have achieved route optimization through comparative analysis of transit and direct flights. 【Implementation Effects】 ■ Early detection of transportation delay risks through improved communication ■ Visualization of bottlenecks through lead time breakdown ■ Significant reduction of safety stock due to stabilization of transportation lead times ■ Avoidance of emergency costs through improved accuracy in air transport decisions *For more details, please download the PDF or feel free to contact us.

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Decision-Making Intelligence Platform

Decision-Making Intelligence Platform

Integrating predictive insights, AI agents, and real-time visualization into a single platform!

The decision-making intelligence platform we offer enables confident decision-making in almost real-time by providing reliable insights. Not only can it predict risks, but it also allows for autonomous responses, achieving a self-healing supply chain that eliminates friction from management processes. Built on one of the world's largest transportation datasets, fragmented operations are seamlessly connected. 【The power of dedicated AI built for specific purposes】 ■ AI Disruption Navigator ■ AI Data Quality Agents ■ AI Supply Chain Assistant "MO" ■ Predictive Multimodal ETA (Estimated Time of Arrival) ■ Smart Geofencing *For more details, please download the PDF or feel free to contact us.

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Intelligent Transportation Management Solution 'iTMS'

Intelligent Transportation Management Solution 'iTMS'

By seamlessly connecting data and execution, we support the optimization of global supply chains!

We would like to introduce our intelligent transportation and delivery management solution. This solution is not an add-on to a visualization platform, but rather built as the core of a decision-making intelligence platform. It is a flexible, modular, cloud-native solution equipped with powerful transportation planning and execution capabilities. 【Key Features】 ■ Instant quote confirmation & booking ■ Multimodal transportation management ■ Dynamic load building ■ Freight procurement & mini-bids ■ Yard integration ■ Automation of invoice auditing *For more details, please download the PDF or feel free to contact us.

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Case Study of Maritime Transportation Visualization: Continental

Case Study of Maritime Transportation Visualization: Continental

By visualizing maritime transportation, we achieve improved predictability, optimized carrier management, and workflow automation!

We would like to introduce a case where our visualization solution was implemented for Continental, a company that develops and provides advanced technology and services. Due to the impact of the COVID-19 pandemic, logistics were disrupted, leading to challenges in tracking the current locations of thousands of containers in transit. After the implementation of "project44," the majority of maritime cargo became trackable, preventing production stoppages due to shipping delays. It also reduced the burden of manual work and contributed to the streamlining of operations. 【Key Factors for Implementation】 ■ High-precision ETA (Estimated Time of Arrival): Enables advance planning based on reliable arrival forecast information. ■ Seamless data integration: Direct integration with existing SAP systems eliminates the need for manual input and updates. ■ Disruption response and management: Exception management and incident monitoring functions allow for the early detection of potential issues. *For more details, please download the PDF or feel free to contact us.

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[Supply Chain Visualization Case Study] Suntory Global Spirits

[Supply Chain Visualization Case Study] Suntory Global Spirits

A case study demonstrating cost reduction and improved agility in the supply chain through inventory level visualization!

We would like to introduce a case study of our "project44" implementation for Suntory Global Spirits, which sells popular spirits in countries around the world. During the pandemic, global logistics costs have risen significantly, and inefficiencies caused by siloed data and reliance on manual processes have been a challenge. We established a control tower that visualizes across multiple transportation modes and manages in-transit inventory. In just a short period after implementation, the overall performance of the supply chain has improved. 【project44 Solution】 - Visualization across multiple transportation modes and management of in-transit inventory - End-to-end predictive ETA (Estimated Time of Arrival) information - Insights on past carrier performance - Information on containers that may incur detention or demurrage costs - Customizable data filters, exceptions, and alerts *For more details, please download the PDF or feel free to contact us.

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