2026 Supply Chain Compass: How Supply Chain leaders are navigating complexity
The Supply Chain Compass 2026 report surveys nearly 700 supply chain leaders, exploring how they are navigating a rapidly evolving landscape shaped by AI, disruption, and rising expectations. While nearly half express strong optimism about the future, the report reveals that this confidence is driven by greater visibility, stronger technology adoption, and more integrated, data-driven supply chain strategies.
一次掌握 Blue Yonder AI 驅動的倉儲管理、SaaS 移轉、資安與使用體驗的完整解答。
This resource provides clear answers to the most common questions about our next-generation, AI-driven warehouse management solution. Learn how AI-powered WMS enhances efficiency through machine learning, supports seamless migration to SaaS, ensures data security, and delivers an intuitive user experience. Whether you’re exploring advanced slotting, robotics integration, or planning your upgrade path, this FAQ is your go-to guide for understanding the future of warehouse operations.
一般資訊
We designed AI-powered WMS as our next-generation warehouse management solution (WMS). It leverages artificial intelligence (AI) and machine learning (ML) to optimize warehouse operations, improve decision-making, and enhance overall efficiency. Unlike traditional systems that rely solely on static rules, our AI-powered WMS learns from your data to predict demand, optimize slotting, and orchestrate resources in real-time. It represents a shift from reactive execution to proactive, autonomous supply chain management.
AI-powered WMS is a SaaS-only solution. The advanced AI and machine learning capabilities require the computational power and scalability of the cloud to function effectively. If you choose to remain on-premise, we will continue to support your operations with technical stack updates, security patches, and bug fixes. However, the AI-native features, such as advanced slotting agents and predictive resource orchestration, are exclusive to the SaaS environment. The only exception is the Warehouse Ops Agent (specifically for briefs and analysis), which is available for on-premise use.
When you invest in AI-powered WMS, we deploy the full WMS stack. This includes:
既有功能：您多年來仰賴的完整且成熟的 WMS 功能。
內建 WES：我們的倉庫執行系統 (WES)，包含任務管理與機器人中樞。
資源調度：用於高效管理人力與機器資源的工具。
作業最佳化：可提升處理量並降低移動時間的邏輯機制。
我們亦提供可選功能，例如倉庫人力管理 (WLM) 與 AI 原生功能。您可使用每月點數來啟用這些可選服務，且點數可於不同服務間通用。這可讓您將資源精準投入至倉庫最需要的環節。
We built AI-powered WMS to drive interoperability. The platform integrates seamlessly with various automation providers, allowing us to orchestrate both human and machine resources toward single service level agreements (SLAs). The embedded WES moves beyond simple integration to true orchestration. It improves throughput by leveraging automatic interleaving and consolidation opportunities. Furthermore, the platform connects easily with other Blue Yonder solutions—such as Yard Management and Transportation Management—to ensure end-to-end visibility and synchronized execution across your network.
No, the AI-native functionality in AI-powered WMS is additive. We have not removed any of the functionality or hard rules that your operations depend on today. This approach puts you in control of your own pace of change. For example, you can choose to use the AI slotting agent in just one zone of a warehouse to test it, while maintaining standard rules elsewhere. Different warehouses in your network can move at different speeds based on their specific needs and complexity.
The majority of the agentic AI and AI-powered features are available starting with the 2025.2 release of the SaaS WMS. If you are migrating from an older version, our upgrade scripts will guide your environment sequentially to this version to ensure data integrity and configuration retention.
資安與數據隱私權
Blue Yonder WMS 及其他 Blue Yonder 產品中的數據，皆完整保留於 Blue Yonder 平台的安全範圍內。結構描述與中繼數據皆屬於我們的專有智慧財產，並嚴格依循相關保護標準處理。
不會。您的資訊安全地存放於 Blue Yonder 平台內，且不會與其他客戶共用。每位客戶的資訊皆完全隔離，僅供該客戶存取。機器學習（ML）模型與代理皆以單一客戶為單位進行訓練，僅使用您專屬環境中的數據。
我們維持嚴格的資安標準。所有數據皆嚴格存放於 Blue Yonder 平台的「四面牆」內，適用於 WMS 與其他產品。我們的安全措施確保只有您（客戶本人）能夠存取您的數據。有關具體的資安協議與認證資訊，請聯繫您的客戶服務團隊，以獲取我們資安團隊提供的詳細資安說明。
使用者體驗 (UX/UI)
Customers moving from heritage WMS to AI-powered WMS will enjoy the same familiar user experience they are accustomed to, ensuring a smooth transition with minimal retraining. However, we are introducing significant enhancements to drive efficiency. The WebUI will feature a new agentic experience that allows users to interact with the WMS like never before, providing real-time answers to questions through both text and visual elements.
可以。您可以透過 Web UI，直接與倉儲作業現場的員工溝通。此功能可透過平板電腦或手機等裝置，使用「傳送 RF 訊息」功能表選項，讓您能與現場人員保持即時同步。
Yes. We recognize that navigating multiple tabs to view critical inventory data is inefficient. Our AI-powered WMS offers an improved user experience that consolidates LPN, location, status, and lot/batch codes into a single, unified inventory view to streamline your operations.
培訓和變革管理
We are actively building comprehensive education courseware on the new capabilities. Since ML and AI is new to WMS, we are still learning what information is most useful to you. Please share your learning interests and feedback with us so we can deliver the most relevant training, enablement and certifications.
隨著您導入自我學習技術，數據品質將變得更加關鍵。「在庫存進入倉庫前於碼頭進行整理」的舊觀念已不再可行。供應商合規與主數據管理 (MDM) 流程的重要性日益提升，因為 ML 和 AI 的智慧程度取決於您提供的數據品質。儘管系統能處理部分雜訊，但「垃圾進，垃圾出」的基本原則依然適用。
您無需聘請資料科學家或 ML 專家，即可使用我們 WMS 的 ML 和 AI 功能。所有與機器學習相關的複雜作業，皆由我們負責處理。不過，我們也開始看到部分客戶有意使用自身資訊建立模型，而我們的平台亦支援此作法。最主要的轉變，在於既有營運團隊需調整心態，與自我學習系統協同合作。
移轉與版本管理
可以。我們提供專屬的移轉策略，結合專業服務與 AI 驅動工具，以確保更順暢且加速的移轉流程。我們的資料庫無關移轉工具支援所有 Blue Yonder WMS 的移轉作業，並透過大型語言模型 (LLM) 提供結構描述對應與程式碼自動產生的加速整合能力。雲端原生 WMS 支援所有既有設定，現有擴充功能僅需進行小幅調整，即可相容於可安全更新的架構。
The migration path depends on your current version, but it is a straightforward process. You run the standard upgrade scripts to bring your environment to the 2024 version, and from there, another script transitions you to AI-powered WMS. We rearchitected the solution while keeping the core schema and business logic intact, allowing us to port forward your configuration, setup, and data. The main effort focuses on two areas: integration and extensions, and we have tooling to support both.
No, you can go straight to AI-powered WMS. While our upgrade scripts are iterative and will step your environment through each version sequentially in the background (e.g., from 2023 to 2024, then to 2025), your user experience will be a direct transition from your current version to AI-powered WMS. For example, the 2024 version will only exist for the few hours it takes to run the 2025 conversion scripts.
Dispatcher functionality is converging into the AI-powered WMS, which will be our single WMS of the future across all industries, complexities, and warehouse sizes. We will continue to support Dispatcher with tech stack updates, bug fixes, security patches, and customer-funded innovation. We are also developing migration tooling to simplify your conversion to AI-powered WMS.
AI 和 ML 功能
The AI-native functionality in our AI-powered WMS is additive, meaning we haven't removed any of the rules-based functionality you depend on. This allows you to control your pace of innovation. For example, you can test the AI slotting agent in one warehouse zone while using existing rules elsewhere. The AI and ML capabilities enhance operations by:
不需要，部署我們 WMS 的 AI 或 ML 功能時，您無須具備任何機器學習或 AI 方面的專業人士。在公司層級，所有機器學習相關作業皆由我們負責處理。雖然您可以使用自數據訊建立模型，但並不需要直接操作或處理我們所建置的模型。您的營運團隊需要理解如何與這些自學習系統協同作業，但無需深入瞭解模型本身的運作機制。
