Artificial intelligence—Computer programs that can learn and reason in a manner similar to humans. The problem is defined in terms of states and operators to generate a search space that is examined for the best solution. In contrast, conventional programming collects and processes data by algorithm or fixed step-by-step procedures (ASCM Supply Chain Dictionary).

人工智能——能够以类似于人类的方式学习和推理的计算机程序。人工智能根据状态和运算符来定义问题，以生成一个搜索空间用于找到最佳解决方案。相比之下，传统编程是通过算法或固定的分步程序收集和处理数据的（ASCM供应链词典）。

Navigating the complexities of the modern supply chain, artificial intelligence emerges as a guiding force, optimizing and innovating at every step. Let's explore how AI is making a significant impact.

在应对现代供应链的复杂性时，人工智能成为引导力量，对供应链管理的每一个环节都进行着优化和创新。让我们探讨一下人工智能是如何产生重大影响的。

First up, demand forecasting. AI analyzes historical transactional data from supply chain management systems, whether it's from ERP systems or even an Excel spreadsheet. By considering multiple factors like seasonality and customer behavior, AI forecasts demand with unparalleled accuracy, which helps organizations make more informed decisions about inventory levels, production planning, and logistics.

首先提到的是需求预测。人工智能分析来自供应链管理系统的历史交易数据，无论是来自 ERP 系统还是 Excel 电子表格。在考虑季节性和客户行为等多种因素后，人工智能以无与伦比的准确性预测需求，这有助于企业在库存水平、生产计划和物流方面做出更明智的决策。

Next, inventory management. Inventory is a major asset for many companies. AI ensures it's managed right by optimizing stock based on demand forecasts and other variables. The result? Reduced costs from excess inventory and consistently meeting customer demands.

接下来是库存管理。库存是许多公司的主要资产。人工智能根据需求预测和其他变量来优化库存，确保库存得到正确管理。结果？降低过剩库存的成本并持续满足客户需求。

Then there's order fulfillment. AI manages order fulfillment centrally, optimizing routes based on various factors, ensuring timely deliveries and reduced costs.

然后是订单履行。人工智能集中管理订单履行，根据各种因素优化路线，确保及时交货并降低成本。

Real-time monitoring and predictive maintenance is another game-changer. Using IoT sensors, AI monitors operations in real-time, predicting when maintenance is needed. This proactive approach extends asset life and ensures operational efficiency.

实时监控和预测性维护是另一个游戏规则改变者。人工智能使用物联网传感器实时监控操作，预测何时需要维护。这种积极主动的方法可延长资产寿命并确保运营效率。

The impact of AI on traditional supply chain planning is transformative. It enhances efficiency, accuracy, and responsiveness. By leveraging advanced data analytics, machine learning, and automation technologies, AI paves the way for a more efficient and resourceful supply chain.

人工智能对传统供应链规划的影响是革命性的。它提高了效率、准确性和响应能力。通过利用先进的数据分析、机器学习和自动化技术，人工智能为更高效、资源更丰富的供应链铺平了道路。