demand forecast

简明释义

需求预测

英英释义

例句

1.We use historical data to improve our demand forecast (需求预测) accuracy.

我们使用历史数据来提高demand forecast（需求预测）的准确性。

2.The sales team relies on the demand forecast (需求预测) to plan their marketing strategies.

销售团队依赖于demand forecast（需求预测）来制定市场营销策略。

3.Accurate demand forecasts (需求预测) are crucial for managing inventory levels effectively.

准确的demand forecasts（需求预测）对于有效管理库存水平至关重要。

4.A well-prepared demand forecast (需求预测) can help avoid stockouts and overstock situations.

一个准备充分的demand forecast（需求预测）可以帮助避免缺货和过剩情况。

5.The company adjusted its production schedule based on the latest demand forecast (需求预测) for the upcoming holiday season.

公司根据即将到来的假期季节的最新demand forecast（需求预测）调整了生产计划。

作文

In today's rapidly changing market, businesses must rely on accurate data to make informed decisions. One of the most critical aspects of business planning is the demand forecast, which refers to the process of estimating future customer demand for a product or service. A well-executed demand forecast can help companies optimize their inventory levels, manage production schedules, and allocate resources more efficiently. This essay will explore the significance of demand forecasting in various industries and how it contributes to overall business success.The importance of demand forecasting cannot be overstated. For instance, in the retail industry, understanding consumer behavior and anticipating trends is essential for maintaining stock levels that meet customer needs. If a retailer fails to accurately predict the demand for a popular item, they may face stockouts, leading to lost sales and dissatisfied customers. Conversely, overestimating demand can result in excess inventory, which ties up capital and increases storage costs. Thus, a precise demand forecast allows retailers to strike a balance between supply and demand, ensuring that they have the right products available at the right time.In the manufacturing sector, demand forecasts play a crucial role in production planning. Manufacturers need to know how much of a product to produce to meet expected sales without overproducing. An inaccurate demand forecast can lead to inefficiencies in the production process, where resources are wasted on producing items that may not sell. Furthermore, an effective demand forecast enables manufacturers to streamline their supply chain operations, reducing lead times and improving responsiveness to market changes.Additionally, the service industry also benefits from demand forecasting. For example, airlines and hotels use demand forecasts to determine pricing strategies and manage bookings. By analyzing historical data and market trends, these businesses can anticipate periods of high and low demand, allowing them to adjust prices accordingly and maximize revenue. A well-informed demand forecast helps service providers maintain optimal staffing levels, ensuring that they can accommodate customers without incurring unnecessary labor costs.Moreover, the rise of technology and big data analytics has transformed the way businesses approach demand forecasting. Advanced algorithms and machine learning techniques enable organizations to analyze vast amounts of data, uncovering patterns and insights that were previously difficult to identify. This data-driven approach enhances the accuracy of demand forecasts, allowing companies to respond more swiftly to market fluctuations and consumer preferences.In conclusion, the demand forecast is an indispensable tool for businesses across various industries. By providing valuable insights into future customer demand, it enables companies to optimize their operations, reduce costs, and enhance customer satisfaction. As markets continue to evolve, the ability to accurately predict demand will remain a key factor in achieving long-term success. Therefore, investing in robust demand forecasting methods and technologies is essential for any organization looking to thrive in today’s competitive landscape.

在当今快速变化的市场中，企业必须依赖准确的数据来做出明智的决策。商业规划中最关键的方面之一是demand forecast，即估计未来客户对产品或服务需求的过程。一个成功的demand forecast可以帮助公司优化库存水平、管理生产计划，并更有效地分配资源。本文将探讨demand forecasting在各个行业中的重要性，以及它如何促进整体商业成功。demand forecasting的重要性不容小觑。例如，在零售行业，了解消费者行为和预测趋势对于维持满足客户需求的库存水平至关重要。如果零售商未能准确预测某一热门商品的需求，他们可能会面临缺货，从而导致销售损失和客户不满。相反，过高估计需求可能导致库存过剩，这占用了资本并增加了存储成本。因此，准确的demand forecast使零售商能够在供需之间找到平衡，确保他们在正确的时间提供正确的产品。在制造业中，demand forecasts在生产计划中发挥着至关重要的作用。制造商需要知道生产多少产品以满足预期销售，而不至于过量生产。不准确的demand forecast可能导致生产过程中的低效率，浪费资源用于生产可能不会销售的产品。此外，有效的demand forecast使制造商能够简化供应链操作，减少交货时间，提高对市场变化的响应能力。此外，服务行业也受益于demand forecasting。例如，航空公司和酒店利用demand forecasts来确定定价策略和管理预订。通过分析历史数据和市场趋势，这些企业可以预测需求高峰和低谷，从而相应调整价格，最大化收入。经过充分信息的demand forecast帮助服务提供商维持最佳的员工水平，确保他们能够满足客户需求而不产生不必要的劳动成本。此外，技术和大数据分析的兴起改变了企业处理demand forecasting的方式。先进的算法和机器学习技术使组织能够分析大量数据，发现以前难以识别的模式和洞察。这种数据驱动的方法提高了demand forecasts的准确性，使公司能够更迅速地应对市场波动和消费者偏好。总之，demand forecast是各个行业企业不可或缺的工具。通过提供未来客户需求的宝贵见解，它使公司能够优化运营、降低成本并提升客户满意度。随着市场的不断演变，准确预测需求的能力将始终是实现长期成功的关键因素。因此，投资于强大的demand forecasting方法和技术对于任何希望在当今竞争激烈的环境中蓬勃发展的组织来说都是至关重要的。