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元宇宙将从4个方面使供应链网络受益
4 ways the metaverse will benefit supply chain networks
元宇宙就在这里，它承诺改变世界的工作和生活方式。互联网的下一个发展将融合数字和实体。它将使人们从任何地方走到一起，共享新的体验。对于企业来说，这意味着简化客户生活的新方法;预测和预测整个供应链网络的市场变化和相关风险;基于增长、盈利能力、可持续性、多样性和包容性的平衡观点，管理业务绩效和决策。
The metaverse is here, and it promises to change the way the world works and lives. This next evolution of the internet will fuse the digital and the physical. It will enable people to come together from anywhere in a new, shared experience. For businesses, that means new ways to simplify customer lives; anticipate and predict market changes and associated risks across the supply chain network; and manage business performance and decisions based on a balanced view across growth, profitability, sustainability, and diversity and inclusion.
这就是元宇宙的作用，供应链领导者看到了它的潜力。根据我们2022年埃森哲科技愿景研究，大约三分之二的供应链管理高管认为元宇宙将对他们的组织产生积极影响。让我们看看是如何做到的。
That’s the metaverse in action, and supply chain leaders see the potential. According to our 2022 Accenture Technology Vision research, about two-thirds of supply chain management executives think the metaverse will have a positive impact on their organization. Let’s look at how.
趋势#1:WebMe:供给和需求的转变
元世界将顾客需要的东西和公司拥有的东西结合在一起。通过对流程、设施、库存和产能提供更好的可视性，它正在帮助企业消除供应限制。通过增加对客户需求的理解，它使需求完全“可知”。从双方获得洞见有助于协调供需关系。
以零售商及其供应商的元宇宙“协作室”为例。团队可以虚拟地聚集在这个房间里，审查预期的销售预测、预期的生产计划和可能影响生产数量的供应商限制。他们还可以在一个沉浸式供应链网络地图上看到库存的确切位置，虚拟地巡视关键港口，以确定可能的运输延误，因为拥堵，并建模可能的替代方案，以确保产品转移到正确的商店和货架上。
Trend #1: WebMe: supply and demand, transformed
The metaverse is bringing together what customers want with what companies have. By providing better visibility into processes, facilities, inventory and capacity, it is helping companies remove supply constraints. By providing an increased understanding of what customers want, it makes demand fully “knowable.” Getting insights from both sides could help harmonize supply and demand.
Take the example of a metaverse “collaboration room” for a retailer and its suppliers. Teams could gather virtually in this room to review expected sales forecasts, projected production plans and possible supplier limitations that could affect manufacturing volume. They could also see, on an immersive supply chain network map, exactly where inventory is, virtually walk through key ports to identify possible shipping delays because of congestion, and model possible alternatives to keep products moving to the right stores and shelves.
趋势2:可编程世界:产品，进化
在元宇宙中，人们将设计他们的环境以满足他们的需求，并期望无缝的数字和物理导航。这些变化将为新的世界中更丰富的互动铺平道路。
例如，想象一个铝饮料罐，它“知道”关于自己的两件重要的事情:它的位置和它的库存状态。利用边缘计算，可编程罐可以触发自动补充和路由决策。这种解决方案将确保客户在需要的时间和地点获得产品。该解决方案还可以帮助形成需求，并根据客户需求的变化自动调整价格，这将提高利润率和整体盈利能力。
Trend #2: Programmable world: products, evolved
In the metaverse, people will design their environments to meet their needs and expect seamless digital and physical navigation. These changes will pave the way for richer interactions in a new kind of world.
For example, imagine an aluminum beverage can that “knows” two important things about itself: its location and its inventory status. Using edge computing, the programmable can could trigger automatic replenishment and routing decisions. This solution would ensure customers get the product when and where they need it. The solution could also help shape demand and automatically adjust prices based on changes in what customers want—which would enhance margins and overall profitability.
趋势#3:不真实:完美数据，实现
在元宇宙中，数据可能会有新的含义，因为人工智能将能够生成合成内容，即“完美数据”。这些数据没有历史背景;因此，它可以立即适应当前的情况。
例如，在疫情期间，公司无法准确预测供应或需求。他们依靠过去的数据来度过前所未有的难关。大流行年份(2020-21年)的数据也是如此，无法用于预测2023年及以后的情况。有了人工智能生成的合成数据，企业可以制定预测，完美地反映当时他们和市场的状况。
Trend #3: The unreal: perfect data, realized
In the metaverse, data will likely take on a new meaning because AI will be able to generate synthetic content that’s “perfect data.” Such data does not have historical context; therefore, it can be instantly adapted to the current situation.
For instance, during the pandemic, companies couldn’t accurately forecast supply or demand. They were banking on past data to get them through an unprecedented situation. The same holds true for data from the pandemic years (2020–21), which cannot be used to forecast for 2023 and beyond. With AI-generated synthetic data, companies can develop forecasts that perfectly reflect where they and the market are at that moment.
趋势#4:计算不可能:无法解决的，已解决的
新兴机器正在帮助解决当前计算能力的限制。这些机器将使供应链网络能够改进流程、计划和库存。使用新的计算能力，公司将能够降低成本，更好地满足客户需求，并推动更大的弹性和可持续性。
例如，利用以前无法想象的计算能力和元宇宙“弯曲时间和空间连续体”的能力，公司可以消除供应链规划和执行之间的差距。他们将能够查看整个供应链网络——从供应商到最终客户——以实时持续平衡供需。要利用元宇宙带来越来越细粒度的客户和供应商数据的能力，尤其需要这种能力。
Trend #4: Computing the impossible: the unsolvable, solved
Emerging machines are helping address the limits of current computing power. These machines will enable supply chain networks to improve processes, plans and inventory. Using the new compute capability, companies will be able to reduce costs, better meet customer demands, and drive greater resilience and sustainability.
For example, with previously unimaginable computing capacity and the metaverse’s ability to “bend the time and space continuum,” companies can get rid of the gap between supply chain planning and execution. They will be able to view the entire supply chain network—from suppliers to end customers—to continually balance supply and demand in real time. This kind of power will be especially needed to take advantage of the metaverse’s ability to bring in increasingly more granular customer and supplier data. |
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发表于 2022-12-2 11:36:33