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供应链规划的未来数字化:利用可操作的数据加强多企业协作

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With lead times longer than ever, raw materials shortages, and logistical nightmares across the globe, supply chain planning has been brought to the forefront of business strategies. Consumer demands used to be more predictable but now, historical data is useless in demand sensing and forecasting. To combat unpredictable challenges, real-time, actionable data and supplier collaboration are crucial.

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Businesses can’t continue to function efficiently with metrics that only give them backward views of data. There needs to be a shift in focus to the future, with scenario forecasting and risk mitigation taking a bigger role in supply chain planning.

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Forward-looking and actionable data is just the beginning though. There is still so much uncertainty that is out of planners’ control. External data is as important as internal data, which is why enhancing supplier and partner collaboration will determine success.

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由于交货时间比以往任何时候都长,原材料短缺,以及全球范围内的物流噩梦,供应链规划已被带到商业战略的最前沿。过去,消费者需求更容易预测,但现在,历史数据在需求感知和预测方面毫无用处。为了应对不可预测的挑战,实时、可操作的数据和供应商合作至关重要。

如果只提供落后的数据视图,企业就无法继续有效地运行。我们需要将重点转向未来,在供应链规划中,情景预测和风险缓解将发挥更大的作用。

然而,前瞻性和可操作的数据只是一个开始。目前仍有很多不确定因素超出了规划者的控制。外部数据和内部数据同样重要,这就是为什么加强供应商和合作伙伴的协作将决定成功。

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