AI+物流的使用与开展，在物流职业起到什么效果

DHL近来与IBM发布了一份联合陈述，对人工智能（AI）在物流职业的发展潜力进行了评价，并提醒了怎么更好地运用人工智能实施物流职业革新，添加新智能物流资产，发明运营模范。
In a joint report, DHL and IBM have evaluated the potential of Artificial Intelligence (AI) in logistics and exposed how it can be best applied to transform the industry, giving rise to a new class of intelligent logistics assets and operational paradigms.
DHL和IBM论述了在人工智能的功能、可完成性和本钱等方面均完成打破的情况下，物流职业的领导者该如何运用人工智能的中心优势和时机。
DHL and IBM outline how supply chain leaders can take advantage of AIs key benefits and opportunities now that performance, accessibility as well as costs are more favourable than ever before.
该协作陈述指明晰人工智能对物流职业的影响以及相关运用，认为人工智能有望明显增强人类的才能。
The collaborative report identifies implications and use cases of AI for the logistics industry, finding that AI has the potential to significantly augment human capabilities.
人工智能在消费范畴已无处不在，语音帮手运用的快速增长便是有力的证明。
While AI is already ubiquitous in the consumer realm, as demonstrated by the rapid growth of voice assistant applications.
与此一起，DHL和IBM发现人工智能技能正在快速老练，可认为物流职业带来新的运用。
DHL and IBM find that AI technologies are maturing at great pace, allowing for additional applications for the logistics industry.
比方协助物流供货商经过会话式互动来丰厚客户体会，乃至能在客户下指令前就开端投递产品。
These can, for instance, help logistics providers enrich customer experiences through conversational engagement and even deliver articles before the customer has even ordered them.
DHL高档副总裁兼全球立异主管Matthias Heutger表明：“现在的技能、商业和社会情况比以往更适合对物流运作形式改动进行展望和猜想。
“Today’s current technology, business, and societal conditions favour a paradigm shift to proactive and predictive logistics operations more than any previous time in history” explains Matthias Heutger, Senior Vice President and Global Head of Innovation DHL.
跟着人工智能范畴技能的飞速发展，咱们有职责协同咱们的客户和职工，一起讨论人工智能怎么刻画物流职业的未来。”
As the technological progress in the field of AI is proceeding at great pace, we see it as our duty to explore, together with our customers and employees, how AI will shape the logistics industry’s future.”
许多职业已成功将人工智能运用于日常事务。比方，在工程和制作职业，人工智能正在出产线中发挥作用，经过图像识别和会话界面来简化出产和保护。
Many industries have already successfully adopted AI into their everyday business, such as the engineering and manufacturing industry: AI is being used in production lines to help streamline production and maintenance through image recognition and conversational interfaces.
在轿车业，经过人工智能来进步主动驾驶轿车自学才能的呼声很高。
In the automotive industry, AI is being extensively called upon to enhance the self-learning capabilities of autonomous vehicles.
越来越多的比如证明晰人工智能有许多优势，有才能在改动顾客国际后再改动工业国际。
Many more examples evidence AI’s benefits with the ability to transform the world of industry after its transformational impact on the consumer world.
有了人工智能的协助，物流职业将把其运营形式从被迫行为改动为积极主动的猜想形式，花费较少的本钱在后台体系、运营和面向客户的活动中发生更好的洞悉。
With the help of AI, the logistics industry will shift its operating model from reactive actions to a proactive and predictive paradigm, which will generate better insights at favourable costs in back office, operational and customer-facing activities.
例如，DHL开发了一种根据机器学习的东西来猜想空运延误情况，以预先采纳缓解办法。
For example, DHL has developed a machine learning-based tool to predict air freight transit time delays in order to enable proactive mitigation.
经过对其内部数据的58个不同参数进行剖析，这一机器学习模型能够提早一周对特定航线的日均匀通行时刻进行猜想。
By analyzing 58 different parameters of internal data, the machine learning model is able to predict if the average daily transit time for a given lane is expected to rise or fall up to a week in advance.
此外，它还能确认导致运送延误的主要要素，比方是动身日之类的时刻要素，或是航空公司按时率等方面的运营要素，
Furthermore, this solution is able to identify the top factors influencing shipment delays, including temporal factors like departure day or operational factors such as airline on-time performance.
有助于空运代理商提早进行科学方案，而不是只能靠片面猜想。
This can help air freight forwarders plan ahead by removing subjective guesswork around when or with which airline their shipments should fly.
人工智能技能能够运用先进的图像识别来盯梢货运和财物情况，为运送带来端到端的自主性，或提早猜想全球出货量动摇。
AI technologies can use advanced image recognition to track condition of shipments and assets, bring end-to-end autonomy to transportation, or predict fluctuations in global shipment volumes before they occur.
近期中外运-敦豪国际航空快件有限公司取得专利的“小型高效主动分拣设备”就运用了图像识别技能，在进行快件分拣的一起，主动获取数据，并对接DHL的相应体系进行数据上传。
Recently, DHL-Sinotrans has obtained a patent for its auto sorting. Leveraging image recognition technology, the device can acquire data automatically and upload the collected data to relevant DHL systems while sorting shipments.
明显，人工智能增强了人的才能，也让物流人员从日常工作中解放出来，将工作重点转向更有意义和价值的方向。
Clearly, AI augments human capabilities but also eliminates routine work, which will shift the focus of logistics workforces to more meaningful and value-added work.
就像人工智能现在在消费范畴无处不在相同，未来的人工智能将在工业范畴得到广泛运用。
AI will develop to become as omnipresent in the industrial sector as it currently is in the consumer world.
人工智能致力于将物流职业改动为积极主动、具有猜想性、主动化和个性化的职业。
AI stands to transform the logistics industry into a proactive, predictive, automated and personalized branch.
有鉴于此，该陈述论述了物流企业怎么捉住先机，将人工智能技能运用到全球供应链中的最佳实践与办法。
Considering this, the report provides perspectives and best practices on how logistics players can seize and adopt AI in their global supply chains.

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