It’s no secret that the Google Cloud management team has decided to focus its efforts on a select number of enterprise verticals like healthcare, manufacturing, financial services, energy and life sciences. Retail, too, has long been a growth market for the company, especially as Amazon’s competitors are looking to run their services on clouds that are not AWS. Current customers include the likes of Kohl’s, Lowe’s and France’s Carrefour. It’s maybe nosurprise, then, that Google today used NRF 2020, one of the largest retail events, to launch a number of updates to its services for retailers.众所周知，谷歌云管理团队已经决定将其精力集中在医疗、制造、金融服务、能源和生命科学等特定领域的企业上。零售业也一直是该公司的增长市场，尤其是当亚马逊的竞争对手希望在非AWS的云上运行其服务时。目前的客户包括Kohl 's、劳氏(Lowe 's)和法国家乐福(Carrefour)等。因此，谷歌如今利用最大的零售活动之一NRF 2020，为零售商进行一系列服务更新，或许并不令人意外。Some of the announcements today focus on specific vertical editions of existing services, including Google Cloud API Management for Retail, powered by Apigee, or Google Cloud Anthos for Retail, which specifically targets retailers that want to modernize their store operations and infrastructure.There also is Google Cloud Search for Retail, powered by Google Search, which promises to bring better product search results to a retailer’s applications.今天发布的一些公告侧重于现有服务的特定垂直版本，包括由Apigee支持的针对零售的谷歌云API管理，或针对零售的谷歌云Anthos，后者专门针对那些希望使其商店操作和基础架构现代化的零售商。此外，谷歌云搜索还支持谷歌搜索，它承诺为零售商的应用程序带来更好的产品搜索结果。In addition, Google also is expanding tomore customers programs like its Retail Acceleration Program and making its white-glove Customer Reliability Engineering service, which helps retailers better plan for and manage their peak shopping days, available to more customers.此外，谷歌还将扩展到更多的客户计划，比如其零售加速计划，并为客户提供周到而且高质可靠的工程服务，以帮助零售商更好地规划和管理他们的高峰购物日，并为更多的客户使用。What’s maybe more interesting, though, isnew services like Google Cloud 1:1 Engagement for Retail,“a blueprint andbest-practice guide on how to build these types of data-driven solutions effectively and with less up-front cost.”
The idea here is to help retailers make use of Google’s big data platform to build personalization and recommendation models to better understand and engage their customers.不过，更有趣的可能是谷歌云1:1零售参与等新服务，“这是一份如何有效构建这类数据驱动解决方案的蓝图和最佳实践指南，而且前期成本更低。”
这里的想法是帮助零售商利用谷歌的大数据平台来建立个性化和推荐模型，从而更好地理解和吸引顾客。”Also new is a buy optimization and demand forecasting service that aims to help retailers better plan their logistics operations.还有一个新的购买优化和需求预测服务，旨在帮助零售商更好地规划他们的物流运作。We’ll likely see Google use a similar playbook for more verticals over time. We know that Google Cloud has ambitions to become the No. 2 cloud provider within a few years, and, to do so, it needs to get large enterprises — and especially those that are still trying to figure out their cloud strategies — to opt for its services.随着时间的流逝，我们很可能会看到谷歌使用类似的策略来处理更多的垂直市场。我们知道谷歌云有雄心在几年内成为第二大云提供商，要做到这一点，它需要让大型企业——尤其是那些仍在试图找出自己的云战略的企业——选择它的服务。
进一步交流请加微信：mysrri，邀请进入【零售资本论】交流群。
推荐阅读：