News and Analysis
Retailers Turn to AI to Assist with Forecasting Challenges
With machine learning and AI, retailers have been able to navigate the continued imbalance between supply and demand. This is especially true for digital-first retailers and on-demand businesses. The number of online grocery shoppers increased by 35 million during the pandemic. That opened the door to new opportunities, but it also opened the door to certain logistical challenges that grocers never experienced previously. For example, online grocery shoppers expect the items in their mobile apps to be in-stock and available for delivery immediately, which is different from a shopper who casually browses store aisles to see what’s available at a brick-and-mortar location.
Commentary
Will Audio AR Drive Local Commerce?
Mike Boland: AR may not play out in the way you think, at least in the near term. Though it’s generally thought of as graphical overlays on your field of view, another “overlay” could be more viable in the near term: sound. This “audio AR” modality could come sooner than—and eventually coexist with—its graphical cousin.
The Transparency Trap: On Low Standards for ‘Transparency’ in the Data Market
Jake Moskowitz: In media, transparency demands accountability. In other words, it means asking media suppliers to “prove it.” It means expecting suppliers to “show me the viewability and fraud percentages, and allow me to suppress ads from running next to unsafe content.” Today, when it pertains to data, transparency just means “tell me where the data came from”—that’s it. That is not enough.
Improving the Local SEO Toolkit: A 2018 Holiday Wish List
“Local is a complicated world that is not currently served well by the tools of the organic world. The end of the year and the start of a new one is a great time to get folks thinking about how they might address this hole in our tool sets,” says Mike Blumenthal. He and David Mihm explore the weaknesses and possibilities among local search tools in their last column of 2018.
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