There’s no time for the future of retail like the present. That is the motto at Walmart’s Intelligent Retail Lab, a live experiment in AI-driven shopping experiences that is now open to the public at a Walmart Neighborhood Market in Levittown, NY.
New technologies (and new spins on old ones) are the modern company’s ally in merging digital and traditional marketing. The brands that find a sensible balance between the two are the brands that will outperform the competition. Let’s take a look at four major examples of innovation in this arena.
With the reviews and other content being posted online about brands coming from an increasingly wide swath of sources, manual techniques for reputation management are no longer viable on a large scale. At the same time, the volume of online opinions bombarding potential customers is making it more important than ever for brands to constantly monitor what’s being said about them online. How are brands coping with the challenge?
The task Facebook must take up as it attempts to police hateful content is one inseparable from political values, human judgment, and the interpretation of statements that need to be parsed by well-trained eyes and bright minds with a stomach for horror to boot. While machines will play an indispensable role in content moderation on a platform of Facebook’s scale, they will be far from sufficient. That’s because monitoring hate speech touches on nothing less than some of humanistic inquiry’s age-old questions: the debatable violence, status of truth, and foundations of meaning in language.
Google’s Knowledge Graph ambitions are expanding to include obviating heavy reliance on secondary sources like Wikipedia and being able instead to classify and cross-reference information as a native, self-sustaining activity on web pages themselves. That’s what makes a recent patent filing different from the evidence of the Knowledge Graph we’ve already seen in the wild.
While this more ambitious way of surfacing information about entities is not yet standard, in researching Google’s new interface for hotels, I think I’m seeing evidence of a real-world example.
What do Google’s AI-fueled search results, 5G, and marketing champagne all have in common? They’re the central topics of a roundtable discussion on the latest episode of Street Fight’s podcast, Heard on the Street.
As we do quarterly, this is a bonus episode that puts aside our typical interview format and instead invites the leading thinkers from the Street Fight newsroom and executive ranks to discuss news and insights that are top of mind.
Rodion Yeroshek: The majority of restaurant businesses, especially the small ones, remain slow adopters and non-adopters of AI technology. People may think that the introduction of AI in small restaurant operations is nothing more than jumping on the bandwagon. However, research on the impact of AI on the world economy by McKinsey Global Institute warns the naysayers. The research predicts that by 2030 active adopters of AI technologies could double their cash flow, while non-adopters could lose up to 20% of theirs. This is a hint for restaurant managers who plan to stay in business for the next 10-15 years that it’s time they embrace AI tools or prepare to lose a big part of their market share for good.
On this week’s Location-Based Marketing Association podcast: 180byTwo’s eCHO, Outdoorsy the AirBnB for RVs, Outer, Tide launches 24/7 laundry service, LG builds Amazon Dash into all appliances, Baidu builds AI cat shelters. New research from Blis.
Greater customer expectations and technological advancements are driving big changes in delivery. What’s more, the delivery experience has emerged as a differentiating factor for customers when choosing one retailer over another. eCommerce retailers that operate solely online and omnichannel retailers that offer a physical and digital presence are both beginning to expand their delivery options to meet customer demand. Here are seven trends that will define retail delivery during 2019.
Beyond the star ratings lies a wealth of information. Sentiment and opinions can be used to shape the way brands develop their highest-selling products. Given the volume of reviews posted each day, however, it would be impossible for most major brands to analyze every customer reaction individually. Instead, a growing number of brands are utilizing artificial intelligence (AI) technology to extract and analyze the sentiment from product reviews. Here are five examples of platforms that offer this type of AI technology for analyzing customer feedback posted online.
Damian Rollison: Among hundreds of sessions, exhibits, and demos, one theme came through clearly at IBM Think this month in San Francisco: for large enterprises especially, the AI-driven future for which we’ve been told to prepare is already here. In fact, enterprise companies are using IBM’s Watson technologies today to address a myriad of challenges inherent in the scale of those businesses.
The pitch is that today’s marketers with omnichannel inspirations need a machine learning-driven platform that will not only assess the success of campaigns across several media but also point them toward paths for future success. That’s an expensive technical infrastructure to create in-house, and conDati’s betting its solution is worth the spend.
The distinction between real-world supermarkets and online-only grocers has come down to price. The introduction of a new technology to lower prices for consumers may be what the industry needs to finally push it past the tipping point.
When it came to the Super Bowl, Google opted not to put the spotlight on flashy new products but rather to emphasize the good it can do for the world at a time when it’s “don’t be evil” slogan of yore has become prime material for parody. During the big game, ads for products as seemingly disparate as Pringles, tax software, and beer pointed to a present haunted by tech’s infiltration of domestic life and machines’ superiority to humans.
Bernadette Coleman: 2019 is here. While the focus in recent weeks has been predictions on the digital marketing trends that are expected to emerge this year, I would argue that one of the most important measures brands need to take in 2019 is to implement a full-scale voice search readiness strategy, if they have not already.
Standard Cognition offers a product called Standard Checkout that retrofits cashier-based grocery stores into cashierless systems. Unlike the new cashierless Amazon Go, Standard Cognition is not a grocery chain itself, but instead a solution for chains that compete with Amazon Go, co-founder and COO Michael Suswal told Street Fight.
Using the latest artificial intelligence technology, brands are finding new ways to streamline and automate the customer experience. But a new report shows that type of streamlined experience might be the exact opposite of what consumers actually want when they interact with their favorite brands.