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Punchh Launches Deep Learning and Artificial Intelligence "Customer Sentiment Analysis" to Enable Real-Time Response to Customer Reviews

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Punchh, the leader in digital marketing solutions for physical retailers, today announced the launch of Punchh Deep Sentiment Analysis. The new product allows brands to extract valuable insights from customer reviews using Punchh's natural language comprehension engine built with industry-leading deep learning and artificial intelligence. Its natural language processing model achieves human-level performance, defined as more than 93 percent accurate, and features multi-language support. "In today's hyper-competitive climate, brands need to do everything they can to foster and nurture direct customer relationships, and paying attention to customer reviews is an essential part of that," said Shyam Rao, CEO of Punchh. "Manually reading every review is prohibitively time-consuming for most retailers, which leads to slower response times and poor customer experiences. Our solution uses AI and machine learning to help brands analyze reviews at scale and immediately identify critical information so they can focus on high-level insights and make quick decisions to strengthen customer relationships and increase loyalty."


Smashburger will soon let you pay with your iPhone

Mashable

Apple is slowly but surely growing the list of places where you can pay hands-free with your iPhone and Apple Pay. The latest addition: Smashburger, which announced that it will begin accepting Apple Pay later this year. SEE ALSO: This could be our first look at the iPhone 8's glorious edge-to-edge screen Once it's live in store, you'll be able to tap-to-pay just as you would at any other business or retailer that takes Apple. Additionally, Apple Pay will also be integrated with Smashburger's loyalty program. Once you've paid, your phone will prompt you to join the restaurant's loyalty program, which lets you earn discounts and credit toward future orders.


AI could define the future of restaurants. What happens when it fails?

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Although the idea of "artificial intelligence" has been around since 1956, this seems to be a breakthrough year for AI in the restaurant space. Major players from Chick-fil-A to Chipotle to Domino's have implemented AI in some form or fashion, whether to identify food safety issues, scale up logistics or generate orders via voice assistance. Even some smaller chains are getting on board the AI train. In February, Colorado-based Good Times Burger & Frozen Custard launched its conversational AI platform through a partnership with Valyant AI, for example. Perhaps the biggest breakthrough came when McDonald's adopted the technology.


The Biggest Mistakes Made by Data Scientists - InformationWeek

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In 2019, companies looking to gain an edge on competitors and insight into customers and trends have come to rely more heavily on data scientists to inform their business decisions. A good data scientist is invaluable to a company with any online presence. They will assess and interpret complex information and build out machine learning algorithms. Data volume keeps growing, and the amount of skill and effort needed to create data-driven initiatives is certainly keeping pace with that growth. Mistakes can produce huge consequences and, while the tools may change, the mistakes stay the same.


Ghost Kitchens, AI And POS Systems: Restaurant Tech Providers Predict Top 2020 Trends

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Close-up of sign for gig economy meal delivery app Doordash, with text reading Doordash Pick up ... [ ] Here, in a restaurant setting in Lafayette, California, May 23, 2019. Earlier this year, Hudson Riehle from the National Restaurant Association said we're at a tipping point in the restaurant industry, pointing to the emergence of "essentially a new business model." In a nutshell, that means a majority of consumers, especially younger consumers, now prefer to eat their restaurant meals somewhere other than an actual restaurant whether that be via drive-thru, delivery, takeout, whatever. So, what comes on the other side of this tipping point? According to industry technology providers (in many cases, disruptors), the major narratives for 2020 include even more delivery, ghost kitchens, a more sophisticated point-of-sale system and artificial intelligence.