Food, Beverage & Tobacco


Are Amazon's AI-powered Go stores on their way to the British high street?

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With a beta testing store size of just 1800 square feet, while convenient, does not leave room for many products on the shelf. 'Just Walk Out' is powered by a combination of deep machine learning, sensor fusion, and computer vision. While details are sparse, it is presumed that after scanning into the store with their associated Amazon account, computer vision tracks customers as they shop. The computer vision tracking, combined with the weight sensors could synchronise with an Amazon account, charging customers as they leave the store.


Artificial intelligence in grocery stores could affect what you buy and pay

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The platform, provided by Blue Yonder, uses big data and machine learning to predict exactly what stock is needed based on historic sales data, as well as outlying variables like the weather surrounding each individual store, nearby events and, in cases where the AI gets the prediction wrong, it can learn from its mistakes.


Mixed reality will soon mean big business for brands

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Reports suggest that a collection of the world's leading tech companies, including Microsoft, Apple, Samsung, Huawei, LG, Acer, Intel, Meta, Magic Leap, and ODG are all planning to double down on mixed reality (MR) this year by bringing affordable devices to the masses. Coupled with advanced computer vision, eye tracking and machine learning are vital ingredients for implementing the next-generation of "visual" search engines. While we await further news surrounding advancements and mass market distribution plans for these highly anticipated first-gen MR devices, mobile AR is still the best solution for brands looking to test and learn for the short term. Keith Curtin is an Entrepreneur, Brand Marketing Executive & Founder of See Digital, a consultancy firm specializing in augmented reality, virtual reality & mixed reality.


Amazon's no-checkout grocery headed to Europe

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Amazon (AMZN) began testing a no-checkout grocery store called Amazon Go in downtown Seattle in December. In addition to Amazon Go, the company has opened two click-and-collect drive-through grocery stores in Seattle, also only for staff as the technical bugs are worked out. Instead of waiting in a checkout line, customers simply tap their cellphones on a turnstile as they walk into the store, which logs them into the store's network and connects to their Amazon account through an app. The system uses machine learning, sensors and artificial intelligence to track items customers pick up, which are added to the virtual cart on their app.


The 16 best gifts for college graduates of 2017

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Rent the Runway's unlimited subscription lets you rent three designer pieces at a time with free shipping, dry cleaning, and insurance. Buy now: Kate Spade "Let's Do Lunch" Business Card Holder, $19, Amazon Coffee is essential to getting through the work day, but it can get pretty expensive going to Starbucks every day (believe me, you don't want to know how much money I've spent at coffee shops in the last month never mind the last seven years since I graduated). Instead of letting a recent grad buy a bunch of small kitchen appliances for their new home, give them a device that does it all. If you don't want to splurge on fancy pearls or a diamond necklace, this popular Kate Spade initial necklace is a great pick.


VR, voice and artificial intelligence: digital's next big thing?

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I caught up with a host of digital experts at the CMO Digital Insight Summit to find out. And in many ways, that made it the perfect setting for the recent CMO Digital Insight Summit. "We see companies like McDonald's, like Coca-Cola, creating amazing brand experiences with virtual reality, and that will only increase in the next few years," suggested Simon Kingsnorth, Head of Digital at Citi Private Banking. Others saw artificial intelligence and machine learning as key trends.


Using AI, Predictive Analytics, and Recommendations - DZone Big Data

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Here's what retailers can get from using recommendation systems: Increased customer loyalty by sending offers based on specific customer needs. The idea is simple: we define a market basket for every customer and calculate the distance between the specific customer and others having similar items in the market basket. Then, we recommend customers buy the goods purchased earlier by those customers with similar market baskets. If a customer feature set coincides with an item feature set, then this customer gets a recommendation for this specific item.


How Amazon Go (probably) makes "just walk out" groceries a reality

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For a grocery store, there is one primary question Amazon needs to answer: when a customer leaves the store, what are they taking with them? Previously, vision algorithms generally worked by finding salient features in an image and gathering collections into objects. If you were trying to create a system to recognize sodas, you show it tens of thousands of pictures of sodas, and it would figure out for itself how to go from lines and curves into shapes and then into boxes and bottles and so on. To make a simulated network that could run in a reasonable amount of time requires fine-tuning of the structure of the networks to minimize the number of interconnects.


Accenture Labs and Akshaya Patra Use Disruptive Technologies to Enhance Efficiency in Mid-Day Meal Program for School Children

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Accenture Labs and Akshaya Patra Use Disruptive Technologies to Enhance Efficiency in Mid-Day Meal Program for School Children "Million Meals" project applied artificial intelligence, the Internet of Things and blockchain to drive efficiency and timeliness of lunch program in government schools across India BENGALURU, India; Apr. 20, 2017 – Accenture (NYSE: ACN) and Akshaya Patra, the world's largest NGO-run Mid-Day Meal Program, collaborated on an innovative project that used disruptive technologies to exponentially increase the number of meals served to children in schools in India that are run and aided by the government. The "Million Meals" project revolutionized Akshaya Patra's supply chain and operations, resulting in improved food quality and expanded service reach. Accenture Labs and Akshaya Patra Use Disruptive Technologies to Enhance Efficiency in Mid-Day Meal Program for School Children "Million Meals" project applied artificial intelligence, the Internet of Things and blockchain to drive efficiency and timeliness of lunch program in government schools across India


AI, IoT, Blockchain enhance efficiency of Akshaya Patra's mid-day meal program

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"Million Meals" project applied artificial intelligence, the Internet of Things and blockchain to drive efficiency and timeliness of lunch program in government schools across India Accenture and Akshaya Patra, the world's largest NGO-run Mid-Day Meal Program, collaborated on an innovative project that used disruptive technologies to exponentially increase the number of meals served to children in schools in India that are run and aided by the government. The "Million Meals" project revolutionized Akshaya Patra's supply chain and operations, resulting in improved food quality and expanded service reach. Rooted in a vision to eliminate child hunger, the "Million Meals" project demonstrated how disruptive technologies such as artificial intelligence (AI), the Internet of Things (IoT) and blockchain can help address significant challenges in mass meal production and delivery. Technologies were then applied to four critical processes: collecting school feedback, tracking food delivery, measuring the quantity of food and supplies to be purchased, and monitoring meal production.