Retail


How big data and AI help online retailers compete in the digital era

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As brick-and-mortar retailers continue to struggle against online competitors, some are seeking out services that leverage big data and personalization to increase e-commerce sales. "During the rise of big data, it was said that data was the new oil," Brian Solis, principal analyst at Altimeter, told TechRepublic. "In an era of AI and machine learning however, personalized data is the new competitive advantage and will only become standard CX on the horizon." Indeed, 72% of retailers reported that AI will be a "competitive necessity" in the next five years, according to a recent Oxford Economics survey. One such tech option for retailers looking to fight off the competition is uSizy, a recommendation technology for fashion apparel and footwear businesses, which unveiled its latest product, uSizy Smart Business, on Wednesday.


AWS Announces General Availability of Amazon EC2 G4 Instances

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G4 instances provide the industry's most cost-effective machine learning inference for applications, like adding metadata to an image, object detection, recommender systems, automated speech recognition, and language translation. G4 instances also provide a very cost-effective platform for building and running graphics-intensive applications, such as remote graphics workstations, video transcoding, photo-realistic design, and game streaming in the cloud. Machine learning involves two processes that require compute – training and inference. Training entails using labeled data to create a model that is capable of making predictions, a compute-intensive task that requires powerful processors and high-speed networking. Inference is the process of using a trained machine learning model to make predictions, which typically requires processing a lot of small compute jobs simultaneously, a task that can be most cost-effectively handled by accelerating computing with energy-efficient NVIDIA GPUs.


Hands-On Transfer Learning with Python: Implement advanced deep learning and neural network models using TensorFlow and Keras: Dipanjan Sarkar, Raghav Bali, Tamoghna Ghosh: 9781788831307: Amazon.com: Books

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Dipanjan (DJ) Sarkar is a Data Scientist at Intel, leveraging data science, machine learning, and deep learning to build large-scale intelligent systems. He holds a master of technology degree with specializations in Data Science and Software Engineering. He has been an analytics practitioner for several years now, specializing in machine learning, NLP, statistical methods, and deep learning. He is passionate about education and also acts as a Data Science Mentor at various organizations like Springboard, helping people learn data science. He is also a key contributor and editor for Towards Data Science, a leading online journal on AI and Data Science.


The Marriage Between Machine Learning & BI - TFOT

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If you're one of the majority of Americans who have shopped online, you're already familiar with retailers' tendencies to make buying suggestions for you based on your past purchases and on-site behavior. You might also like: this air mattress, this camping grill and this sleeping bag. And if the suggestions are spot on, you're probably thankful that the company saved you a couple extra clicks. This is just one example of artificial intelligence and machine learning using data to identify patterns and relationships, then offer intelligent suggestions based on these findings. Unsurprisingly, forward-thinking businesses across every industry are harnessing AI and ML in an attempt to derive maximum value from their stored data.


The Amazing Ways Retail Giant Zalando Is Using Artificial Intelligence

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Founded in 2008 by business school friends Robert Gentz and David Schneider, German-headquartered "etailer" Zalando is as much of a tech company as it is a retailer. One reason the company can provide a personalized user experience to its 27 million customers is because of the way it uses artificial intelligence (AI) and machine learning just like the other 28 percent of retailers who used artificial intelligence in 2018. Here are only a few of the ways Zalando uses machine learning and artificial intelligence today. One of the ways Zalando uses technology to improve the user experience is through its Algorithmic Fashion Companion (AFC), a digital outfit recommendation tool that can generate outfit recommendations in real-time. The algorithm's recommendations are based on products that the customer has put in their "wish list," expressed interest in or purchased before.


Chatbot Trends 2019: A Complete Report- BotPenguin

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To make the process of finding hotels, restaurants, and booking easy for their customers and provide better service, the hospitality industry has engaged bots for their functioning and is coming out with a huge success. Bots are becoming a hub for marketing products and increasing sales in the retail sector. They help in conversion even when the physical store is not open, and people still are interested in their products only through chatbots.


Walgreens and Wing are testing an on-demand drone delivery service

Daily Mail - Science & tech

Walgreens is getting its wings. The pharmacy chain has teamed up with Alphabet's drone delivery service Wing to bring food and beverage, over-the-counter medication and other items to consumers. This'store to door' testing is set to begin next month in Virginia and will offer more than 100 products and pre-built'packs' for purchase in the Wing app. Walgreens has teamed up with Alphabet's drone delivery service Wing to bring food and beverage, over-the-counter medication and other items to consumers The partnership between Walgreens and Wing aims to further explore the future of health and wellness products and retail delivery through the air, offering product availability and home delivery minutes after placing orders via the Wing app. 'Walgreens continues to explore partnerships to transform and modernize our customer experience and we are proud to be the first retailer in the U.S. to offer an on-demand commercial drone delivery option with Wing,' said Vish Sankaran, chief innovation officer, Walgreens Boots Alliance, Inc., in a press release.


Retail technology

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RTIH rounds up the retail technology startups who have been making waves with major investments. Syte, an Israeli artificial intelligence tech startup that powers visual search for the likes of M&S and boohoo, has raised $21.5 million in a Series B round led by Viola Ventures. Smart grocery cart startup Caper has closed a $10 million Series A led by Lux Capital. The round also saw participation from First Round Capital, Y Combinator, Hardware Club, FundersClub, Sidekick Fund and Red Apple Group. Akeneo, a US-based SaaS venture that provides product information management solutions for omnichannel retailers and brands, has raised $46 million in a funding round led by Summit Partners.


How mobile apps are incorporating artificial intelligence and machine learning today? - IT Firms

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AI and ML are increasingly gaining traction with their ability to integrate with technologies, which is the reason why app development companies are reaping best benefits by its usage! Machine Learning, AI and neural networks have so much to offer, with their idiosyncrasies in features that top AI companies need to figure out best deals from the roaster of offerings. As technology seeps into our daily lives, it affects the way we live, work, get entertained, eat, search, and do various other things. It has elevated from voice-powered personal assistants like Siri and Alexa to more complex underlying technologies involving suggestive searches, behavioral algorithms, applications with predictive capabilities, autonomously-powered self-driving vehicles, and many more general-purpose applications like Tesla, Cogito, Boxever, John Paul, Amazon.com, A true-artificial intelligent system is capable of learning on its own.


How mobile apps are incorporating artificial intelligence and machine learning today? - IT Firms

#artificialintelligence

AI and ML are increasingly gaining traction with their ability to integrate with technologies, which is the reason why app development companies are reaping best benefits by its usage! Machine Learning, AI and neural networks have so much to offer, with their idiosyncrasies in features that top AI companies need to figure out best deals from the roaster of offerings. As technology seeps into our daily lives, it affects the way we live, work, get entertained, eat, search, and do various other things. It has elevated from voice-powered personal assistants like Siri and Alexa to more complex underlying technologies involving suggestive searches, behavioral algorithms, applications with predictive capabilities, autonomously-powered self-driving vehicles, and many more general-purpose applications like Tesla, Cogito, Boxever, John Paul, Amazon.com, A true-artificial intelligent system is capable of learning on its own.