Retail


Why European retailers are betting on AI

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For today's retailers, AI is fast becoming an invaluable tool to understand what shoppers want – and ensure their experience matches up with their expectations. From supermarket chains with thousands of retail outlets to online clothes brands, fast-evolving AI technologies are helping them to increase sales, reduce excess stock and overall, improve profit margins. "Retailers are under increasing pressure," says Kate Edwards, Senior Research Analyst at JLL. "AI is a growing part of their business model to use the data they have to better understand their customers, predict future trends and boost business, from improving the customer-facing experience, to optimising supply chain processes." The growing focus on sustainability is equally driving uptake. For example, AI can help identify the opportunities for unsold products, reduce the levels of returned products and decipher optimal fulfilment options, delivering both cost and environmental benefits.


How to Use Big Data and Artificial Intelligence for Demand-Based Pricing in Retail

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You can call yourself a guru of retail pricing if you can make the right pricing decisions for every one of your products, separately and combined, based on their demand elasticity at any given moment. Each of your pricing decisions has to help you reach all of your current business goals and ensure the best shopping experience at the same time. In other words: to find a balance between your profits and traffic. Let's take a step back to where everything begins – your business strategy. The company's strategy is supposed to be converted into its pricing strategy and subsequently into pricing tactics.


The 5 best Amazon deals you can get this Wednesday

USATODAY - Tech Top Stories

Don't pass up these chances to save. Purchases you make through our links may earn us a commission. While we've seen a steady stream of sales this month, January is finally looming towards its end. If you haven't yet had the opportunity to treat yourself, especially over this past long weekend, don't worry--there's still plenty of chances to get the stuff you love on the cheap. Whether it's a robot vacuum you've been eyeing, or perhaps a tool or two to do some home improvement--we've got you covered with the top deals you can get over on Amazon this Wednesday.


4 Ways to Benefit From Conversational Bots in 2020

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Customers love voice and chat assistants, the conversational interfaces that turn on the lights, help home chefs cook an egg to perfection, and make it easy for consumers to research and buy goods online. However, while customers are already building strong relationships with these conversational assistants, retailers are still learning how to best use conversational bots to drive engagement and strengthen their customer relationships. Nonetheless, these conversational assistants represent a fantastic opportunity for retailers to humanize their interactions with customers at scale, as long as it's done with proper understanding of what it takes to engage with customers and how to deploy voice and chat to drive growth and return in 2020. Conversational interfaces fall into two categories: voice and chat. Voice assistants are mediums that can be accessed through voice commands on a smart speaker or smartphone application.


Amazon SageMaker Now Supports TensorFlow 2.0

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You can now use this container on SageMaker, and take advantage of many advanced capabilities, such as building models using the SageMaker SDK in managed notebooks, hyperparameter tuning, and distributed training. You can also bring your own container for custom models by building off our base containers. Click here for more information on using TensorFlow with SageMaker, and here to see an example notebook of starting a job with Tensorflow 2.0.


How Deep Learning Is Revolutionizing e-Commerce Today -

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For e-retailers, deep learning offers immense opportunities to increase conversion rates and improve the brand image through positive customer experience. According to a 2018 U.S. Census Bureau report, the e-Commerce industry has shown impressive growth in the past one decade. The online revenues have steadily eaten into an additional 1.5% of the yearly retail sales for the past several years. Tech giant Amazon is projected to make up half of all eCommerce sales in the US by 2021. Statista predicts the global e-Commerce sales will amount to $ 4.88 trillion; thereby, showcasing a yearly growth of 20%.


How Machine Learning in Retail Impacting Businesses?

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In the last couple of years, the retail industry has been considerably impacted because of technologies like Artificial Intelligence and Machine Learning. Especially, the companies that rely on online sales are integrating Machine Learning resources to increase sales and reduce costs. If we go by the books, Machine Learning can be defined as the scientific study of algorithms and statistical models to perform specific tasks by making use of patterns and inference. And interestingly, Artificial Intelligence and Machine Learning goes hand in hand because Machine Learning is considered as a subset of Artificial Intelligence. It's easier said than done to determine which of the industries have altered the most under the influence of Machine Learning and Artificial Intelligence technologies, but the retail sector is definitely one of them.


TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers: Pete Warden, Daniel Situnayake: 9781492052043: Amazon.com: Books

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The goal of this book is to show how any developer with basic experience using a command-line terminal and code editor can get started building their own projects running machine learning (ML) on embedded devices. Who Is This Book Aimed At? To build a TinyML project, you will need to know a bit about both machine learning and embedded software development. Neither of these are common skills, and very few people are experts on both, so this book will start with the assumption that you have no background in either of these. The only requirements are that you have some familiarity running commands in the terminal (or Command Prompt on Windows), and are able to load a program source file into an editor, make alterations, and save it.


Headless Commerce Gets a Massive Push with a New Acquisition Deal

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Both Moltin and Elastic Path are leaders in the headless commerce ecosystem. Together, the headless commerce industry leaders would provide unmatched business user experience and technical agility to accelerate digital customer experience innovation. Headless Commerce platform is an independent architecture that independently exists and operates as a link between the front-end and back-end of an e-commerce application. The links can be established using APIs, experience management platforms, and tools such as Heroku and Mulesoft. Modern Content Management Systems (CMS) have a limited layer of headless features– meaning, front-end and back-end retain their reciprocal properties during the dynamic/ live applications and A/B testing.


Headless Commerce Gets a Massive Push with a New Acquisition Deal

#artificialintelligence

Both Moltin and Elastic Path are leaders in the headless commerce ecosystem. Together, the headless commerce industry leaders would provide unmatched business user experience and technical agility to accelerate digital customer experience innovation. Headless Commerce platform is an independent architecture that independently exists and operates as a link between the front-end and back-end of an e-commerce application. The links can be established using APIs, experience management platforms, and tools such as Heroku and Mulesoft. Modern Content Management Systems (CMS) have a limited layer of headless features– meaning, front-end and back-end retain their reciprocal properties during the dynamic/ live applications and A/B testing.