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Amazon Go – Deep Learning Conquers Retail

“At the Amazon Go store, the checkout process is completely automated. Every time you take a product from a shelf, one of hundreds of small cameras located in the ceiling recognizes the item and places it in your virtual shopping cart. If you change your mind, no problem, you’re still being watched and the system will remove it from your cart once you put it back on the shelf. The deep learning technology is able to recognize every item in the store without any special tags like RFID chips.”

insideBIGDATA Special Report: Reinventing the Retail Industry through Machine and Deep Learning

The insideBIGDATA Special Report: Reinventing the Retail Industry through Machine and Deep Learning white paper explores how AI, machine learning and deep learning are transforming the retail industry in many positive directions including: inventory and supply chain management, analysis of customer buying patterns, analyzing traffic patterns, providing assortment planning, performing retail analytics at scale.
Fighting cyberfraud

Study on AI and the Future of Sales

Whether it’s redefining the world of marketing, finance or customer support, it is no secret that artificial intelligence (AI) is changing the way we work. Sales, as both a function and a profession, is no exception to the sea change. Our friends over at Cien produced a global study: The Future of Sales that reveals how attitudes, perception and behavior of high tech sales professionals is not what is often touted in the media.

Using Artificial Intelligence to Analyze All Fashion Customer Data

“Can a global brand really live up to the needs of diverse cultures from Latin America to Eastern Europe all the way to Asia without putting its identity on the line?” (McKinsey) The differences in expectations and desires from country to country are massive. It is a big challenge for global retailers to properly segment and market to their increasingly diverse international buyers.”

Seeing the Light on the Positive Impacts of AI/ML for Retailers

In this special guest feature, Tom Buiocchi, CEO of ServiceChannel, discusses how new technologies such as AI/ML and modern facilities management (FM) software can help retailers be on the “right” side of creative destruction, a process where new technologies disrupt old ways of doing things in favor of more speed, automation, intelligence, and efficiency.

Every Retailers’ Nightmare Before Christmas

In this contributed article, David Drai, Co-founder & CEO for Anodot, offers a number of important steps for how to say goodbye to the “glitch-grinch” based on the benefits of a data-rich, e-commerce ecosystem where the key to effectively avoiding the glitch is automation and technology.

Anodot AI Analytics for Retail to Gain Online Retailers Millions in Otherwise Lost Revenue

Anodot, the AI-powered analytics company, announced the launch of “AI Analytics for Retail” just in time for the upcoming holiday shopping season. With Black Friday and Cyber Monday accounting for 6-10x revenue compared to a regular shopping day, Anodot’s system for retail will help companies increase profits this holiday season.

Too Much Data? Issues Facing Brand Managers & Agencies

In this contributed article, Mathias Lanni, Executive VP, Marketing for Velocidi, highlights how to properly navigate your data and find the important metrics and KPIs. Proper data handling and analysis will often depend greatly on each individual company, yet there are still clear guidelines a brand manager can follow to make their lives easier – while producing better outcomes for their company and/or client.

Big Data: Big Retail Transformation

In this special guest feature, Kerry Liu, Rubikloud CEO, discusses how the retail sector has reached an “AI or Die” moment. Retailers that don’t adapt AI will soon die out. But those that embrace the technology to make automated decisions will enjoy an immediate uptick in their business, and should be able to transform themselves to survive.

Advanced Technologies for Repricing on Amazon

In this special guest feature, Eyal Lanxner, CTO and Co-Founder at Feedvisor, discusses the motivations behind algorithmic repricers based on AI and machine learning to find the optimal strategy for securing Amazon’s Buy Box, which is an essential means for increasing exposure and sales in this marketplace.