Sign up for our newsletter and get the latest big data news and analysis.

How Predictive Analytics Is Being Used in Inventory Management

In this contributed article, technology writer and blogger Kayla Matthews suggests that when companies depend on predictive analytics platforms for inventory management, they can avoid pitfalls and succeed in demanding marketplaces. The lack of effective inventory management practices can lead to upset customers, plunging profits and productivity losses. Fortunately, technology offers assistance in ways that weren’t possible in earlier eras.

insideBIGDATA Special Report: Reinventing the Retail Industry through Machine and Deep Learning (Part 4)

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. As artificial neural networks become more and more efficient, and as graphics processing units (GPUs) get more and more powerful, so does their influence on retail.

insideBIGDATA Special Report: Reinventing the Retail Industry through Machine and Deep Learning (Part 3)

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. As artificial neural networks become more and more efficient, and as graphics processing units (GPUs) get more and more powerful, so does their influence on retail.

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.”

Reinventing the Retail Industry Through Machine and Deep Learning

Today, deep learning techniques are poised to disrupt the retail industry. As artificial neural networks become more and more efficient, and as graphics processing units get more and more powerful, so does their influence on retail. Download the new insideBIGDATA special report, courtesy of Dell and NIVIDA, to learn more about how machine and deep learning is revolutionizing the retail industry. 

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.

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.

Interview: Paulo Sampaio, Data Scientist at EDITED

I recently caught up with Paulo Sampaio, Data Scientist at EDITED, to talk about applying machine learning, neural networks, natural language processing, and big data analytics to the retail industry. Paulo and his team are applying neural networks, machine learning and other models to analyze over 520 million products in real-time across 42 countries to make gradual distinctions in clothing styles, sizes and categories.

New Blue Yonder Solution Helps Grocers Optimize Replenishment for Fresh Assortments

Set against a backdrop of declining profitability and significant changes in consumer lifestyles, retailers are under pressure to deliver the best freshness and optimal availability to their customers without the ability manage cost to serve. Typically, 40 percent of grocery revenue is driven by fresh, according to the latest McKinsey report: get this right and the rest will follow, including the customer and profits. Grocery has traditionally struggled to deliver the right customer experience in fresh without forsaking margin.

InsideBIGDATA Guide to Retail

Few industries have greater access to data around consumers, products, and channels than the retail industry. Data coupled with insights are at the heart of what drives this business. It’s a logical consequence then that retail is the vertical market that adopted big data and technologies like Hadoop earlier than many other industries. Retail started with diverse transactional data but is now much more sophisticated in the way technology is being applied toward gaining competitive advantage. Learn more by downloading this guide.