Retail is constantly evolving. To stay ahead retailers need to know the hot trends before they emerge. You don’t want to miss industry insider Justin Honaman’s annual look at the top retail tech trends to watch in the New Year.
The newly developed solutions leverage Google Cloud Platform, BigQuery, and Machine Learning Engine to improve store operations and uncover new sales opportunities
Ulta Beauty is aiming to accelerate its innovation by investing technology, including artificial intelligence and augmented reality. Learn how the beauty retailer plans to build a “digital innovation ecosystem.”
By building and centralizing its data platform, Gap can now apply advanced analytics and machine learning to gain a comprehensive understanding of customers across channels, and deliver personalized merchandising, marketing and customer service.
Sam's Club Now, a store that doubles as a retail technology innovation lab, will open soon in Dallas. See inside the new store before it opens and find out how the mobile-first store will operate and what interesting tech the company has in the works.
The luxury apparel retailer has deployed machine-learning technology to create in-the-moment experience for its shoppers, increasing brand engagement, loyalty and sales.
eBay's latest visual shopping feature drops this month, letting shoppers drag and drop images into the mobile app so consumers can discover items that look like their favorites with the swipe of a finger. Go behind how the next-gen tech works.
E-commerce retailer Wayfair captures and stores four terabytes of data every day, tracking approximately 40 billion customer actions on its website over the course of a year. Uncover how the company's data science team utilizes this mountain of data to enhance the customer experience.
Retailers are feeling the pressure to evolve, but many still aren’t sure where to start. Here are five tips that will help you hone in on the essential prerequisites and technologies that are part of every retailer's digital transformation.
