In this contributed article, Mark Heitke, VP of Strategy at Symbiosys, discusses the role of AI in the emerging strategy of off-site retail media, how the access to retailer first-party data through an AI engine can create hyper-nuanced target customer groupings as well as the potential for predictive behavior analytics. As AI and retail media continue to intersect the potential for both retailers and brands expands exponentially resulting in a much better shopping and ad experience for the consumer.
The Future of AI in Retail Media: Balancing Personalization with Privacy
September 9, 2024 by
In this contributed article, Shobhit Khandelwal, CEO and founder of Carter, points out that as competition grows in the retail media space, brands and retailers feel pressured to meet consumer needs. The opportunity to provide unique advertising experiences to consumers increases as AI develops. These rapid developments in AI put us on the precipice of a great revolution in the retail media landscape.
How Artificial Intelligence is Revolutionizing Automotive Retailing
August 30, 2024 by
In this contributed article, Devin Daly, CEO and Co-Founder of Impel, discusses five of the most impactful ways that AI is improving the automotive retailing experience.
Using Data and AI to Recession-Proof Your Retail Strategy
July 23, 2023 by
In this contributed article, Gladys Kong, Chief Operating Officer of Near, discusses how to recession proof retail strategy using data to understand customer behavior and market to them using omni channel marketing. She touches on some real-world examples of well-known retailers using data to accomplish great things, such as how Ikea has used technology to enhance their store experience, how Sephora’s loyalty program is driving ROI, and how Dollar General has launched a thriving new retail chain.
Deloitte Unveils Suite of AI Service Offerings Built on NVIDIA Platforms
April 26, 2023 by
Deloitte unveiled Quartz AI™, a suite of two new cross-industry AI service offerings to help clients unlock the transformative value of AI to solve key business challenges such as enhancing customer experiences, optimizing operations and launching innovative businesses in new markets. Built on the NVIDIA AI and NVIDIA Omniverse™ platforms, the new solutions include: Deloitte Compass AI for logistics and route optimization and Deloitte Frontline AI for retail, quick-service restaurants and customer service.
Reaching Buyers in an Anonymous Buying Journey
April 2, 2023 by
In this contributed article, Latané Conant, Chief Market Officer of 6sense, offers her perspective on how enterprise sales/marketing teams can still identify leads generate revenue, even with ever-changing privacy rules/regulations. This provides some good insights on how to overcome those challenges by using valuable data.
Tredence Launches ATOM.AI, an Integrated Accelerator Ecosystem for Retailers and CPGs at NRF 2023
January 17, 2023 by
Tredence, the Data Science and AI Solutions company, announced the launch of ATOM.AI, an intelligently engineered platform that leverages AI to accelerate data and analytics modernization. Tredence announced the launch of ATOM.AI for retailers and consumer goods companies at NRF, the leading retail industry show hosted by the National Retail Federation.
Walmart Innovates at the Retail Edge with AI
May 24, 2021 by
Through the combination of world-class software from Malong Technologies and a powerful processing platform Dell Technologies and NVIDIA, Walmart is able to deliver groundbreaking AI acceleration at the store edge.
How AI is Being Applied to Retail: Deep Learning Brings Superpowers to eCommerce with Companies like Wish and RTB House Leading the Charge
December 15, 2020 by
In this contributed article, Garth Holsinger, founder of Enterprise Alpha, and Partner at Prota Ventures, discusses how Deep Learning technologies are bringing superpowers to e-commerce and digital advertising platforms, and how Wish, RTB House, and Macy’s are leading the charge.
87 Percent of US Retailers Race to Achieve Faster Data-Driven Insights to Support Online Sales
November 26, 2020 by
Exasol, the high-performance analytics database, published new research that reveals since the pandemic started, 87% of retail organizations in the U.S. have been under pressure to make data-driven decisions faster. The finding comes from an in-depth research report, “Retail: Decision making during times of uncertainty,” that quantifies how retail organizations in the U.S. are heightening data-driven decision-making cycles to meet real-time demand and prepare for surging online sales brought on by the COVID-19 pandemic.
