Platforms & Ecosystems
Immersive Commerce: Early Lessons From Walmart
The retailer’s experiments in immersive commerce offer marketing leaders lessons on reaching a new set of consumers.
The retailer’s experiments in immersive commerce offer marketing leaders lessons on reaching a new set of consumers.
This Executive Interview discusses how retailers can build flexible, future-fit IT environments.
Struggling physical stores can draw in customers by offering in-store experiences that online shopping can’t replicate.
On the Me, Myself, and AI podcast, Stitch Fix’s Jeff Cooper explains how generative AI enables employees to gain more efficiencies while still connecting with customers.
Research shows that retail and CPG companies are optimistic about investments in CX technology.
L’Oréal’s Stéphane Lannuzel discusses artificial intelligence’s role in technology innovation in the beauty industry.
Engaging retail workers on environmental sustainability can boost employee attraction, retention, and satisfaction.
EBay’s chief artificial intelligence officer shares how the e-commerce platform uses AI to help both buyers and sellers.
Katia Walsh discusses how Levi Strauss is upskilling and motivating employees to help drive its digital transformation.
Barbara Martin Coppola explains how IKEA’s digital transformation is a natural extension of its collaborative culture.
In-store technology promises a better customer experience — and fuel for improved retail analytics.
New research on retail profitability, the promise of platform-based business models, and retraining employees to meet revised strategic priorities.
Home Depot’s Huiming Qu discusses how the home improvement retailer leverages AI to improve the customer experience.
The fashion retailer’s chief data and analytics officer uses agile pilots to assess and scale technology initiatives.
Walmart’s Prakhar Mehrotra discusses leading AI teams and workstreams in this episode of the Me, Myself, and AI podcast.
In a global pandemic, a quick pivot to a digital business model may help retailers survive.
AI is making it possible for companies to reach a new level of customer-centric marketing.
Retail companies that neglect machine learning do so at their peril.
Retailers can boost profits and prevent abuse by tailoring their return policies with analytics.
Retailers have new challenges in getting customers to accept different prices on different channels.