Artificial Intelligence (AI)

Think about the last time you typed something into a search bar. Chances are, you didn't write the way you actually talk. You abbreviated. You keyword-stuffed. You learned, over years of conditioning, to speak the language of machines. That's over. The shopper sitting on her couch tonight isn't typing "linen dress size 10 under $300."…

When new technologies like agentic artificial intelligence emerge, retailers and brands look inward first: How can AI agents improve my demand forecasting? How can it automate marketing copy? However, there’s another level of agentic AI to think about — consumer goods brands and retailers supporting one another through shared intelligence (i.e., collaborative AI). Of course,…

More than half of consumers (58 percent) have replaced traditional search engines with generative artificial intelligence tools for product recommendations. That figure was 25 percent just two years earlier. Your next storefront visitor may not be a person at all. It may be a large language model (LLM) deciding whether to recommend your products. Most…

Retailers have seen this movie before. When mobile commerce first emerged, many brands treated it as a lightweight extension of e-commerce — a smaller screen layered onto existing digital infrastructure. Over time, it became clear that mobile was not simply a new interface. It fundamentally changed customer behavior, expectations, operating models, and the economics of…

The shopping journey used to start with a search bar. Now it starts with a conversation. Consumers are increasingly turning to artificial intelligence tools to research products, compare options, and make decisions before they ever land on a brand’s website, walk into a store, or open an app. For retailers, the immediate challenge is visibility:…

Artificial intelligence has made grandiose promises to retailers’ consumer insights teams that rarely pan out: 95 percent of generative AI pilots fail, and many “solutions” are just chatbots tacked onto existing methodologies. Fifty-six percent of CEOs in PwC’s 2026 Global CEO Survey even note that AI adoption didn’t amount to anything at their organizations. That…

For years, shopper marketing has operated as a collection of disconnected systems. Retail media, promotions, loyalty programs, digital shelf strategies, and analytics lived in separate platforms managed by separate teams. As a result, brands and retailers have often struggled to connect marketing activity to actual sales outcomes. As consumer expectations rise and marketing budgets face…

As consumers increasingly turn to artificial intelligence agents for routine shopping decisions, many retailers fear AI could spark a ruthless race to the bottom on price. The reality is much more nuanced. According to Accenture’s latest global survey of more than 25,000 consumers, rather than simply and exclusively directing consumers to cheaper private labels, AI…

Generative artificial intelligence is rapidly changing how advertising gets made. What once required days of model shoots, full video crews, and large creative teams can now be produced faster and at lower cost with AI tools. For retailers, that means quicker creation of digital ads, seasonal campaigns, product imagery, social media content, and even updated…

Remember Jarvis from "Iron Man"? Before generative artificial intelligence became part of everyday conversation, Tony Stark had something most of us could only imagine — an intelligent assistant that understood context, anticipated needs, answered questions, and helped him make decisions in real time. Jarvis wasn't just a search engine. He wasn't a static database of…