AI is Powering the Next Era of Retail Transformation
In the News
AI is Powering the Next Era of Retail Transformation
Retail is entering a new phase of digital maturity, one where artificial intelligence isn’t just a tool to optimize processes, but the engine behind new business models. From retail media networks to concept creation within R&D, AI is redefining how brands create value, engage consumers, and scale innovation. In 2025, we saw retailers moving from experimentation to operationalization. We see this trend accelerating in 2026, turning AI from a promising capability into a competitive advantage.
New Retail Models for a Data-Driven Future
For years, retailers have relied on AI to improve forecasting, personalization and inventory management. However, the next wave is about reinvention. For example, retail media is rapidly becoming one of the fastest-growing profit engines, with U.S. ad spend projected to exceed $100 billion by 2027. AI makes these networks smarter and more profitable, both for the retailer and the advertiser, matching relevant ads with intent signals across digital and in-store touchpoints.
Meanwhile, subscription and service-based models are reshaping customer relationships. Predictive analytics helps brands anticipate when a shopper needs a refill, upgrade or exclusive offer, turning transactions into recurring engagement. Some brands are also experimenting with digital consumer twins — i.e., anonymized models that simulate shopper behavior to test new products or promotions before launch. These innovations reflect a broader trend: using AI not just to optimize the value chain, but to extend it.
From Isolated Use Cases to End-to-End Optimization
Historically, AI in retail was deployed in silos, one model for pricing, another for logistics, and yet another for marketing or demand forecasting. The future is integrated. Leading retailers are connecting demand forecasting with supply chain agility, dynamic assortment planning, and sustainability goals in order to optimize value across the entire chain of core retail processes.
Achieving this level of integration requires a modern data architecture: unified, secure and built for scale. Many retailers are struggling to prioritize investment in this foundational capability, wrestling with legacy systems and on-premises solutions, as well as having to compete with a crowded investment agenda featuring the demands of store refurbishment, supply chain improvements and investing in price competitiveness.
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