Give business leaders the tools to monitor and adapt agent workflows as needed. Agents don’t replace your teams—they make them more scalable and focused. Invest in platforms that let you orchestrate agents across the customer journey. Agentic commerce isn’t about layering AI on top of legacy systems—it’s about integrating agents as core actors in your business logic. One area where agentic commerce truly shines is clienteling—building long-term customer relationships through personalized service.
- Consumers are starting shopping journeys with AI agents rather than search engines or retailer websites.
- By 2030, analysts project that 25% of global e-commerce sales will be enabled by AI agents, and 55% of digital consumers will already begin product research using large language model platforms.
- The traditional inventory management process, which relied on manual tracking, historical sales data, and static forecasting models, often resulted in inefficiencies such as stockouts, overstocking, and supply chain bottlenecks.
- The transformation extends to convenience and fuel retail, where personalization meets operational efficiency.
- Combined with our Agent Development Kit (ADK), we’re making it easier for retailers to build and deploy multi-agent systems that can securely connect across the commerce landscape.
Customers can instruct Alexa to research the best deals on specific products, add items to their cart, or complete transactions using stored payment information. By integrating sustainability-focused AI solutions, Levi’s has also reduced its environmental impact by optimizing resource utilization and lowering production-related waste. As a result, the company has seen increased full-price sell-through rates and reduced reliance on markdowns, preserving brand value and profit margins.
The traditional inventory management process, which relied on manual tracking, historical sales data, and static forecasting models, often resulted in inefficiencies such as stockouts, overstocking, and supply chain bottlenecks. Walmart utilizes AI for real-time inventory tracking and automated customer support, while Levi Strauss employs AI-based demand predictions to balance stock levels and minimize excess inventory. Control of product data access is becoming contentious, as seen in legal disputes about how automated systems gather and use retail information.
Describe your audience. Let AI build the segment.
On the other hand, retailers that engage without a differentiated value proposition and the ability to compel direct consumer traffic risk disintermediation and commoditization. As AI engines become a default shopping starting point, and discovery shifts to agent-curated answers, traditional paid search will be harder to attribute and optimize. To understand the stakes, it’s pragmatic to consider the bookends. While timing and depth of adoption are uncertain, autonomous agents are already redefining the rules of search, advertising, personalization, fulfillment, payments, and post-purchase support. Of the ecommerce platforms, Shopify is leaning in the earliest and hardest.
As an orchestrated end-to-end solution, it unlocks innovation opportunities in three key areas. The industry is at a https://scriptmafia.org/ebooks/607203-omnichannel-retail-a-strategic-approach-for-planning-and-decision-making.html point where technology needs to be smart and self-directed. While these systems are a progressive step in retail technology, they're still designed to see and report instead of proactively alert and act.
A new consumer starting point
It is happening in the tools and platforms your customers are already using every day. In this new environment, if your catalog, https://consultprofound.com/telkomcel-holds-tais-2025-strengthens-commitment-to-innovation-and-digital-transformation.html?noamp=mobile pricing, and fulfillment data cannot be understood and acted on by intelligent agents, your brand risks being filtered out altogether. To succeed in 2026, Riedy said CPG brands will need to adjust their marketing and promotions strategies to take into consideration how AI-driven decision-making is both responding to and shaping consumer behavior. Most store technology systems today are reactive, but retail environments move faster than scripted responses can follow.
Key insights
Gap Inc. plans to use AI tools to reimagine retail across its iconic portfolio of brands, including Old Navy, Gap, Banana Republic, and Athleta. Agentic intelligence makes insights easy to understand, so teams can move faster and stay focused on what matters. Signs that the transformation is nigh include PayPal launching its Agentic Toolkit and Visa and Mastercard racing to develop payment tools that enable AI agents to make purchases on behalf of customers. If it has rich data on products that it’s looking at, it can be very specific about finding products that meet that context-rich search.