Agentic AI in Retail and E-commerce Market Size, Share & 2031 Growth Trends Report

The platform also includes 75+ prebuilt templates for common retail workflows. Kore.ai’s no-code visual drag and drop builder allows operations teams to design, launch, and scale AI-powered processes, from invoice handling to workforce scheduling, without writing code. The platform supports GDPR, CCPA, and industry-specific regulations, and can be deployed on-premises or in private cloud environments for maximum control. Success requires unified data strategies, clear governance guardrails, and platforms designed for enterprise-scale deployment. See how our platform helps retailers cut costs, streamline operations, and deliver smarter customer experiences across every touchpoint. Get a custom walkthrough of how leading retail teams are reimagining operations with Kore.ai’s AI for Retail platform, and discover how you can deliver the same results.

Early adopters are also using ChatGPT and Copilot to shop and check out directly from the platforms. However, generative AI platforms like ChatGPT, Microsoft Copilot, and Gemini are already reshaping consumer behavior. Buyers can expect to find the best offers suited to their preferences, be it lower prices, attractive rewards, better services, faster shipping, or unique products, through one interface. Conversely, retailers that aggressively invested in their own e-commerce platforms with clear differentiators and strong omnichannel presence were better positioned to flourish over time. Learn how agentic AI is set to extend automation of business operations, elevating the workforce and expediting outcomes. Retailers and consumer products companies are using AI to meet and exceed customer experience expectations and drive innovation.

Agentic AI can monitor inventory levels, analyze trends, and automatically reorder stock, reroute shipments, or identify supply chain disruptions. Generative AI is about producing something new, while agentic AI is about achieving something specific. It can not only generate content but also plan, coordinate, and execute actions over time to achieve specific objectives. By enabling machines to act independently in these environments, agentic AI is redefining what automation can achieve.

Key takeaways (TL;DR)

Yet 79% of strategists call AI critical while only 20% use it daily, highlighting execution risk. Colgate-Palmolive’s internal AI Hub yielded 3,000 custom assistants, illustrating how democratized tooling can offset hiring gaps. As recommendations grow context-aware, consumers develop loyalty to platforms that “know” them, raising competitive barriers.

How agentic AI improves the customer experience

Zara, the flagship brand of Inditex, has long been recognized for its fast-fashion model—delivering runway-inspired clothing to stores within weeks. The integration of AI-driven solutions has allowed the company to operate more efficiently, reduce waste, and provide a seamless shopping experience for its customers. AI-driven store layout improvements have enhanced customer journeys, leading to greater engagement and stronger brand connection. The automated labor scheduling system has optimized workforce allocation, improving employee productivity and better customer service.

Early adopters spread fixed GPU costs across millions of interactions, reinforcing economies of scale not available to late entrants. Through AI Buzz, he shares his expertise on the future of work and emerging AI technologies. Weekly AI insights, tools, and strategies — delivered every Monday. Agentic commerce involves AI agents that act on behalf of consumers — comparing products, applying discounts, managing subscriptions, and completing purchases autonomously. Retailers who are not structuring their product data, customer experience, and operational AI for an agentic discovery environment are not in a holding pattern.

By the time your teams finally align on a cross-channel strategy, the market has already moved on. While customer experience enhancement sets the stage for a more personalized shopping journey, channel optimization ensures that these experiences are seamlessly executed across every touch point, both online and offline. Nearly half of all shoppers (49%) abandon purchases due to friction in the ordering process. These agentic AI retail use cases span everything from inventory management to dynamic pricing, proving just how transformative this technology can be across the retail value chain. Hence Agentic AI—systems that can take https://www.mindsetterz.com/smart-banking-solutions-finding-the-right-checking-account-for-your-business/ autonomous actions toward business goals rather than simply responding to queries—are uniquely positioned to maintain perfect context throughout the customer experience. Retailers are actively adopting and evaluating agentic AI in retail where we already see 43% of retailers piloting with autonomous AI, and another 53% are evaluating its uses

They look at trends, guess future outcomes, and even suggest what should be done all by themselves. These smart tools do more than just keep track of numbers. But thanks to the integration of agentic AI in retail, that’s quickly changing. Now, with retail automation solutions, AI agents can work like smart assistants, quickly going through huge amounts of data and giving clear, actionable insights. With dynamic pricing AI tools, agents can change prices based on what’s working and what’s not, making the business more competitive without the guesswork. Using real-time data and past trends to help make decisions, AI helps fine-tune everything from how the shelves are set up to when promotions happen.

• Furthermore, don’t get relegated to a “dumb fulfillment pipe.” Hold onto last-mile logistics and checkout when possible.
• Spec-driven asks (“cheapest four-pack of Energizer AA batteries by tomorrow”) will flip sooner as shoppers seek to optimize for price, availability, and convenience, quickly disrupting multi-brand retailers.
• As AI agents mature and integrate further, retailers can expect accelerated ROI, greater operational agility, and enhanced AI-powered customer experiences that drive competitive advantage and steady growth.
• NiCE, as a CX and contact center platform provider, offers solutions that help large retailers operationalize agentic AI across contact centers, digital channels, and physical stores through platform like CXone.

Expanding AI transparency in ads

• 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.
• Rather than relying on rigid bots or static automation, AI agents respond as situations evolve, adjusting in real-time as new inventory data, competitor pricing signals, or customer behaviors emerge.
• Every attribute, image, specification, availability signal, and proof point directly impacts whether a product is surfaced, compared, or selected.
• This is where agentic AI in retail steps in to make things different for both retailers and customers.

At Directions EMEA 2025 in Poznan, Poland, LS Retail was proud to be highlighted for our contribution to the Microsoft AI Red Carpet, and we are looking forward to continuing to innovate with this technology. And since LS Central is able to access the latest Microsoft AI technology, retailers can explore these innovations whenever they’re ready. This is an industry that depends on thousands of interconnecting workflows every day and AI agents can step in and handle many of these tasks automatically. Microsoft is already building agentic AI https://in4dealz.net/will-digital-fashion-influencers-change-shopping/ capabilities into its platforms.

• The top concern for consumer goods executives is “the quality of outcomes” from AI agents, followed by “employee acceptance” and “legacy technology.”
• As these AI systems scale, they will become increasingly specialized and self-sufficient, streamlining operations with minimal human oversight.
• AI-driven labor planning models predict staffing needs during peak periods, reducing labor costs by 18% without compromising service quality (Target implementation).
• In retail, merchandising & supply chain teams lose a staggering amount of time chasing data across legacy ERPs and spreadsheets.
• What sets agentic ai apart is its ability to enhance human capabilities rather than replace them—but only when organizations invest in their people alongside their technology.

These agents are ready-to-deploy but fully adaptable, allowing teams to update promotions, return policies, and FAQ logic in real-time as market trends shift. AI agents operate within defined brand and policy constraints, ensuring that every customer interaction and back-office transaction remains compliant with data privacy laws and internal business logic. Kore.ai helps retailers and e-commerce brands embed AI agents into every layer of their operations. One agent monitors throughput, exception rates, and automation coverage across workflows. While 76% of consumers expect brands to offer personalized experiences, only 35% of retailers currently deliver them across all channels. Currently, up to 30% of operating budgets in retail are swallowed by admin tasks, leaving teams with no financial headroom to grow the brand.