Designing AI-powered shopping experiences for the next generation of commerce

AI is changing the way people shop—but not every AI experience inspires trust.

As retailers and consumer brands race to implement AI tools—from recommendation engines to autonomous shopping agents—many are discovering that success depends on more than algorithms. Customers expect personalization that feels human, intuitive, and transparent.

This report reveals how leading digital and ecommerce teams are designing AI-powered shopping experiences that earn customer confidence and drive measurable results. You’ll learn how to blend behavioral data with real human insight to create intelligent features that not only work—but connect.

Inside, you’ll discover how to:

• Identify why customers abandon or ignore AI-powered features
• Build AI personas that reflect different levels of trust and control
• Test and refine AI-driven recommendations, chatbots, and assistants before launch
• Design for agent-to-agent interactions and establish guardrails for automation
• Benchmark and continuously improve AI experiences with customer feedback

See how ecommerce innovators are preparing for a future where AI collaborates with shoppers—not replaces them. From dynamic product bundling to predictive search, learn how to design experiences that feel smart, not robotic—and earn loyalty through trust.

AI may power the experience, but human insight keeps it real.

Get the guide and learn how to design AI commerce that customers actually want to use.