SAIZ

Overview

In 5–10 years, online shopping will look radically different. Instead of scrolling through endless filters and PDPs, customers will simply tell an AI assistant: “I need a blue dress for my sister’s wedding.” The agentic shopping world is coming fast - but unless we solve one fundamental problem, it risks becoming more frustrating than convenient: size & fit.

Imagine the AI suggests the perfect dress, only for the customer to discover their size is unavailable - or worse, that the size they order doesn’t fit. What should have been seamless becomes broken. This isn’t just about UX; it’s about conversion, loyalty, and returns, the biggest pain points in fashion commerce today.

The missing piece is a single source of truth: a Product & Customer Data Platform (PCDP) where raw product data and real customer data converge. When AI assistants are powered by personalized data - not generic open-source models - the shopping experience becomes truly frictionless, scalable, and brand-defining.

This talk will explore how fashion brands can prepare for this AI-first future, why fit is the foundation of trust, and how those who adapt will move from millions to billions.

Key Takeaways

• Understand the “agentic shopping” future - how AI assistants will reshape online shopping experiences.
• Why size & fit will make or break AI-powered commerce - the hidden cost of neglecting it.
• The role of a PCDP (Product & Customer Data Platform) as the foundation for personalized AI shopping.
• Strategic outlook - why brands who master fit + AI today will be the market leaders tomorrow.

Framing (Why You/Why SAIZ)

At SAIZ, we’re already building this future with our PCDP and KAIA, our AI shopping assistant - tools that transform generic AI recommendations into personalized, size-perfect journeys. This talk blends vision + practical insights from the frontlines of fashion AI.

Target Audience: Ecomm Managers, CX Directors, Digital Transformation Leaders, CEO, COO etc.