Right Product, Right Place, Right Time with José Chan, Professor at Parson's and Founding Member ...

30 Aug 2024 · 24 min
24:18

José Chan, a Parsons professor and co-founder of Select, explains how machine learning predicts fashion demand to solve retail's core problem: inventory, the largest balance-sheet item. He contrasts Zara's tech-first model with H&M's slower adoption, and details how Children's Place turned around through product leadership, system integration, and digital strategy.

Chapters

More from Will

youtube.com

The Kids’ Shoe That Grows With Your Child | STRIDE USA 2026

5mo ago
youtube.com

Why AI Alone Won’t Transform Retail | STRIDE USA 2026

5mo ago
youtube.com

AI, Creativity & the Future of Footwear | STRIDE USA 2026

5mo ago
youtube.com

The Future of Footwear? 3 Startup Pitches from STRIDE USA 2026

5mo ago
youtube.com

Earth Day

5mo ago
youtube.com

Why Their “Perfect Match” Merch Strategy Failed in Stores ❌

6mo ago
youtube.com

$250 Billion of Waste… Every Year 🤯

6mo ago
youtube.com

Why Brand–Supplier Relationships Are Failing

6mo ago
youtube.com

How Fashion Can Turn Waste Into BILLIONS

6mo ago
youtube.com

Virtual vs Physical: The Truth About Color Approval in Fashion

6mo ago
youtube.com

Patagonia’s 3D Strategy: What Actually Works (and What Doesn’t)

6mo ago
See all content