Nike

Vision Youth Eyewear

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A data-driven sizing architecture that reduced SKU complexity by 33% while expanding youth market coverage across domestic, European, and Asian markets.

📅 2012-2014 🏷️ Product Strategy 💰 $10M+ Sales
Product Strategy Systems Thinking Product Development Operational Design

Overview

Traditional sizing created too much complexity for a global youth market. Following VSP's acquisition of Marchon, we gained access to insurance fulfillment data that showed actual fit patterns across populations — not assumptions about what sizes should exist, but evidence of what sizes people actually wore.

The data revealed that larger sizing gaps, placed at specific intervals based on actual fit patterns, could cover multiple markets with fewer sizes. This enabled a coverage architecture rather than traditional 2mm increments requiring separate collections for each market.

The Problem

Following VSP's acquisition of Marchon, access to insurance fulfillment data provided visibility into actual sizing patterns. The question wasn't "how many sizes do we need?" The question was "what's the minimum sizing architecture that serves the most markets?"

Once sizing architecture reduced SKU count, the next constraint was cost. Target price points required rethinking construction. Traditional youth optical frames relied on expensive adjustability mechanisms (core-wire temples, spring hinges).

The Approach

I approached this as a data-informed architecture problem rather than a styling challenge:

  1. Coverage architecture: Use actual fit patterns from insurance data to place strategic sizing gaps
  2. SKU optimization: Reduce complexity by approximately one-third while improving coverage
  3. Material strategy: TR90 material properties (flexibility, low-temperature adjustability) replaced mechanical complexity

The result was a single collection serving domestic, European, and Asian markets with fewer SKUs and lower cost structures.

What Was Built

  • Data-informed sizing architecture — Based on VSP insurance fulfillment data
  • Youth optical frames — With TR90 construction
  • Single collection — Serving multiple markets
  • Reduced SKU complexity — ~33% reduction
  • $10M+ in sales contribution — And ~10% company growth

Outcomes

~33%
SKU Reduction
$10M+
Sales Contribution
~10%
Growth Contribution
3
Markets Served

Youth market expansion through data-driven sizing architecture, not styling assumptions. SKU reduction enabled broader assortment without increasing complexity.

Why This Matters

This project demonstrates:

  • Product strategy — Evidence-based decision making from market data
  • Systems thinking — Understanding that sizing is an architecture, not an increment
  • Operational design — SKU reduction enabling broader assortment
  • Product development — Material selection aligned with architectural constraints