Backroom Inventory

Walmart's 2.1M store associates struggled with inefficient workflows that hurt customer service across 4,700+ stores. I designed an AR experience with contextual information overlays and intuitive interactions, making complex tasks simple. Result: $100K+ projected annual savings, improved efficiency, and successful enterprise deployment.

$100K+ Annual Savings | 2.1M Users | Enterprise Scale

The Story

Challenge

  • Inefficient training processes for new associates

  • Poor access to contextual information during customer interactions

  • Inconsistent service quality across locations

My Approach

  • Human-centered AR that enhanced existing workflows

  • Contextual information hierarchy based on task needs

  • Scalable interaction patterns for diverse skill levels

Impact

  • $100K+ projected annual savings

  • Successful deployment across Walmart's store network

  • Enhanced associate confidence and service quality

Process Overview

Discovery

Conducted research across multiple store locations, mapping complete service ecosystem and identifying where AR genuinely added value to human workflows.

Strategy

Focused on enhancing existing behaviors rather than replacing them. Created contextual information architecture that prioritized critical data based on task context and user intent.

Solution

Intuitive AR interface with gesture-based interactions, seamless integration with existing systems, and enterprise-scale performance optimization for reliable operation during peak hours.

Results & Learnings

Outcomes

$100K+ annual savings, positive adoption across all experience levels, reduced time-to-competency for new associates, improved accuracy in customer service interactions.


Learnings

Successful technology adoption at scale requires obsessive focus on simplicity. The best AR feels invisible—users focus on tasks, not technology. Enterprise design means considering edge cases and diverse environments from day one.