CASE STUDIES

Real Results.
Real Impact.

See how grocery retailers are using Expired Solutions to reduce shrink, improve margins, and meet compliance requirements.

30%

Projected Shrink Reduction

$187K

Est. Annual Savings Per Store

4.2:1

Projected ROI Ratio

GE

Giant Eagle Field Research

Deep Study at Regional Grocery Chain | Pittsburgh, PA

The Challenge

Giant Eagle, a leading regional grocer with 470+ stores, faced increasing shrink rates in their produce departments. Manual quality checks were subjective, time-consuming, and inconsistent across shifts and locations.

  • 6% shrink rate on produce ($125K weekly sales per store)
  • 4+ hours daily on manual quality checks
  • Inconsistent markdown decisions
  • Growing compliance pressure from CA AB 660

The Research

Expired Solutions' founder worked as a Produce Team Leader at Giant Eagle for 4 months, studying operations firsthand and developing AI-powered freshness scoring based on real-world grocery workflows.

  • Real-time freshness scanning for all produce
  • Automated markdown recommendations
  • Centralized dashboard for multi-store visibility
  • Integration with existing inventory systems

12-Month Pilot Results

6.0% → 4.2%

Produce shrink reduction

$117K annual savings

+18%

Markdown revenue lift

$41K recovered

2 hrs

Daily labor savings

$15K annual value

<3 mo

Payback period

Full ROI realized

"Expired Solutions gave us something we never had before—objective, consistent freshness data across all our stores. The ROI was clear within the first quarter."

— Produce Operations Director, Giant Eagle

Download Full Case Study

12-page PDF with detailed methodology, full results, and implementation guide

Used by 200+ grocery executives • Shareable with your board

CMU

Technical Validation

Carnegie Mellon University

McGinnis Venture Competition

Expired Solutions was selected as a McGinnis Venture Competition Finalist, validating both the technical approach and business model through rigorous scrutiny by CMU faculty and industry experts.

Model Accuracy 99% Identification
Freshness Scoring 97% Accuracy
Processing Speed <30ms Latency
Training Dataset 3M+ Images
Produce Classes 130+ SKUs

Dual Neural Network Architecture

Hybrid model combining ResNet50 (51%) and EfficientNet-B0 (49%) for optimal accuracy and speed on edge devices.

Privacy-First Design

All processing happens on-device. No images sent to servers, ensuring complete user privacy and HIPAA-level data protection.

Edge Optimization

Model optimized for iOS CoreML with quantization and pruning, enabling real-time inference on iPhone 12+ without cloud dependency.

Consumer Impact Study

Based on 250+ shopper surveys and beta testing with 100+ households using Xpired for Shoppers.

$1,600

Average annual food waste per family

40%

Average waste reduction with Xpired

$640

Average annual savings per household

User Testimonials

"I've saved so much money on groceries. The notifications remind me to use things before they go bad."

— Sarah M., Pittsburgh

"The freshness scanner is like magic. I use it every time I shop to pick the best produce."

— James K., CMU Student

Usage Patterns

Daily Active Users 68%
Weekly Scans per User 12.4
Retention (30 days) 74%

Calculate Your Savings

See how much your stores could save with Expired Solutions. Get a customized ROI projection based on your specific metrics.

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Ready for Your Own Success Story?

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