FOR INVESTORS
Transforming Grocery Retail with AI
Expired Solutions tackles the $18B grocery waste problem with computer vision and predictive analytics. We're building a more profitable and sustainable future for supermarkets and shoppers.
The Problem
Grocery retailers lose billions annually to expired inventory and inefficient markdowns. Consumers struggle with trust in discounted food and toss out fresh items at home.
- $18B+ annual grocery produce waste in the U.S.
- 5-7% average shrink rate eating into 1-3% margins
- 30% of fresh produce ends up as waste
- 12+ states enforcing new food waste regulations
The Market
Initial target: 40,000+ U.S. supermarkets. Expansion into global markets and the broader perishable goods industry.
- $900B+ U.S. grocery retail market
- 40,000+ supermarkets as initial TAM
- Growing demand for sustainability/ESG tech
- Dual revenue: B2B (retailers) + B2C (shoppers)
Why Expired Solutions
AI Scoring
Computer vision analyzes visual cues to quantify produce quality. 99% identification accuracy across 77+ types.
Dual Impact
Reduces waste for retailers and builds trust for consumers. No other solution bridges both sides.
No Hardware
Works with existing phones and scanners. Zero CapEx for stores to get started.
Compliance
Proactive freshness tracking + digital audit trail for upcoming food waste regulations.
Traction & Milestones
Product
Full Platform Built
iOS apps (shoppers + merchants), FastAPI backend on Azure, dual CoreML models (11.9MB total).
AI/ML
99% Produce ID · 97% Quality
Trained on 400K+ images. 77 produce types. On-device inference in milliseconds.
Users
Beta Live on TestFlight
Shopper app available for testing. Early signups and feedback loop active.
Recognition
McGinnis Venture Finalist
Social Enterprise Prize at Carnegie Mellon's venture competition (2025).
Funding
Sandbox Fund Recipient
Bruce S. Gebhardt Sandbox Fund (Spring 2025) at Carnegie Mellon.
Retail
Giant Eagle Experience
Founder worked as Produce ATL, reducing shrink 1% in first month. Real-world workflow validation.
Projected Impact
20%+
Waste Reduction
Per-store spoilage savings through smarter markdown timing
3-6 Mo
Payback Period
ROI from shrink reduction covers implementation cost
100%
Freshness Visibility
Every item tracked for audit compliance and sustainability reporting
Contributes to UN SDG 12 (Responsible Consumption) and SDG 13 (Climate Action).
Founding Team
Lawrence Hua — Founder, CEO
Carnegie Mellon MISM (AI/ML) · UF CS · Motorola Solutions · GRUBBRR · Giant Eagle Produce ATL · Hustle Fund Emerging Founder Fellow · Amazon MTurk AI Evaluator
Built the full stack: CV models, backend, iOS apps, ML pipeline. Firsthand grocery retail ops experience.
Credibility & Affiliations
Featured In
Startup Spotlight
Food Waste Innovation
Retail Technology
Startup Coverage
Carnegie Mellon University
Swartz Center for Entrepreneurship
MISM Program · Pittsburgh, PA
Microsoft for Startups
Azure Credits · Technical Support
Go-to-Market Resources
Giant Eagle
Target Partner · In Outreach
470+ Store Regional Chain
Awards & Recognition
McGinnis Venture Finalist
CMU 2025
Sandbox Fund Recipient
CMU Spring 2025
Hustle Fund Fellow
Emerging Founder 2024
Amazon MTurk AI
Model Evaluator
Interested in Learning More?
We're open to conversations about partnerships, investment, and pilot opportunities. Reach out directly.
Email Lawrence DirectlyLawHuaExpired@gmail.com