How Schnucks Slashed Checkout Wait Times with AI

What You'll Learn in This Case Study

This white paper dives into Schnucks Markets' journey toward operational excellence using ExpressLane by Leverege. Inside, you’ll learn:

• How real-time queue visibility enabled faster, smarter staffing decisions
• The role of AI-powered video analytics in detecting missed “bottom-of-basket” items, a $2B/year industry problem
• Why Schnucks saw improved NPS and throughput without expanding headcount
• How ExpressLane drove ROI by reducing shrinkage and recovering lost revenue at checkout

Who This Case Study is For

This content is perfect for:

• Retail operations leaders seeking proven ways to reduce customer wait times
• Grocery chain executives looking to increase sales and shopper satisfaction
• Loss prevention teams facing bottom-of-basket shrinkage
• Technology and innovation directors exploring AI-powered store optimization
• Any enterprise seeking a scalable, cost-effective solution for queue analytics

Why Checkout Optimization Matters More Than Ever

With modern consumers expecting speed and convenience, long lines are no longer just a frustration—they’re a revenue killer. Schnucks' case proves that AI-powered queue intelligence isn’t just a nice-to-have; it’s a strategic imperative.

By downloading this case study, you’ll get firsthand insight into how Schnucks:

• Went from reactive to proactive queue management
• Unlocked new visibility into customer flow and service speed
• Integrated AI analytics seamlessly across multiple locations
• Created a customer experience that builds loyalty at the register

Bonus: Tech Specs Covered in the Report

• Real-time wait time & queue length tracking
• BoB (bottom-of-basket) object detection with instant cashier alerts
• Alerting system to reduce line abandonment
• Simple dashboard integration for store-level management

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