Detect Potential Non-Payment in Smart Stores
SkipCheckout monitors shelf activity and reconciles items taken vs items paid, then flags potential discrepancies with photo and timestamp context for staff review.
Benefits of Using SkipCheckout
Turn end-of-day smart store audits into clear exception cases, so teams focus only on sessions that look inconsistent.
Compares items taken from shelves with checkout payments to highlight potential unpaid removal.
Provides staff with a timestamp and photo context to quickly review the specific moment a discrepancy may have occurred.
Monitors multiple shelves and zones to support automated shops where customers move freely.
Does not use biometric data and cannot independently identify customers or employees.
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Key Features
Designed for automated stores that need reliable discrepancy detection without interrupting the customer flow.
End-of-Day Discrepancy Matching
Reconciles total items taken with total items paid to surface exceptions that require review.
Visual Evidence with Timestamp
Delivers a clear photo and time marker to help staff validate what happened and when.
Store-Controlled Follow-Up
Integrates into store procedures: review, verify, and act according to internal policies and local requirements.
FAQ
Quick Overview
Built for smart store operations teams who need transparent evidence, simple reviews, and privacy-safe monitoring.
SkipCheckout is a smart store discrepancy detection program that compares items taken from shelves with items paid at checkout to identify potential non-payment cases.
It monitors shelf activity continuously and performs reconciliation at the end of each day to flag potential discrepancies.
A timestamp and a photo context of the customer at the moment they may have left without paying for an item, to support review.
No. SkipCheckout does not use biometric data and cannot independently identify any person. Any identification, if performed, is done via a separate store-managed system.
SkipCheckout flags potential discrepancies. The store reviews the evidence and decides what action to take based on its procedures.
How It Works?
SkipCheckout turns daily smart store activity into a short list of verified exceptions, with clear context for staff action.
Shelf Activity Monitoring
Monitors automated store shelves and records item take events across the shop.
Payment Record Collection
Captures checkout payment data for the same operating period.
End-of-Day Reconciliation
Compares items taken vs items paid to detect potential discrepancies.
Staff Alert with Evidence
If an exception is found, staff receive a timestamp and photo context for review and follow-up.
Ready to Reduce Smart Store Shrink?
Tell us your smart store setup (entry method, shelf system, checkout flow) and we will recommend the best configuration, integration path, and alert workflow.
Evaldas Budvilaitis
Co-Founder