Meet SAI at LPF Loss Prevention Leadership Summit In Florida • Oct 27–29
FINALIST — Technology Initiative of the Year | The Grocer Gold Awards 2026
Meet SAI at LPF Loss Prevention Leadership Summit In Florida • Oct 27–29
FINALIST — Technology Initiative of the Year | The Grocer Gold Awards 2026
Checkouts

Assisted Checkout Monitoring

Summary

Retail checkout remains one of the most critical—and vulnerable—points in the store journey. Missed scans, procedural non‑compliance, and technical faults at the point of sale (POS) contribute to significant but often avoidable loss. SAI Group's Assisted Checkout Monitoring feature delivers intelligent, visual AI driven oversight across belted, non‑belted, and kiosk‑style checkout environments, enabling retailers to detect, understand, and address both behavioural and operational risks in real time.

Built as part of SAI Group's core loss prevention solution, the capability goes beyond traditional missed‑scan detection. It identifies complex behaviours such as Sweet Hearting, Robin Hood activity, and recurring patterns that may indicate training gaps or process drift. At the same time, it distinguishes human behaviour from system or POS faults, helping retailers surface technical issues that might otherwise remain hidden.

By combining real‑time intervention with deep operational insight, Assisted Checkout Monitoring supports loss prevention, colleague performance, compliance, and better front‑end decision‑making—without disrupting the customer experience.

Why Assisted Checkout Monitoring Is Important for Retail Stores

Checkout shrink remains one of the hardest forms of loss to control. Unlike theft on the shop floor, checkout loss often appears legitimate: items move through the till, staff are present, and transactions are completed. This makes root‑cause analysis difficult and traditional controls ineffective.

Key challenges retailers face include:

  • Missed scans, whether accidental or intentional, across staffed and self‑service lanes
  • Sweet Hearting, where items are deliberately not scanned for friends or family
  • Robin Hood behaviour, where colleagues give away items to benefit customers without personal gain
  • Bottom‑of‑basket and bottom‑of‑trolley loss, frequently overlooked in high‑volume environments
  • Undetected POS faults, such as non‑functioning quantity buttons or software bugs that prevent items appearing on receipts
  • Without clear visibility, retailers risk responding with blunt controls that damage trust, slow throughput, or unfairly penalise staff. Assisted Checkout Monitoring addresses this gap by providing objective, visual evidence and contextual insight—enabling proportionate, informed action.

    How the Assisted Checkout Monitoring Feature Works

    SAI Group's Assisted Checkout Monitoring uses visual AI to continuously observe checkout activity and correlate the item that is physically handled with the one registered on the receipt. The system operates consistently across belted checkouts, non‑belted counters, and kiosk‑style lanes, ensuring uniform coverage regardless of store format.

    Intelligent Event Detection

    The platform detects standard missed‑scan events, but also recognises more complex behavioural patterns. These include:

  • Repeated non‑scans linked to specific colleagues or scenarios
  • Item handling sequences that suggest intentional avoidance
  • Behaviour consistent with Sweet Hearting or Robin Hood activity
  • Recurring exceptions that point to training or process issues rather than misconduct
  • Real‑Time Intervention

    When a risk event is identified, the system can trigger live nudges at the till, prompting the customer to take immediate corrective action. This allows issues to be resolved in the moment—before loss occurs—and without escalating to formal intervention by store staff.

    Offline Review and Analysis

    All detected events are available for offline review, enabling audit, investigation, and coaching. Managers can examine visual evidence alongside transaction data to understand what happened, why it happened, and how it should be addressed.

    Bottom‑of‑Basket and Trolley Detection

    The feature includes dedicated detection for items left in baskets or trolleys, a common and costly source of missed scans. By identifying these events consistently, retailers can significantly reduce avoidable loss without increasing checkout friction.

    Identification of POS and System Faults

    One of the key aspects of Assisted Checkout Monitoring is that it does not assume that every missed scan is a human issue. The system can highlight scenarios where items are handled correctly but fail to appear on the receipt due to:

  • Faulty quantity buttons
  • POS software bugs
  • Integration or configuration errors
  • This insight helps retailers distinguish behavioural risk from technical failure, supporting faster diagnosis and more effective remediation.

    Benefits of Using the Assisted Checkout Monitoring Feature

    Reduced Checkout Loss

    • •By detecting both obvious and subtle missed‑scan behaviours, the feature directly addresses one of the largest contributors to retail shrink

    Fair and Evidence‑Based Decision‑Making

    • •Visual evidence and contextual analysis allow retailers to respond proportionately—avoiding assumptions, reducing false accusations, and building trust with colleagues

    Improved Colleague Performance and Training

    • •Recurring patterns highlight where additional coaching or process reinforcement is needed, enabling targeted training rather than blanket enforcement

    Stronger Compliance and Process Adherence

    • •Real‑time nudges and consistent monitoring reinforce correct checkout behaviour without disrupting throughput or customer experience

    Early Detection of Technical Issues

    • •By uncovering POS and system faults that masquerade as behavioural issues, the platform helps prevent ongoing loss and reduces time spent troubleshooting unexplained discrepancies

    Better Front‑End Visibility

    • •Managers gain a clearer, data‑driven understanding of what is happening at the checkout, and initiate smarter operational and loss prevention decisions.

    FAQ

    Does Assisted Checkout Monitoring work across different checkout types?

    Yes. The feature is designed to operate across belted, non‑belted, and kiosk‑style checkout environments.

    Is the system only focused on loss prevention?

    No. While loss reduction is a core outcome, the system also supports performance improvement, training, compliance, and operational diagnostics.

    Can events be reviewed after the transaction?

    Yes. All events can be reviewed offline for audit, investigation, and coaching purposes.

    How does the system handle unintentional errors or system faults?

    The platform helps distinguish between human behaviour and technical issues, such as POS faults, ensuring that root causes are correctly identified.

    Does real‑time intervention slow down checkout?

    Live nudges are designed to be minimal and supportive, enabling immediate correction without disrupting the customer experience.