Fuel and convenience stores do not just have a theft problem. They have a visibility problem

Shrinkage at the forecourt

Fuel and convenience stores sit at the intersection of fuel retail, quick-service food, tobacco, alcohol, lottery, parcel activity, and high-frequency impulse shopping. While this makes them commercially powerful, they are also highly exposed to shrinkage.

For these stores, loss does not come from one source. Instead, it can come from shoplifting, organised retail crime, employee theft, refund or void abuse, delivery discrepancies, stock-count errors, and safety incidents that prevent staff from intervening.

Across convenience stores using SAI One for aisle monitoring, an average of roughly 102 alerts per store per month is reported while this is only about 65 per supermarket store. That puts the per-store exposure in convenience formats at about 1.6 times that of supermarkets.

• In the United States, the National Retail Federation’s 2026 report found that organised retail crime has evolved into scams, gift card fraud, cargo theft, and supply-chain theft.
• In the United Kingdom, the Association of Convenience Stores’ 2026 Crime Report recorded 5.8 million convenience-store shop theft incidents, more than 950,000 verbal abuse incidents, and £313 million in crime-prevention investment.
  
  The British Retail Consortium’s 2026 Crime Report said violence and abuse against shopworkers account for 1,600 incidents per day. When staff do not feel safe to challenge theft, shrinkage becomes unstoppable. If technology can bring visibility to retail theft, colleagues can avoid confrontation, and that changes the dynamic for theft prevention.
  
  In July 2026, SAI One identified over 7,000 stolen items and around 5,000 thefts were either deterred or resulted in payment being made. These numbers confirm that theft in smaller formats is persistent, frequent, and measurable, only when the store staff have the right visibility.

Shrinkage is broader than shoplifting

For US forecourt retailers, the risk profile is shaped by mobility and store design. Many sites are located on commuter corridors or highway routes, creating high traffic from shoppers who may never return. High-value, compact, easily resold categories such as tobacco, alcohol, batteries, medicines, energy drinks, and small electronics are placed in close proximity to entrances or counters.

During peak periods, colleagues’ attention is drawn in multiple directions. They must authorize pumps, serve queues, prepare food, manage deliveries, and watch restricted categories. Carrying out all these actions simultaneously causes several blind spots, which organised groups and opportunistic offenders can exploit.

In the UK, the challenge is more intensified due to the community role of forecourt convenience stores. Although staff may recognize repeat offenders, they feel unsafe challenging them, especially when theft is linked with abuse, threats, or violence. Night trading, lone working, busy payment points, and delivery congestion add further risk. Even where headline incidents decline, the operating burden remains high because retailers must invest heavily in deterrence, reporting, and staff protection.

Store area data gives a clearer picture of the challenges:

• UK: The latest ACS Forecourt Report shows the scale of exposure in the UK. 8,279 forecourt sites, £5.3 billion in non-fuel sales, and more than 85,000 jobs. This is a clear indication that the convenience-store area is a major commercial and risk zone.
• US: NACS states that convenience retailers face crime in or near store properties and that rising crime is forcing operators to divert resources toward security and to even consider closures. Fuel and convenience retailers need to prioritise the full store environment including entrances, aisles, high-risk categories, checkout, foodservice, backroom, and parking-lot-to-store transitions.

Internal theft is another aspect that needs to be considered. This could involve cash skimming, sweethearting, unauthorized discounts, refund fraud, loyalty misuse, fuel or food service abuse, and inventory manipulation. These losses are hard to spot because they appear like normal transactions unless video, POS, inventory, and shift data are connected. For smaller operators with lean teams, even a modest pattern of internal shrink can quickly erode margin.

The mainbank monitoring feature provided by SAI One has flagged 1,058 cases across our client estate in one just month (July 2026). This translated into a combined loss exposure of around £7,000 in a single month. This proves ample evidence that till-based loss exists at a measurable level when the store personnel have the right tools to see it. For fuel and convenience retailers with high cash-handling and lottery volumes, the exposure is likely higher.

Why traditional loss prevention falls short

Conventional CCTV is valuable, but it is usually reactive. Managers often watch footage after stock is missing. This can, at best, lead to an investigation but cannot prevent loss. Locked cabinets can protect high-risk categories, but they also create friction for legitimate customers. Most forecourt cameras record everything and surface nothing. The distinction between passive recording and active intelligence is what separates legacy CCTV from what's now possible.

When manual inventory checks are carried out, discrepancies are discovered late; moreover, the staff cannot be expected to monitor every aisle, till, pump, delivery, and self-service area in real time.

The biggest weakness is the lack of a connected view between CCTV, POS exceptions, and inventory adjustments. Without a connected view, a suspicious refund, a missed scan, a delivery discrepancy, or a repeat shelf sweep may look isolated. This is exactly the gap that real-time visual intelligence is designed to close, turning passive surveillance into connected, actionable insight. SAI One closes that gap by turning surveillance into operational and store intelligence.

Transactions alone do not give a clear picture

A few technology solutions focus on transactions to check if fraud is occurring. However, theft happens even when transactions are not being done. Perhaps the weakest link in the fuel and convenience store is the checkout counter itself. All it takes is for the staff sitting behind the counter to pocket or give out items without involving billing or payment.

Mainbank data from SAI One managed stores confirm the fact that this worrying trend is playing out. In July 2026 alone, manned-till monitoring picked numerous cases of missed scans and item-level loss across our client stores. None of these involved a customer transaction in the traditional sense; they were counter-level events that would have been invisible without video-linked POS analysis. In a fuel and convenience store context where one person is handling fuel, tobacco, lottery, and general sales simultaneously, this is even more concentrated.

SAI One provides continuous 24x7 monitoring of the counters and the aisles analyzing live video footage from the store’s CCTV cameras.

How SAI One helps

SAI One analyses camera feeds in real time to detect events, movement patterns, queue conditions, checkout anomalies, shelf gaps, and behaviours associated with concealment or non-payment, powered by a proprietary Vision Language Model (VLM) trained on over four years of retail-specific data.

In practice, that means a steady flow of aisle alerts, each one representing a moment where the system saw something a busy colleague might have missed.

• Theft detection: Flags repeated shelf sweeps, unusual dwell time in high-risk aisles, and concealment patterns.
• Internal theft: Links video to voids, refunds, no-sales, discounts, loyalty overrides, cash drawer openings, and age-restricted product transactions.
• Checkout and self-checkout protection: Identify missed scans, basket-to-bag movement without matching transactions, barcode switching, and cashier sweethearting indicators.
• Delivery and backroom control: Compares stock movement with receiving activity and detects mismatches during store-area replenishment and vendor deliveries.
• Queue and unattended-counter alerts: Notifies staff when service points are exposed, reducing the window for theft and improving customer experience.
• Evidence search: Helps supervisors locate relevant video evidence quickly for repeat-offender reporting, police referral, or internal investigation.

Best practices for store-area theft prevention

Retailers who see the strongest results, share a common approach. They treat prevention as an operational discipline, not just as a security function. Here's what that looks like in practice:

• Prioritise the high-risk zones: Map entrances, exits, coolers, tobacco displays, alcohol bays, self-checkout, checkout counters, and backroom doors. Camera coverage and alert rules should follow the actual loss map, and not be solely based on a generic floor plan.
• Use service as deterrence: Train staff to respond to alerts with safe customer-service measures, such as offering help in a high-risk aisle.
• Connect POS exceptions to video: Review voids, refunds, no-sales, discounts, loyalty overrides, cash drawer openings, and age-restricted product transactions with matching video clips.
• Reduce blind spots: Improve lighting, shelf height, and product placement.
• Employee monitoring: Ensure employees are carrying out their responsibilities as expected. For instance, a fuel and convenience store employee engaged in a long phone call is a major risk for store safety and provides opportunities for theft.
• Create repeat-incident playbooks: Standardize evidence capture, incident notes, manager escalation and police reporting thresholds to ensure that every site responds consistently.
• Measure prevention: Instead of focusing only on detections, store personnel can track the number of alerts reviewed, incidents prevented, shrink by category, repeat-offender activity, staff safety perception, and investigation time. They can shift from asking "how much did we lose?" to tracking alerts raised, incidents responded to, thefts deterred, and patterns identified in real time, across every store, every day.

Protect your colleagues, customers, and margins

Shrinkage in fuel and convenience stores is now a multi-dimensional problem. It affects margin, safety, labor productivity, customer experience, and brand trust. The latest data confirms that theft, abuse, internal loss, fraud, and process shrink remain persistent challenges.

SAI One gives fuel and convenience retailers a way to move from passive recording to active prevention in the store area. By connecting camera intelligence with POS, inventory, delivery, and incident workflows, operators can detect risks sooner, investigate faster, protect employees, and preserve convenience for legitimate customers.

For fuel and convenience retailers, where margins are thin and operational exposure is concentrated into a single counter and a handful of aisles, the case for connected visual intelligence is becoming harder to defer. The technology exists, it runs on existing camera infrastructure, and the retailers using it are already measuring results they could not see before.

The winners will not be the ones adding more cameras. They will be the ones who turn visual intelligence into measurable, responsible, and repeatable store execution. CCTV cameras are not the advantage; what you do with them decides the return on investment.

FAQ

Q. Can SAI One help with internal theft?

Yes, SAI One monitors 24x7 behind the checkout as well, not just when a transaction happens. By connecting video evidence with POS exceptions such as voids, refunds, no-sales, discounts, loyalty overrides, cash drawer openings, and age-restricted transactions, SAI One can help in reviewing patterns that may otherwise resemble normal activity.

Q. What is shrinkage in fuel and convenience stores?

Shrinkage is inventory or revenue loss related to shoplifting, organised retail crime, employee theft, refund or void abuse, delivery discrepancies, and stock-count errors.

Q. Why are forecourt convenience stores exposed to shrinkage?

Forecourt convenience stores typically involve high footfall, fast transactions, compact high-value products, fuel authorization, food service, deliveries, and often limited staffing. This creates blind spots across aisles, counters, entrances, backrooms, and parking-lot-to-store transitions.

Q. How does SAI One help reduce theft and loss?

SAI One provides 24x7 live monitoring of the store by analyzing live CCTV feeds to detect suspicious movement patterns, shelf sweeps, concealment indicators, checkout anomalies, unattended counters, and other events that may signal theft or operational risk. It gives staff timely cues so they can respond safely and consistently.

Q. Does SAI One replace store colleagues?

No. SAI One supports colleagues and managers by surfacing risks faster, reducing manual review time, and helping teams respond with safer customer-service-led interventions rather than confrontation.