At first glance, a shopping cart filled with groceries seems perfectly ordinary. But beneath the basket, hidden from plain sight, products can easily leave the store without ever being scanned.

This type of retail loss is known as Bottom-of-Basket (BoB) theft and remains one of the most overlooked forms of shrink. While it may appear insignificant, the financial impact quickly adds up across multiple stores and thousands of transactions.

What is Bottom-of-Basket Theft?

Bottom-of-Basket theft occurs when products placed underneath a shopping cart are not scanned or paid for at checkout. This can happen at both traditional checkouts and self-checkout lanes.

Common examples include:

• Cases of bottled water
• Soft drink multipacks
• Pet food
• Toilet paper
• Large bags of rice or pet litter
• Other bulky or heavy products

Because these items are located below the customer’s line of sight, they are often forgotten—or deliberately left unscanned.

Honest Mistake or Intentional Theft?

Not every Bottom-of-Basket incident is intentional. Customers sometimes genuinely forget an item, especially during busy shopping trips.

However, retailers also encounter deliberate abuse, where shoppers knowingly leave products underneath the cart in the hope that neither the cashier nor the self-checkout supervisor notices.

Without the right technology, it is almost impossible to distinguish between an innocent oversight and intentional theft.

Why Is It So Difficult to Detect?

Cashiers are expected to work quickly while maintaining a positive customer experience. During busy periods, checking underneath every shopping cart simply isn’t realistic.

At self-checkout, the challenge becomes even greater. One employee often supervises several checkout stations simultaneously, making it difficult to monitor every cart in detail.

As a result, Bottom-of-Basket theft frequently goes unnoticed.

The Hidden Cost of Bottom-of-Basket Theft

One forgotten case of bottled water may not seem significant.

But when similar incidents occur several times per day, across multiple checkout lanes and multiple store locations, the losses become substantial.

Retailers lose not only the value of the unpaid products but also inventory accuracy, valuable staff time, and ultimately profit margins.

How AI Helps Prevent Bottom-of-Basket Theft

Modern retailers increasingly rely on AI-powered checkout monitoring to detect Bottom-of-Basket incidents automatically.

Using existing security cameras, AI can identify products that remain underneath the shopping cart while the customer completes the checkout process.

When an item is detected that has not been scanned, the system immediately alerts the cashier or checkout supervisor. This allows the product to be scanned before the transaction is completed—without disrupting the customer experience.

Unlike manual checks, AI provides consistent monitoring for every transaction throughout the day.

A Smarter Approach to Loss Prevention

Bottom-of-Basket theft is often invisible, but its impact on retail profitability is very real.

By combining intelligent video analytics with real-time alerts, retailers can significantly reduce shrink, improve checkout accuracy, and protect revenue without slowing down operations.

As retail theft continues to evolve, preventing overlooked losses at checkout is becoming an essential part of every modern loss prevention strategy.