Data Points: retail loss prevention facts

Data Point

Self-checkout loss facts 54% of all transactions now pass through self-checkout. Losses increase by 22% in the year following self-checkout implementation. Stores with self-checkout record 33% higher losses. Missed scans

Data Point

Retail losses average 3.12% of sales, exceeding €25bn annually across Europe Waste represents over half of total retail losses, exceeding shrink Low-engagement stores suffer nearly 50% higher total retail losses

Data Point

Fixed self-checkout can increase store losses by as much as 60% Each 1% shift to self-checkout adds at least one basis-point loss Non-scanning accounts for nearly 10% of total store

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Visible security deters opportunistic thieves, but rarely stops professional offenders Replacing visible tags with hidden tags increased shrink by 251% Safer cases cut shrink by 53% and increase sales CCTV

Data Point

One-third of global food production is lost or wasted annually 0.5-point waste reduction can increase profits by 17% Chasing higher on-shelf availability causes food waste to rise sharply Adding one

Data Point

Self-checkout now processes most transactions across grocery retail worldwide Self-checkout contributes up to 23% of total unknown retail losses Two-thirds of retailers say self-checkout losses are increasing Each shift toward

Data Point

Online return rates are two to three times higher than in-store Free returns boost spending dramatically, while paid returns sharply reduce loyalty Two-thirds of online shoppers now expect free, no-cost

Data Point

RFID increases sales by up to 5.5% by improving availability RFID adoption generates between €1.4bn and €5.2bn additional sales Inventory accuracy improves from roughly 70% to up to 99% RFID

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Many supervisors manage seven or more self-checkout machines alone Two-thirds of supervisors say they can’t cope with the workload at busy times A third of supervisors face violence or abuse

Data Point

Global online fraud hits €40bn, with non-delivery claims driving losses Retailers lose 3.6% of e-commerce revenue across intentional and accidental risks 3.1% of all orders become chargebacks, obscuring broader e-commerce

Data Point

A 10% rise in loss volumes increases shrink by 20bps A 10% fall in sales increases shrink by 22bps Combined 10% sales fall and rise in loss increases shrink by

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Self-checkout drives 23% of losses, with usage surging toward 100%. Violent retail incidents doubled during COVID and remain high. Just 10% of offenders account for two-thirds of retail crime losses.

Data Point

Video analytics adoption is just 10%, but set to grow 77% Nearly half of retailers plan non-scan analytics to cut self-checkout loss Shopfloor analytics see minimal use today but 295%

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There’s no shared definition of food waste across 19 global retailers Bananas, berries and meat top global rankings for wasted products Regulatory differences are huge, with fines up to €1,000

Data Point

QR codes can automate expiry checks and eliminate costly manual routines. Why check 100% of items when only 5% need attention? Only 5% of products need checking, yet stores inspect

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Retailers detect only 1.6-2% of internal theft incidents Employees may account for up to half of all retail theft value Targeted staff communications can cut shrink by 15-78% High staff

Data Point

• 1.8% of sales revenue is lost to the hidden costs of unsold food • Staff spend 1,997 minutes per 1,000 SKUs, just checking expiry dates • Unexplained losses alone