Retail is one of the most exposed sector to AI Generated Images.
The challenge is scale. In high volume retail and postal environments, the cost of investigating individual low value claims frequently exceeds the cost of paying them out. This creates an incentive structure where fraudulent or exaggerated claims can slip through undetected, particularly when supporting evidence is limited to customer submitted images.
Retail & Delivery services face risk of increased volumes of fraud with AI.
Retailers and parcel delivery providers process millions of claims each year relating to damaged, broken or missing goods.
From cracked televisions and broken vases to lost electronics and damaged household items, these claims are often resolved quickly to meet customer service expectations and protect brand reputation.
As image editing tools and AI generated content become more accessible, the risk profile of these claims is changing. A convincing image of a cracked screen or broken ceramic item can now be created or altered without the physical damage ever occurring. In some cases, genuine product images are reused or subtly edited to simulate breakage. In others, synthetic images are generated that appear consistent with typical transit damage.
For retailers, the pressure to resolve claims quickly is significant. Customer expectations around refunds and replacements are high, particularly in online retail where competition is strong and negative experiences are amplified through reviews and social platforms. For parcel carriers and postal services, similar pressures apply, with service level agreements and compensation frameworks designed to prioritise resolution speed.
This environment makes retail and postal claims an attractive target for opportunistic fraud. Claims relating to fragile items such as glassware, ceramics, electronics and televisions are especially vulnerable. A broken vase, a cracked TV screen or damaged packaging can be difficult to assess remotely, yet costly to repeatedly refund at scale.
Humanly’s Retail and Postal Claims Fraud service is designed to support organisations operating in these conditions. It analyses customer submitted images to identify indicators of manipulation, editing or AI generation. This allows claims teams to introduce a proportional level of assurance without disrupting customer experience.
Rather than treating every claim as suspicious, Humanly helps identify higher risk submissions that may warrant further review. This enables retailers and delivery providers to maintain fast resolution for legitimate claims while applying additional scrutiny only where signals suggest increased risk.
The service is particularly valuable in environments where claims volumes are high and margins are tight. By improving confidence in digital evidence, organisations can reduce avoidable payouts, discourage repeat abuse and protect honest customers from the downstream effects of rising costs and stricter claims policies.
Importantly, Humanly does not replace customer service teams or existing claims processes. It acts as an additional decision support tool, helping organisations balance customer satisfaction with fraud prevention as AI generated content becomes more prevalent.
As retail and delivery ecosystems continue to digitise, and as customer submitted evidence remains central to claims handling, verifying what is real will become increasingly important. Humanly supports retailers and postal providers in adapting to this shift without compromising service standards.
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