DHL Express has launched an AI-powered item identification feature designed to generate customs-compliant shipment descriptions from a single customer-taken photo.
The company said the tool uses computer vision technology to analyze an image of an item and automatically produce a structured description aligned with international customs documentation requirements. The feature is integrated into the booking process and is intended to reduce manual input, improve data accuracy and speed up customs clearance.
According to DHL Express, customers simply photograph the item they intend to ship using a smartphone or connected device. The system then processes the image via a server-side model, classifies the object and generates a suggested description within seconds. Users can review, edit or override the information before submitting the shipment.
No account is required to use the feature.
The company described the item description step as a long-standing friction point in international shipping, where customers are required to self-declare contents accurately without specialist knowledge. DHL Express said the new tool is designed to remove that complexity.
Dirk Olufs, EVP and global CIO at DHL Express, said, “Computer vision is now live for customers across multiple markets, but what matters most is the impact. Accurate item classification at the point of data entry means cleaner data across the entire shipment lifecycle: fewer holds, faster clearance and a better outcome for the customer.”
Enna Zarate, senior vice president of digital customer solutions at DHL Express, added, “The item description field was not a minor inconvenience – it was a critical moment where the customer experience broke down. This AI feature is a direct response to customer feedback.”
DHL Express said the system represents the first large-scale deployment of computer vision-based item identification integrated into a live international express booking flow.
The feature is currently live in eight markets: Canada, Germany, Hong Kong, the Netherlands, Singapore, South Africa, Spain and the United Arab Emirates. A wider rollout is planned throughout 2026.
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