The problem to solve
The shop needs to incorporate age verification into checkout and receive its result. Different verification methods have different integration requirements.
AgeCheck / Age verification · ecommerce integration
Age verification within the checkout flow. The shop receives the result automatically and can use it to continue processing the order.
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Enlarge preview ⤢Scope of our work
The shop needs to incorporate age verification into checkout and receive its result. Different verification methods have different integration requirements.
We built a shared verification workflow, an embeddable component and an integration interface. The result is sent back to the shop automatically, where it informs the next order steps.
The shop can use the verification result within its checkout process. One integration supports different verification methods according to the service configuration.
For document scans, a vision model transcribes the machine-readable zone (MRZ). The implementation supports Anthropic Claude, OpenAI or Amazon Bedrock according to configuration, with Tesseract OCR as a fallback. Application logic then checks dates and check digits. A signed webhook delivers the result to the shop.
How the work moves forward
A simplified overview of the application workflow.
Let’s find a useful starting point
Describe one task and the tools you use. A few sentences are enough to start the conversation.
Project calls are in English. We can translate written materials.
Tanduva is operated by vinireto s.r.o. · Company ID 23101717