BitGN’s Agentic Ecommerce Challenge, featuring COLIBRIX ONE as lead partner, delivers the simulated environment where developers engineer AI agents for payments, fraud, and customer issues at scale.
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Photos from Vienna HQ Hub of BitGN PAC1 Challenge by AIM - AI Impact Mission at AI Factory Austria.
AI agents are ready to take ownership of the entire customer journey from the first request to the final transaction. This competition is your ultimate sandbox for those who want to unlock the full potential of AI in their products and test how it behaves before it hits your live network. The goal is to build AI that doesn't just process requests, but can independently act and solve problems at every stage of the commercial cycle.
The rise of agentic AI marks a fundamental shift in how transactions are initiated, processed, and resolved. This competition is your ultimate sandbox to test how they behave before they hit your live network. Check out all participating countries.
Cities
Participating cities worldwide
Task Trials
Successful sandbox evaluations
Agent Runtimes
Active cloud environments
Agent Interactions
Total agent tool calls
Right now, you have to click through filters and search bars yourself. In a RAG challenge like this, we are testing a future where you can just say:
AI Agentic
Full-cycle
eComm Solutions
Participants build agents to solve tasks that increase in difficulty, directly simulating real-world payment and retail friction points.
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Fraud & Logic Rules
To secure the checkout, agents are designed to prevent logic manipulation, avoiding unauthorized 99% discounts.
Data Integration
For support tasks, agents must locate missing packages using raw warehouse logs to initiate refunds or replacements.
Automated Dispute Resolution
Agents automate post-purchase support by analyzing logs and customer chats to evaluate claims and mitigate chargebacks.
Cross-Border Routing
As a merchant task, agents optimize international flows in real-time, selecting the best acquiring pathways and FX rates.
Credit & Installments
Agents handle checkout tasks by autonomously checking a user’s simulated Credit Score and creating compliant installment offers.
3DS Resolution
Agents navigate complex checkout drops, identifying and resolving Secure Customer Authentication (3DS) issues to secure transactions.
Participants worldwide build AI agents to navigate a simulated "digital company" using business software and tools. You would give the AI agents access to a simulated version of a store (like a mock Shopify or Amazon account). They would need access to three main "drawers" of information:
A database of products, sizes, and stock levels.
Shopping history and preferences (e.g., "This person likes blue" or "This person is allergic to wool").
Rules for returns, shipping costs, and discount codes.
Participants would build agents to solve tasks that get harder as they go:
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Check User Credit Score and make him an installments offer
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Do not allow the AI agent to give a 99% discount.
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Resolve the 3DS checkout issue.
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Find missing package using warehouse data.
Want to participate?
No matter if you are solo engineer or a company, participate and get on top of our leaderboards
At COLIBRIX ONE, we’re a team of innovators reshaping how businesses experience payments. Have a question? Send it through the form below.