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Most e-commerce platforms are still “adding AI features.”
Centric Shoppingfeed took a different route: rebuilding commerce operations around AI from the ground up.
The result is Ailice, a compound AI system already running at scale and designed to automate one of the most complex layers of e-commerce: feed management, marketplace execution, and product data orchestration.
Meet Ailice: Three AI Agents, One Mission
Ailice is a multi-agent AI architecture designed to execute, optimize, and scale marketplace operations autonomously.
Three AI agents power the system:
Together, they already generate hundreds of thousands of automated decisions every month. This is our production-ready commerce orchestration.
How does Centric Shoppingfeed expertise become a strength?
One of the strongest insights from Centric Shoppingfeed’s internal data is how expert guidance accelerates AI adoption.
With more than 15 years of marketplace expertise, our teams support brands at every stage of their growth by simplifying operations, optimizing workflows, and helping merchants scale faster through AI-powered execution.
Our teams quickly adapt to new challenges to allow merchants to focus on strategy while we strengthen the operational and marketplace logistics side.
Why Centric Shoppingfeed Built AI for Precision
While many companies rely on generic AI models, Centric Shoppingfeed chose a more strategic approach.
Ailice is powered by XGBoost, a machine learning framework designed for structured marketplace data, taxonomy matching, and large-scale product feed optimization. Because feed management requires precise alignment between categories, attributes, rules, and marketplace requirements.
The result is faster execution, higher accuracy, and more reliable marketplace performance.
But AI should not create more complexity. At Centric Shoppingfeed, AI is designed to simplify operations while keeping humans in control. Instead of black-box automation, the platform focuses on transparency, verification, and intelligent assistance.
This approach already helps support teams manage around 180 tickets per day with a 55-minute SLA, reducing repetitive tasks so teams can focus on strategic merchant growth.
