Liquid's customized, multimodal AI models power semantic search, on-site agents, and merchant copilots with nearly instant response times, so your sites convert more customers.
AI has the potential to transform how we discover, compare, and purchase online. But only if it actually improves the customer experience—without creating new vulnerabilities.
Retailers face four core challenges when adopting AI:
When outdated keyword search meets natural-language or visual intent, the results are often disappointing—and disappointment costs sales.
A chatbot that can't access discovery, checkout, and support is just a fancy-looking search bar that frustrates customers.
Frontier models can eat up budget faster than they increase conversion rates.
Catalog data, credit card numbers, and customers' personal details are far more vulnerable when they enter the cloud.
Custom AI that understands natural language, image queries, and structured filters, then calls your APIs to surface the right products in real time. And it works across web, app, and chat.
Agentic SLMs wired into your storefront APIs (cart, checkout, subscriptions, order status) can do a lot more than answer FAQs. With these connections, your assistants can guide customers, configure pages, and complete the purchase journey.
Trained on your analytics, campaigns, and catalog, custom brand-side SLMs can summarize performance, suggest actions to your team, and generate merchandising changes.
An online shopping experience that brings in-person levels of attention, personalization, and immediacy.
Liquid SLMs make it possible, without sacrificing security or driving up costs.
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