Zanderio is an AI-powered conversational sales system that transforms online stores into intelligent selling environments. It deploys context-aware AI agents capable of answering queries, recommending products, and converting visitors into buyers without human intervention.
Online stores lose almost half of potential customers due to poor on-site engagement. Traditional chatbots are rule-based and fail to understand customer intent or context,resulting in low conversions and frustrated visitors.
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Zanderio deploys a multi-model AI stack combining naturallanguage understanding, recommendation systems, andintent prediction. The AI detects visitor behavior, hesitation,and buying patterns to deliver the right response at the rightmoment.
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Zanderio was built on a modular AI architecture using LangChain, LangGraph, and LangMem for logic flow and memory management. The system integrates OpenAI and Hugging Face models for conversation and intent detection, with Qdrant handling semantic search and embeddings. Node.js and FastAPI power the backend services, while RabbitMQ, PostgreSQL, MongoDB, and Redis manage data, events, and caching. Deployed through Docker on a multi-tenant SaaS infrastructure, Zanderio ensures scalability, real-time inference, and continuous improvement through LangSmith-based tracking and retraining.
Lab23 Technology designs and deploys AI systems that empower industries to think smarter, automate faster, and operate more efficiently. Our expertise spans reinforcement learning, predictive analytics, computer vision, and intelligent automation across marketplaces, fintech, and enterprise systems.
Zanderio evolves beyond scripted chatbots to become a full-cycle AI sales associate that continuously learns from store activity.
