Customer Recommenders

    Intelligent Product Guidance Powered by Your Data

    01 / What We Build

    What We Build

    Our custom AI recommender systems go beyond generic chatbots. We build intelligent agents using Python, LangChain, and n8n that understand your products, your customers, and your business logic.

    By integrating directly with your tech stack, whether it's Airtable, Shopify, WooCommerce, or your custom ERP, we create recommenders that provide accurate, context-aware guidance based on real-time data.

    Our systems use vector databases for semantic understanding and PostgreSQL for managing complex product relationships, ensuring recommendations are both intelligent and deterministic: no hallucinations, just reliable results.

    02 / Key Features

    Key Features

    Custom logic-based recommendations
    Multi-platform integration (Shopify, WooCommerce, Airtable)
    Vector database for semantic search
    PostgreSQL for complex data relationships
    Zero hallucinations with deterministic logic
    Real-time inventory and pricing sync

    03 / The Stack

    Technology Stack

    Python & LangChain

    Agent orchestration and tool calling

    n8n Workflows

    Automated data pipelines

    Vector Databases

    Semantic product matching

    PostgreSQL

    Complex product and pricing relationships

    CRM Integration

    Customer data synced both ways

    E-commerce Platforms

    Direct catalogue connection

    Ready to Build Your Recommender?

    Let's scope a recommender built on your catalogue, your rules, and your live data, and put a number on what it does for conversion.