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    Retail AI Copilot

    Deploying intelligent assistance for high-volume customer support

    Faster responses and less manual triage
    Client
    Confidential — e-commerce
    Industry
    E-commerce & Retail
    Timeline
    3 months
    Technologies
    7+ tools

    The Challenge

    !

    Support team overwhelmed during peak seasons

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    Inconsistent answers to common questions across channels

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    Knowledge scattered across systems, slowing onboarding

    !

    Need for human review on sensitive or policy-bound topics

    Our Solution

    Deployed domain-tuned LLM assistant grounded in knowledge base and policy documents

    Integrated with the existing ticketing stack for agent-in-the-loop workflows

    Built RAG pipeline with evaluation harnesses for quality and safety checks

    Established MLOps practices for monitoring, versioning, and controlled rollouts

    Measurable Impact

    Handle time

    Improved

    Agents spent less time searching and drafting routine replies

    First response

    Faster

    Customers received answers sooner on common intents

    Escalations

    More targeted

    Complex cases reached specialists with better context

    Quality

    Governed

    Human review gates for high-risk categories

    "We wanted speed without sacrificing accuracy. The copilot gives agents a head start and keeps us honest with review workflows."
    C
    CX leader
    Head of Customer Experience, retail (NDA)

    Technology stack

    OpenAI GPT-4
    LangChain
    Pinecone
    FastAPI
    React
    AWS Lambda
    PostgreSQL

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    Retail AI Copilot | Case Study | SystimaNX