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    AI Automation
    E-commerce and Retail
    A build like this typically runs for six weeks across support, returns, and inventory work.

    REPRESENTATIVE BUILD

    Unify E-commerce Support, Returns, and Inventory Work

    Representative home goods retailer scenario with 800 SKUs, 1,200 monthly orders, seasonal peaks above 3,000 orders, and three support staff.

    The Challenge

    Support staff answer repeated order questions while seasonal ticket volume creates long queues.

    Returns require customer messages, labels, inventory updates, inspections, and refunds across several systems.

    Weekly counts, supplier lead times, and sales data sit in separate views, which weakens reorder decisions.

    Our Approach

    A fixed-scope discovery maps order questions, return policy rules, inventory events, and mandatory staff approvals.

    The support workflow connects to Shopify, ShipStation, carriers, the help desk, and the inventory system.

    Customers receive grounded order answers, while damage, disputes, and policy exceptions route to staff.

    Return steps create labels, update stock after receipt, and prepare approved refunds for the correct control path.

    An evaluation suite tests policy accuracy, escalation, system updates, and failure cases before go-live.

    The client owns the code, prompts, tests, and runbooks. The build has no seat-based price.

    E-commerce Automation Flow

    1

    Order Inquiry

    The system classifies customer questions from email or chat.

    2

    Grounded Response

    Order and policy answers use current system data.

    3

    Return Request

    Policy rules validate each request and prepare a label.

    4

    Inventory Update

    Received items update stock and trigger quality checks.

    5

    Refund Control

    Approved returns enter the required refund control path.

    6

    Reorder Alert

    Sales, stock, and lead-time signals support reorder proposals.

    What This System Changes

    Customers receive order facts from connected source systems.
    Staff review damage, dispute, fraud, and policy exceptions.
    Return events keep support, warehouse, inventory, and refund tasks aligned.
    Reorder proposals show the source signals behind each recommendation.
    Buyers can use their own ticket and order data in the ROI calculator.

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