Every counter, every channel

    Conversational AI for retail built for showrooms, not for banks.

    Most conversational AI was designed for password resets and policy lookups. Your customer wants to know if the gray one is in stock and whether someone can help them Saturday at eleven.

    Retail questions are physical questions

    Enterprise conversational AI grew up inside banks, telecoms and insurers, where the answers live in one system and the goal is to close a ticket. Retail is not that. Retail answers involve a physical object in a physical building on a specific afternoon.

    Is it in stock at this location? Will it fit? When can it be delivered? Can I see it today? Those questions require product data, store data and schedule data at the same time — which is exactly what a ticket-closing bot was never built to hold.

    Grounded in stock, staff and schedule

    AiPRL is built for the counter. It answers from your live catalog and your real availability, books the appointment on your calendar, and routes the conversation to the department that owns it — sales, service or delivery.

    It is the same answering layer on web chat, SMS, social and voice, so a customer who asks in a DM and follows up by phone gets one consistent answer about one real object in one real store.

    What we have measured

    73% — Of conversations handled with zero staff (7-showroom retailer) (measured · furniture retailer, Aug 13 – Oct 27, 2026)
    177 — Service visits a month booked by the AI for one car dealership: about $22,000 of service work a month at the dealership's own $125 average visit (estimate) (measured · one dealership, 30 days to Oct 27, 2026)
    95% — Of scored calls ended neutral or positive (measured · paratransit agency, Aug 3 – Oct 27, 2026)

    These figures come from live retail, automotive and transit deployments. Each one is printed with the window it was measured in, and none of them are extrapolated.

    How you get there

    1. 01

      Book a demo

      Bring your hardest stock-and-schedule question. We will answer it live.

    2. 02

      We ground it in your store

      Catalog, locations, hours, staff calendars and the way you actually take appointments.

    3. 03

      You run every channel on it

      One answering layer, one inbox, sentiment on every conversation.

    If this works

    • Stock and fit questions get real answers instead of "let me check".
    • Saturday appointments book themselves at ten on Friday night.
    • Every channel says the same thing about the same product.

    If it does not

    • A generic assistant answers around the question and loses the shopper.
    • Appointment requests become callbacks that never happen.
    • Your floor team keeps doing lookups instead of selling.

    Questions buyers ask

    See what your unanswered channels are costing you.

    Book a 30-minute walkthrough, or see AiPRL answer for your business first — we’ll build a free assistant from your website.