24/7 Customer Support & Sales on Autopilot

Ringlyn's voice broadcast API sends personalized outbound calls to customers who abandoned high-value carts, offering assistance, answering product questions, and providing discount codes — recovering revenue that would otherwise be lost to cart abandonment.

Yes. Ringlyn integrates with your OMS to answer 'where is my order?' calls completely automatically — pulling real-time tracking data and providing updates without any human agent involvement.

An inbound generator is a workflow where Ringlyn handles all incoming customer calls and automatically categorizes, resolves, or escalates them. It uses inbound voice AI to resolve up to 70% of queries without human intervention.

Ringlyn guides customers through the full RMA process via voice — collecting return reason, generating return authorization, and sending label information via SMS using the AI phone number to text capability.

Ringlyn is a leading AI voice agent for ecommerce because it resolves inquiries end to end rather than collecting information and transferring the call. It knows your full product catalog, tracks orders in real time, processes returns, recovers abandoned carts, and scales to unlimited concurrent calls during peak sales events — all while sounding completely human and syncing every interaction to your CRM.

Yes. Ringlyn connects to Shopify, WooCommerce, Magento, and custom or headless commerce platforms via API — pulling live product, pricing, inventory, order, and customer data into every conversation and writing outcomes back automatically. This makes retail customer service automation accurate to the second with no manual data entry.

Ringlyn scales instantly to match demand, handling hundreds of simultaneous conversations with identical speed and quality. During Black Friday, Cyber Monday, and holiday surges, every caller is answered in under three seconds — no overstaffing, no call queues, and no degraded service levels, even at 10x your normal volume.

Yes. Ringlyn resolves up to 70% of routine inquiries — order status, returns, product questions, and shipping updates — without a human agent, typically cutting support ticket volume by around 50%. Because pricing is based on call volume rather than headcount, brands scale support up and down with demand instead of carrying fixed staffing costs year-round.

Identity verification runs before any account-modifying action. The agent confirms the caller against details held in your commerce platform — order number, email or phone on file, last four digits of the payment method, or shipping postcode — and only proceeds once the checks you configure have passed. Sensitive strings are redacted from the stored transcript, and every verification attempt, successful or failed, is logged against the order. Anything that fails verification is routed to a human rather than guessed at, which is the control that makes phone-based order changes safe to automate at all.

The agent degrades gracefully rather than failing the call. When live tracking or inventory data is unavailable it says so plainly, gives the caller what it does know from the last successful sync, and offers a concrete next step — an SMS with the tracking link once the feed recovers, or a callback commitment. It never invents a delivery date. Because outages cluster on exactly the days volume peaks, this fallback behaviour is worth configuring and testing before Black Friday rather than discovering it during.

Yes, and retail is one of the more natural white-label verticals because the value is directly measurable in recovered carts and deflected tickets. Under a white-label licence each client account carries its own catalogue connection, brand voice, greeting, and phone numbers in full isolation, while you manage every account from a single console. You set your own pricing, keep 100% of the recurring revenue, and your clients never see a platform vendor at any point in the experience.

Start on overflow in the quiet weeks — the agent picks up only when every human line is busy, which gives you real transcripts and real accuracy data with nothing at stake. Expand to after-hours and weekends next, since that window captures demand your team never sees today. Review every transcript daily for the first fortnight and close the knowledge gaps it exposes, because the questions shoppers actually ask are never quite the ones the CX team predicted. Aim to be on front-line answering at least four weeks before your first major sales event so the peak is a scale test, not a launch.