A voice assistant for an online store needs a clear connection between the conversation, the catalogue and the purchase workflow. A shopper can describe what they need in ordinary language, but the system still has to work with actual products and make the next step clear.
In Slivo, I built a voice commerce system around Retell AI and WooCommerce. The engineering covers the conversation integration, product data, visual selection and the SaaS backend that manages stores, usage and billing.
Keep product information connected to the store
The catalogue belongs to the merchant’s commerce system. Slivo synchronizes WooCommerce product data into a store-scoped catalogue for search. The order workflow queries WooCommerce again to check current prices and availability.
This boundary matters when planning an integration. The team needs to decide where product information comes from, how it is refreshed, which actions the assistant can request and how those actions connect to the existing store. Those decisions shape the backend as much as the conversation design.
Give the shopper a visual way to choose
Slivo pairs the voice conversation with on-screen product cards and order controls. The shopper can inspect the options while the assistant guides the conversation.
For a purchase involving several specifications or alternatives, that interface gives the user a concrete way to review the selection. Designing the voice interaction and the visual surface together makes the full workflow easier to understand.
Keep the WooCommerce adapter focused
I kept the WooCommerce adapter focused on connecting the storefront to the service. The SaaS backend holds the shared product responsibilities: store isolation, voice configuration, usage accounting and billing.
That separation gives each part a clear role. The adapter connects the storefront to the service, while the backend manages the shared product workflows. It also gives the implementation a more explicit boundary between merchant data and service configuration.
Evaluate the whole workflow
For a similar project, I would define the intended path before choosing the details of the agent: what the shopper asks, which data is retrieved, what appears on screen and what completes the handoff to the order flow.
I would then check scenarios such as an unavailable product, missing information or a repeated action. These are recommended checks for a voice commerce project; this article does not present a new benchmark or measured test result.
Planning your voice AI integration
Start with the task you want the system to handle and the business software it needs to connect to. From there, define the interaction, the data boundaries and the actions that require user confirmation.
My work on Slivo brings those pieces together: voice, commerce data, a visual interface and a SaaS backend. If you need a voice AI integration or an AI product built around your existing systems, send me your project brief.
Explore the implementation
See the Slivo project and my Retell AI development service. For provider selection and broader use cases, explore voice AI development.
Platform references: Retell AI documentation and WooCommerce REST API documentation.