Online stores are great at showing products and terrible at the conversation that closes the sale. Conversational commerce brings the floor salesperson online — one who knows the catalogue cold and never has an off day.
Sell by helping, not pushing
The assistant’s job is to understand intent and reduce friction: clarify what the shopper needs, surface the right product, and answer the question standing between them and checkout. Average order value rises as a side effect of being genuinely useful.
Moments that move AOV
- Guided discovery that narrows a huge catalogue to the right few items.
- Relevant bundles and add-ons offered at the moment of intent.
- Instant answers to sizing, compatibility, and returns questions.
Shoppers do not resent a recommendation that fits. They resent one that ignores what they just said.
Personalisation with memory
Tied to the customer profile, the assistant remembers past orders and preferences, so the conversation picks up where it left off — the difference between a helpful regular’s shop and an anonymous vending machine.
Where it goes wrong
- Recommending without listening — generic upsells that ignore the stated need.
- Pushing volume over fit, which raises returns and erodes trust.
- Forgetting the customer between visits, so every conversation starts cold.
Get the fundamentals right — listen, fit, remember — and conversational commerce lifts order value precisely because it stops feeling like selling and starts feeling like help.
