Answer Product Questions Before Shoppers Leave

On an online store, the visitor is often already on the product. They are not looking for a helpdesk. They need enough confidence to add to cart—or they bounce.

WebsiteChat answers from published product copy and policies. It does not complete checkout and it does not read live inventory.

The last question on the product page

Specs are on the page. Shoppers still need those specs applied to a use case: a laptop size, a gift, a ship-to country.

  • Will this fit a 13-inch laptop?
  • Which size should I choose?
  • What's the difference between these two products?
  • How long does shipping take?
  • Can I return this item?
  • Do you ship internationally?
  • Is gift wrapping available?
  • Which model would be better for my use case?

Most people will not hunt a FAQ, open a ticket, or wait on email for that one detail. If chat can use what you already published, the purchase path stays on the same URL.

Product understanding

Dimensions, materials, compatibility notes, and “who it’s for” copy are enough for a useful reply. If capacity is not written down, the assistant should not guess.

Comparison from pages you actually have

When two SKUs sit in the same collection and the site explains how they differ, chat can line those differences up. It should not invent a “best” product from thin air.

Shipping, returns, payment, warranty

These questions close carts as often as fit does. Pull them from the policy pages—not from a memorized generic store script.

WC Store

Will this backpack fit a 15-inch laptop?

The product page lists the laptop sleeve for devices up to 13 inches. For a 15-inch laptop this model is likely too small. The same collection has a larger pack with a wider sleeve. I can compare the published specs if you want.

Yes—and can I return it if the size is still wrong?

The larger model lists a sleeve for 15-inch devices. Returns follow the store policy: unused items within the stated window. Checkout stays on the product page. I can send you there when you are ready.

Open the product page

メッセージを入力… 送信

What to crawl on a store

  • Product pages
  • Size guides
  • Shipping policy
  • Returns policy
  • Payment information
  • Warranty
  • FAQ
  • Promotion pages

Admin stock counts and order records are out of scope.

Useful outcomes

Send the shopper back to the right product page, keep them moving toward a purchase, or leave a product inquiry when the policy page cannot answer. Completing the purchase in chat is not a WebsiteChat feature.

Comparing models is close to AI Sales. Shipping and returns repeats are FAQ work. Damaged orders and account issues belong with customer support.

When a person should take over

  • Stock or ship dates that are not on the page
  • One-off discounts
  • Order changes, missing items, payment failures

Store setup questions

Can WebsiteChat see live inventory or finish checkout?
No. It answers from published product and policy pages. It does not read warehouse stock or complete a purchase in the chat window.
Can it pick a size for the shopper?
It can walk through a size guide or product specs that you already publish. Final fit still belongs to the shopper or your store team.
What if shipping times are not on the site?
The assistant should say the information is not published and point to contact or the policy page—not invent a delivery date.

Add AI chat to your online store

Connect product and policy pages. Test the questions that appear right before add-to-cart.