The VWAM Shopping Assistant uses your catalog, policies, and brand voice to answer questions, recommend products, and collect leads on your site.

the store that talks back.

Try free See how it works

try it here. this is the real assistant, not a video

Finds the one that fits, then makes the case for it.

Setup

Start with one prompt

Tell VWAM about your brand and what you want the assistant to do. It reads your website, FAQs, policies, and catalog, then drafts the rules and styles the widget to match your brand. You can edit everything it creates.

Finds your site, catalog, and policies from a URL
Drafts recommendation, conversation, and tone rules
Matches the widget to your colors, fonts, and logo
Keeps every generated rule editable

Knowledge

Give it the full picture

Import the catalog you already have, then add or edit products whenever you need to. Upload policy, sizing, and spec documents so the assistant can answer from your own source material.

Import through CSV, product URLs, or Shopify
Add, edit, and organize products into collections
Refresh product page content every week
Use policy, sizing, and spec documents in PDF, CSV, or TXT format
Cite the source material behind an answer

Behavior

Choose exactly what it does

Decide when the assistant should capture a lead, show a product, or hand someone off to support. The same assistant can run as an embed or on a full-screen page.

Add a lead form at the point in the conversation you choose
Show the exact products you want to recommend
Open a ticket in Gorgias, Zendesk, or your inbox when someone needs help
Launch as an on-page embed or a full-screen page on your domain

Data

Keep the leads you collect

Collect contact details during the conversation. Each submission appears in your Leads page and can move into the systems your team already uses.

Collect names and contact details during a conversation
Review submissions, stats, and filters on the Leads page
Export your leads as a CSV whenever you need them
Keep first-party data in your own ecosystem

Personalization

Learn what each shopper cares about

Shoppers naturally mention things like size, interests, budget, and intent. VWAM saves those signals to their profile and sends them to BlueConic and Klaviyo, where your team can use them in existing segments and journeys.

Capture profile properties from the conversation itself
Send them to BlueConic and Klaviyo automatically
Adapt the conversation using what your CDP already knows
Use new first-party signals in your existing segments and journeys

Visibility

See what shoppers are asking

Review the questions shoppers ask, how they use the assistant, and where its answers need attention. You get the full conversations alongside a plain-language view of the trends.