Question 1

What is a virtual shopping assistant?

Accepted Answer

A virtual shopping assistant helps a shopper find the right product through conversation instead of filters, search or a static quiz. The shopper describes a need in their own words and the assistant interprets it, asks a clarifying question if needed, and recommends. The useful ones are grounded in a specific store rather than in general knowledge: Dialog's version is built on your brand's own catalog, tone and sales expertise, and can be trained on the staff training manuals you already use, so it advises the way your best in-store team would.

Question 2

Is there an AI shopping assistant that works for my store?

Accepted Answer

There are many, and the difference between them is mostly what they are connected to and where they are placed. A generic assistant answers from general knowledge and hallucinates your catalog. Dialog's agent reads your live catalog, your real-time stock, your SEO content and any PDF you upload, and it recommends alternatives on the spot if the product a visitor is viewing is not the right fit. Whether it is worth it depends on your catalog: high-consideration, technical or personal categories (beauty, supplements, sport, furniture, electronics) benefit most, while impulse categories benefit least.

Question 3

How is a virtual shopping assistant different from a chatbot?

Accepted Answer

The word covers both, but the two do opposite jobs. A support chatbot handles problems after the fact, sits in the bottom-right corner, and is opened by shoppers who need help with an order. A shopping assistant handles the decision before the purchase and belongs on the product page. The placement changes the numbers: corner widgets see 3 to 5% interaction from the visitors who see them, while Dialog, positioned below the Add to Cart button and pre-sale only, sees 15 to 20%.

Question 4

Can AI actually help someone shop?

Accepted Answer

Yes, measurably, when it is grounded in a real catalog. In the Dialog benchmark of 100 live clients, visitors who interact with the assistant convert several times better than those who do not, with the largest gaps in high-consideration categories such as wellness (11.84% against 1.84%) and jewelry (2.91% against 0.47%). In a controlled A/B test with the brand Karacare, Dialog's guided flow increased revenue per visitor by 14.5% against the static quiz it replaced. Returns move too: Electrotodo went from a 10% return rate to 3%.

Question 5

What happens when the assistant does not know?

Accepted Answer

It says so rather than inventing an answer, and can be configured to redirect the shopper to a contact page, an email address or WhatsApp. For medical-adjacent questions it answers from your product content and adds a disclaimer to consult a specialist. Every unanswered question is logged in the Missing Info dashboard, product by product, which is how you find out what your pages are missing. Brands typically keep that rate below 5% of conversations.

Question 6

Does it work outside my own website?

Accepted Answer

Yes. The same agent that answers on your site is exposed to ChatGPT through MCP, the open standard that lets an assistant delegate part of a conversation to an outside agent. When a ChatGPT user asks for something your catalog answers, the agent replies with your products, rendered as branded cards rather than plain links. It is one agent and one prompt to maintain for both channels. Shiseido and MG Motor France run it today, with Delsey launching.

Question 7

Which languages does it speak?

Accepted Answer

All of them, in practice. Shoppers write in whatever language they are comfortable with and the assistant answers in the language your store is set to, so a single deployment covers every market you ship to. There is no translated script to maintain, because there is no script: each answer is generated from your catalog and your documents.

Question 8

Can it answer questions about health, pregnancy or medication?

Accepted Answer

It answers them carefully rather than avoiding them. The agent replies from what your own product content says, in your tone, and adds a recommendation to consult a professional on anything medically adjacent. It does not diagnose and it does not improvise past your documents. Brands in supplements, pharmacy and cosmetics set that boundary explicitly in the configuration, and every question left unanswered appears in the dashboard so you can decide whether to cover it.

Question 9

What do we actually learn from the conversations?

Accepted Answer

More than most teams expect, because a conversation records declared intent rather than inferred behavior. The dashboard clusters every conversation by theme, which surfaces demand your catalog does not serve yet. One brand launched a tea capsule line after the conversations showed how many people were asking for tea; another saw enough questions about reimbursement to go and obtain the accreditation. Alongside that, the Missing Info report lists product by product what the agent could not answer.

Question 10

Can it hand a conversation over to our team?

Accepted Answer

Yes, with a caveat about how. Dialog is a pre-sale assistant, not a helpdesk, so it does not open tickets by itself. When it cannot answer, or when a shopper marks an answer as unhelpful, you choose where that goes: a contact page, an email address, WhatsApp, or an inbox your support tool already turns into tickets. The point is that an order or delivery question leaves the assistant quickly instead of being answered badly.

Your best salesperson, duplicated.

Ask it anything, anywhere on the store

Your in-store expertise, available on every page

We learn your products

We learn how you sell

We advise everywhere shoppers ask

The advice your best advisor gives

Pre-sale, not support

One agent, on your site and inside ChatGPT

Works with any store

Powerful AI. Real Results.

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