How Smartsupp Mira AI Works as a Shopping Assistant

Updated

Smartsupp Mira AI is an AI shopping assistant that learns your business from your product feed, your website content, and your FAQs, then uses that knowledge to recommend products, answer common and technical questions, and hand conversations to a human when needed. It fits online stores that already have a live chat widget and want automated coverage outside working hours or during high chat volume. The details below come from Smartsupp's own product pages; specific setup menus and plan limits should be confirmed in your account or with Smartsupp before you commit.

What Mira AI is designed to do

Smartsupp positions Mira as "your own shopping assistant that learns your business and improves customer satisfaction by providing instant assistance, product recommendation, support and advice." The listed capabilities are:

  • Recommend products and services based on what it has learned about your catalog
  • Answer up to 80% of common and technical questions (Smartsupp's own figure)
  • Adopt a customizable identity, tone, and brand voice
  • Hand over to a human operator through a configurable handover
  • Keep learning through web scraping, FAQs, and your product feed

This sits alongside Smartsupp's other tools — Live Chat, Chatbots, Lead Generation, and AI Engage — so Mira is best understood as the AI layer on top of a chat operation, not a standalone storefront bot.

How it learns your business

Mira's knowledge comes from three inputs, and each one maps to a different kind of question:

Input What it teaches Mira Typical questions it covers
Product feed Your catalog: items, attributes, availability as provided in the feed "Do you have this in another size?" "Which of these two should I pick?"
Web scraping Your site's public content — policies, descriptions, brand context "What's your return window?" "Do you ship to my country?"
FAQs Curated answers you supply Recurring support and technical questions

Because learning is continuous, updating the feed or FAQ entries is the main lever for changing what Mira says. If an answer is wrong, the fix is usually in the source material, not in the chat itself.

The customer conversation flow

  1. A visitor opens the chat widget. Smartsupp's widget supports live chatting, chatbot flows, visitor engagement, and lead generation, and is customizable.
  2. Mira responds using its learned catalog and FAQ knowledge — recommending products, answering questions, or offering advice.
  3. If the question exceeds Mira's knowledge or the visitor asks for a person, the configurable handover passes the conversation to a human agent, who sees the context.
  4. The conversation can convert. Smartsupp cites that every fifth conversation ends with a purchase and that order value rose 30% for customers who used chat — vendor-reported figures worth treating as directional rather than guaranteed.

Setting the brand voice

Mira's identity, tone, and brand voice are configurable, which matters for stores where the assistant is customer-facing. Decide the persona before launch — for example, a formal tone for a B2B parts supplier versus a casual one for a fashion store — and keep FAQ answers written in that same voice so the assistant doesn't shift register mid-conversation.

Where it fits in a store's workflow

Mira is most useful in three situations:

  • After hours, when no agent is online but visitors still ask pre-purchase questions.
  • High-volume periods, where it deflects repetitive questions so agents handle complex cases.
  • Product discovery, where shoppers need a recommendation rather than a support ticket.

It is less suited to questions that depend on order-specific data or account details unless those are covered by your FAQ or handover process. When evaluating it, test it against your ten most common customer questions and your ten most common product-choice questions, and check how cleanly the handover behaves. For pricing and plan availability, see Smartsupp's pricing page rather than assuming any tier includes Mira.