Product Recommendations for Ecommerce | Nousu

Product recommendations for ecommerce

Product advice in the same chat that handles your support

Customers who ask questions are close to buying. Nousu answers their support questions and helps them choose, using your live catalog and stock data. No second tool, no separate setup.

Nousu helpdesk with AI conversations for an online store
  • Recommendations based on live catalog, price, and stock data.
  • The agent asks clarifying questions before it suggests anything.
  • Cross-sell and follow-up suggestions inside the conversation, not as popups.
  • Handoff to your team with context when a customer needs more than advice.

The short answer

Product recommendations for ecommerce work best inside the conversation the customer already started. Nousu reads what someone is looking for, matches it against live catalog and stock data, and suggests products that actually fit. The same agent handles order status and returns, so advice and support come from one place.

What this solves

Fewer repeat questions, more grip on your queue

Support that pays for itself

Most stores treat chat as a cost center. When the agent that resolves customer questions can also advise on products, the same conversations start contributing revenue.

  • Product advice in chat
  • Suggestions that fit the question asked
  • One agent for support and sales questions

Grounded in your store data

Generic advice loses trust fast. Nousu draws from your actual catalog, so recommendations reflect what you sell, what it costs today, and what is in stock right now.

  • Live Shopify and WooCommerce data
  • Current prices and stock levels
  • Your product descriptions and policies

You stay in control

You decide how the agent advises and where it stops. Questions that carry risk or need human judgment go to your team with the full conversation attached.

  • Boundaries you define
  • Human handoff with context
  • Review real conversations to improve advice

How it works

From store connection to reliable answers

  1. 01

    Connect your catalog

    Link your Shopify or WooCommerce store. Nousu learns your products, variants, prices, and stock.

  2. 02

    Set the advice rules

    Choose which products the agent can recommend and when it should hand over to your team.

  3. 03

    Learn from real questions

    See what customers ask before they buy and sharpen the advice where it matters.

Frequently asked questions

How do product recommendations in chat work?

A customer describes what they are looking for in their own words. Nousu reads the intent, matches it against your live catalog, and suggests products that fit, with current prices and stock. The customer can ask follow-up questions before they decide.

Does Nousu use my real catalog data?

Yes. Nousu connects to your Shopify or WooCommerce catalog and works with live product, price, and stock data. It will not recommend a product that is out of stock or quote an old price.

Is this a separate product from support automation?

No. It is the same agent. The agent that answers order status and return questions also gives product advice. You do not set up or pay for a second tool.

Can I control what gets recommended?

Yes. You decide which parts of the catalog the agent can draw from and how it should advise. When a question needs human judgment, the conversation goes to your team with full context.

See which questions Nousu can take over

Connect your store, test with real customer questions, and keep control over replies and handoffs.

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