AI sales assistant for your online store that recommends products and takes orders
The AI sales assistant knows your catalogue, prices and stock. It asks what the shopper needs, suggests a few products, answers delivery questions and places the order right in the chat, on your site or in a messenger.
What hurts
A shopper cannot decide between models and opens the chat. A person replies an hour later, after the shopper has already bought elsewhere. The catalogue is large, and new staff do not know every difference either.
Filters on the site do not answer "what fits my case". People scroll, abandon the cart and leave. You see traffic, but not sales.
Prices and stock change daily. Staff make mistakes, promise items that are gone and then cancel orders. The customer is unhappy, and your marketplace rating suffers.
What we build
- Product feed or store API connection: Shopify, WooCommerce, Horoshop and others
- Product search and recommendations by description, attributes and photo
- Live prices, stock and promotions during the conversation
- Cross sell and alternatives when the item is out of stock
- Delivery options and costs through your carrier’s API
- Order creation in your store or CRM: HubSpot, Pipedrive, Odoo
- Handover to staff for large orders, B2B and unusual requests
- Tests on real shopper questions and checks that the agent never invents products
What you get
- Working AI sales assistant on your site and chosen messengers
- Integration with your catalogue, store and CRM
- Happ dashboard with conversations and a list of orders placed by the agent
- Agent test suite and the latest run report
- Guide for updating sales rules and team training
How we measure the result
- Number and value of orders placed by the agent
- Conversation to order conversion
- Average order value through the agent compared with other orders
- Share of conversations handed over to staff
- Cancellations caused by wrong price or stock information
Systems and stack
Industries
Questions
How much does an AI shopping assistant cost?
From $6,000 per project. Price depends on catalogue size and quality, the number of channels and how complex checkout is. If the feed is incomplete, part of the work is cleaning it. We give a fixed estimate within 2-3 days after discovery. Model tokens are billed separately based on actual usage.
How does the agent know prices and stock?
It reads your product feed or store API. Data refreshes on a schedule or on every request, depending on the platform. So the agent does not offer items that are gone or quote old prices. When data is missing, it says it will check.
Which platforms are supported?
Shopify, WooCommerce, Horoshop and Prom, plus any store with an XML or CSV product feed. Orders go into the store or your CRM: HubSpot, Pipedrive or Odoo. Delivery is calculated through your carrier’s API. Other systems connect through their API, and we include that in the estimate.
What if the agent recommends the wrong product?
The model sometimes picks the wrong item, so the agent only offers products from your catalogue and links to the product page. We test it on your real shopper questions before launch. In the first weeks we review conversations with you and tune the recommendation rules.
How do we measure the result?
Before we start, the success metric goes into the contract, for example orders through the agent or chat conversion. We take data from your CRM and store, not from impressions. Launch goes to part of the traffic first, so you can compare against sales without the agent.
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Describe the task. We reply within one business day, the first call is with the founder.
Describe the task. The first call is with the founder.
We reply within one business day. 30 minutes to tell you whether it is worth doing and what it costs.