The retail AI agent that turns browsing into revenue

Yes. Algomo reads availability from the same source your product pages do, so it sees stock by size and colour as it is right now. If your site can show it, the agent can check it, and the answer reflects the shopper's own prices, availability and region where your store varies them.

Yes. It works in the shopper's own session, so it quotes the price that shopper would see: their region, their currency, their dates.

No. It sells from the live catalogue already on your site, through your site's own endpoints. No feed, no nightly export, nothing to keep in sync.

Yes, in the visitor's own session. Algomo uses the same cart endpoint your Add to bag button calls, so the item lands in the shopper's real basket at the price their checkout will charge, and checkout continues as normal. You decide, in plain language, whether it may do this on its own or only when asked.

It can apply a code you have given it, against your own rules. Inventing discounts or stacking codes stays out of bounds.

No. It hands the shopper to your own checkout, and anything that charges a card stays out of bounds. Checkout stays yours, and so does the sale.

Where we have set up your order system with you, a where-is-my-order runs a real lookup: the shopper hears where the order actually is and your team never sees the ticket. Before that connection is made, it gathers the order details and hands the question to your team with everything attached.

Issuing the refund stays with a person. Algomo gathers the details, explains your published policy, and hands the case to your team with the conversation attached, so the shopper never explains twice.

It hands over to your team with the conversation so far and the work it already did attached, so nothing lands cold and the shopper does not repeat themselves.

You give it your URL. It reads your site the way a shopper would, finds the APIs behind your product pages, and sets itself up from them. Delivery and returns answers come from the policies you have published, so there is nothing to re-enter and nothing to keep in sync by hand.

It narrows a vague request down to what is genuinely in stock: that size, that colour, right now. Because it answers from your own catalogue rather than a guess, what it suggests is always something the shopper can actually buy.

No. Conversations belong to you. We act on your instructions, for your purposes, and your customers' conversations are never used to train models.

Yes. It discovers what a Shopify storefront already exposes: the catalogue, stock and the real cart. WooCommerce and commercetools work the same way, and so do custom storefronts, because discovery starts from your pages rather than a plugin list.

A watchdog watches every connection. When a redesign moves an endpoint the agent depends on, it notices, rescans and rebuilds the part that broke. You hear about it after the fix, not from a customer.

Yes. It answers every conversation at once, and traffic never bills you: only a renewal does, and you decide whether one happens. So the spike itself never raises the bill.

Yes, by telling it. A new promotion, a changed returns window, a rule about discount codes: say it in plain language and the next conversation follows it. Ask it what changed this week and it will tell you, with the call behind any answer you want to check.

Minutes, because Algomo finds the endpoints your store's pages already call and builds its own tools to use them. You can try it against your live data before a visitor ever does. Anything a signed-in customer can already see on your site, the agent reads in their own session. Anything only your staff can reach, we connect with you.

You pick a monthly amount and it buys credits: a conversation that actually helped someone costs five, one that went nowhere costs nothing, and the amount is the most any one charge can be, so growing traffic alone never raises the bill. There is no overage: run out early and you renew early, or wait for the month to turn. Every number is on this site's pricing page.