AI agents now research, compare and buy for your customers, and they quietly fail on websites built for humans. Parlox shows you where they break, helps them through, and proves the revenue.
From your side, almost nothing happened.
“Find me a four-person outdoor sauna under $8,000 that can be delivered to Austin within three weeks.”
Parlox recognizes the visitor as an AI agent and rebuilds what it did: the product page, the warranty, the shipping policy.
Your delivery calendar can’t be operated by software. Parlox flags the exact step, why it failed, and how often it happens.
The delivery date picker can’t be operated by software.
To confirm “within three weeks”, the agent has to type a ZIP, choose an address from autocomplete, then pick a date in a calendar widget. It gives up at the calendar, before a cart exists, so your platform never records an abandoned checkout.
127 journeys failed here this month · 26% of agents who reached this step
Instead of fighting the calendar, the agent receives structured facts it can trust: in stock, $390 to 78701, arrives October 11–15.
The order is tied back to the agent and to the recovery. $7,450 that would have disappeared now shows up as revenue.
The conversion infrastructure for AI commerce, from the first agent visit to the order it turned into.
Readiness audit. Competitors show delivery estimates on the product page. Yours hides them behind a shipping calculator.
A structured layer for inventory, shipping, warranty and delivery, so agents don’t have to fight your human interface. Offers only ever follow your rules.
| Date | Agent sales | Recovered by Parlox |
|---|---|---|
| Sep 7 | $61,360 | $4,586 |
| Sep 14 | $143,941 | $14,022 |
| Sep 21 | $247,996 | $30,056 |
| Sep 28 | $373,483 | $54,413 |
| Sep 30 | $412,600 | $63,000 |
Custom, headless and enterprise commerce. Your team runs one command; agents show up in Parlox.
Set your own numbers. Even a small share of agent journeys, recovered, pays for itself.
1,000 × 25% × 8% = 20 orders × $600
Example based on a $20M/year store. Not a forecast.
Parlox is not:
“Does our checkout work on mobile?”
A new kind of visitor needed its own funnel. Measuring it, then optimizing for it, became normal.
“Does our checkout work for agents?”
This time the visitor isn’t deciding not to click your button. It may be software that can’t click it.