AI checkout intent · Built for Google UCP
ScaleQ identifies high intent shoppers in real time with AI and ML, then drives them through checkout so more orders complete. Works on everyday checkout and peak events. Runs in shadow first, so you can measure lift in shadow before you activate anything.
The problem
Ready to buy shoppers hit the same one size fits all checkout as everyone else, so real purchase intent leaks into abandonment. And a new class of AI agent shoppers is arriving that most stacks cannot even identify.
The solution
ScaleQ scores every session, human or AI agent, for purchase intent and value in real time with AI and ML. It then fast tracks the highest intent shoppers straight through checkout: a drive through lane to purchase. Everyone else keeps your normal flow, and nothing changes for customers until you activate.
How it works
You send a recent checkout or order export. ScaleQ scores purchase intent. Customers see the same checkout. No app. No pixel for this first test.
Set the drive through threshold per context and traffic profile. Fast track the right share of shoppers on everyday checkout as well as peak events and busy seasons.
Activate when ready. High intent and agent shoppers are driven straight through checkout. Measure the GMV lift against your baseline.
Merchants
A two week shadow test. No live traffic change, no checkout change. You send a checkout or order export. You get a readout: who was ready, where they dropped, leftover GMV in a +3% to +5% band (directional, not a guarantee). Then Go or No Go.
Fast track the right share of shoppers on always on paid traffic and on peak events. Calibrate the band. Do not fail blind.
Counterfactual GMV on instrumented checkout. See the directional lift, then activate one flow or stay in shadow.
Know the mix as Google UCP scales. Route high intent agents on purpose instead of treating them as anonymous traffic.
Checkout stays yours. You remain merchant of record. Nothing changes for customers until you turn a lane on.
first test is a checkout or order file. Scored in shadow. No live change.
pilot leftover GMV on instrumented checkout · directional, not a guarantee · long term target +8–10% with data
a live path for ready buyers, only after you say yes. Peak drive through is a later target, not a live result.
agentic commerce when the cart lands on your checkout. Designed for Google UCP (roadmap). Not a shopping agent.
Figures are directional PoC bands from instrumented shadow readouts, not guarantees.
Ecosystem
ScaleQ is built on Google Cloud and Vertex AI, and designed for the Universal Commerce Protocol. Zazmic is our Google Cloud and Vertex AI technology partner.
Illustration only, not live data. Last mile: when a shopping agent sends a cart to your site, we score that close. We are not a shopping agent.
MVP v0.9.1 stage deployment. Serverless checkout gateway with staged rollout and a kill switch always on.
Online prediction blended with deterministic rules. Scores every session for purchase intent in real time.
Shadow and gateway events land in BigQuery, powering the pilot readouts merchants review before activation.
Architecture workshop and proof of execution (POE) review completed in collaboration with Zazmic, a Google Cloud partner (June 2026).
Founding team
AWFounder & CEO
Nearly two decades across ecommerce and retail, AI driven strategy, M&A, and go to market in the US, Korea, and APAC. Building ScaleQ to help ecommerce recover revenue at the checkout.
Two week shadow trial. No live traffic change, no checkout change.
