AI systems that move ecommerce numbers.
We turn AI into revenue lift and operational leverage — lower CAC, higher conversion, stronger retention, less manual work.
Audit credited in full toward implementation.
Illustrative target model after audit prioritization.
Judgment first. Build second. Numbers always.
AI is not the strategy. Knowing where it pays — in your funnel, your support queue, your retention curve — is. That judgment is what you’re hiring.
Most brands do not need more tools. They need sharper AI bets.
AI Opportunity Audit.
Two weeks. Clear priorities. Credited toward implementation.
One disciplined loop.
Diagnose the gap, prioritize by impact, build the system, measure the result.
Diagnose
Find the highest-leverage AI use cases.
Prioritize
Rank by ROI, effort, and confidence.
Build
Ship working systems with human judgment.
Measure
Report against the targets monthly.
Where AI moves the number.
Scope is set after the audit. These are the levers where AI reliably moves the number in DTC — and the directional ranges to expect when it’s done right.
Lower CAC, better signal
Reduce wasted spend by identifying which creative, channel, and audience signals actually predict LTV — not just clicks.
Fix where buyers drop
Mine support tickets, search queries, and session data to find the friction costing you conversion — then build targeted fixes.
Predict and reduce churn
Identify at-risk customers before they leave using purchase behavior, engagement signals, and lifecycle triggers.
Automate the repetitive
Route, classify, and resolve high-volume support tickets automatically — freeing your team for work that actually needs a human.
Ranges are directional industry patterns, not client claims — your baseline gets set in the audit.
Find your AI edge.
A 30-minute call. We’ll name two or three AI opportunities we already see in your brand — then you decide if the $999 audit is the right next step. No deck, no pitch marathon.