Every morning, a set of AI agents finds the opportunity, builds the campaign, and hands it to you where you already work. You just say yes.
Brands on LTV.ai see a 22% lift on email revenue, measured against a holdout.
Apparel moves on drops, restocks, and a relentless seasonal calendar, and the window to sell any given style is short. Sizes and fits sell through unevenly, so one email pushes sold-out variants to some shoppers and full size runs to others, while returns quietly eat into revenue you already booked. Your team can only hand-build so many campaigns before the next launch is already on top of you.
The loop runs every day: a set of AI agents reads your catalog, sales, inventory, and calendar, builds the next campaign, and routes it to you for approval where you already work.
A set of AI agents spots the empty stretch between your spring drop and the next launch, then builds a transitional-layering edit around styles already in stock. The gap on the calendar turns into a send instead of silence.
When a competitor drops a linen shirt to their list, a set of AI agents builds your on-brand version from your own warm-weather styles and gets it in front of shoppers before the trend cools.
A shopper bought the jacket but skipped the trousers that finish the look. A set of AI agents builds a follow-up showing the rest of the outfit in their size, and fires a back-in-stock note the moment a waitlisted style returns.
New arrivals go out at full price to your core, while a slow-moving color sits in the warehouse. A set of AI agents routes a targeted markdown on that color to the price-sensitive segment only, so you clear stock and protect margin.
The lift is measured against a holdout group, so you see the incremental revenue the agents actually added, not credit borrowed from sends you would have made anyway.
One connection, no engineering work, nothing to rebuild.
They learn your brand, your products, and who buys what.
You say yes, edit, or skip. Nothing sends until you do.
Yes. A set of AI agents watches your catalog and inventory, so a restock or a new drop becomes a campaign the same day, with waitlisted shoppers notified first.
It builds audiences from purchase and browse history, so a style reaches the shoppers whose sizes are in stock and skips the ones it has already sold out for. Nobody gets an email for a variant they cannot buy.
Returns are read as a signal, not ignored. A set of AI agents adjusts follow-ups and size guidance for shoppers with a return history, so the next campaign leans on the fits they tend to keep.
Every campaign is built from your own product imagery, lookbooks, and brand rules, so a spring editorial and a winter drop both read as your label rather than a template.
When a waitlisted or low-stock style returns, a set of AI agents builds the back-in-stock campaign and prioritizes the shoppers who raised their hand, before the restock sells through again.
No. Nothing sends until you approve it. The agents propose the next campaign where you already work, with the audience, timing, and projected revenue, and you say yes, edit, or skip.
Live in about 15 minutes. No engineers needed.
