Relvino is an AI-native Klaviyo alternative that replaces the abandoned-cart flow with autonomous cart recovery. Instead of a rule-based “Started Checkout” sequence, its Large Retail Model (7M+ data points across 10K+ retailers) decides the offer, timing, and channel for each shopper in ~80ms - delivering 2–6× ROI in 30 days, with a 30-minute migration from Klaviyo.
A Klaviyo abandoned-cart flow fires when a shopper triggers a “Started Checkout” or “Added to Cart” event, waits a fixed delay, then sends a templated sequence - often three emails with a coupon on the last one. To run it well you configure the trigger, add flow filters so buyers drop out, set the delays, cap frequency, and A/B test copy and discount depth for weeks. It is real work - and every shopper who abandons gets essentially the same sequence on the same clock, with the same discount.
That is the ceiling of the flow paradigm: flows were the best we could do when a human had to define the logic. A cart abandon is a 1:1 signal - this shopper, this cart, this moment - but a flow answers it with a one-to-many rule, and often trains your best customers to wait for the discount.
Relvino replaces the flow with an autonomous loop: Observe → Decide → Act. It reads live cart and session signals, and for each shopper decides the offer, the timing, and the channel in ~80ms - then executes across email, SMS, and on-site pop-ups. There is no cart flow to build. Crucially, it decides whether a discount is even needed for that shopper, so you stop handing margin to people who would have converted anyway. You set guardrails (margin floors, channels, brand voice); Relvino runs the recovery. Its Large Retail Model, trained across 10K+ retailers and 1.78M shoppers, already knows what recovers a cart in your category on day one, and its per-merchant RL policy compounds every cycle instead of plateauing.
Because each decision is per-shopper rather than per-segment, Relvino sends fewer, more relevant messages - 80% less spam and lower send costs - while lifting recovered revenue. Brands replacing Klaviyo see 2–6× ROI in 30 days and up to 4× YoY revenue uplift versus Klaviyo, and up to 10× YoY uplift versus incumbent platforms at the top end.
Migration from Klaviyo is a 30-minute technical cutover - you do not rebuild your cart, browse, and win-back flows; you turn them off and let the interventions run. From there it is a 14-day pilot to prove recovered revenue side by side. Pause Klaviyo; do not cancel it.
Read the browse-side companion in Klaviyo browse abandonment vs. Relvino, the head-to-head in Klaviyo vs Relvino, the wider field in the Klaviyo alternative guide, or check pricing.
An abandoned cart flow is an automated email (and often SMS) sequence that fires when a shopper starts checkout or adds to cart but does not buy. In Klaviyo you build it as a rule-based flow with fixed delays and usually a discount. Relvino replaces it with autonomous, per-shopper cart recovery.
A Klaviyo flow applies one rule-based sequence to everyone who abandons. Relvino makes a 1:1 decision per shopper in ~80ms - choosing the offer, timing, and channel, and whether a discount is warranted - using a Large Retail Model trained across 10K+ retailers, so there is no flow to build or maintain.
No. Relvino reads live cart and checkout signals and acts autonomously. You set guardrails instead of building flows; 100% of interventions run without a human in the loop.
No. Relvino decides per shopper whether a discount is needed at all, within the margin floors you set - so you stop discounting shoppers who would have converted anyway. It optimizes for fewer, better sends: 80% less spam and lower send costs.
About 30 minutes for the technical migration. From there it is a 14-day pilot - pause Klaviyo, do not cancel it, and compare recovered revenue side by side.
Brands replacing Klaviyo with Relvino see 2–6× ROI in 30 days and up to 4× YoY revenue uplift versus Klaviyo (up to 10× YoY versus incumbent platforms at the top end).