Predict the Perfect Moment
to Drive Repeat Purchases
Stop guessing when customers need to reorder. Replenit's AI analyzes individual consumption patterns to trigger reminders at the exact moment they're ready to buy again.
Sarah Mitchell
The Signal
Olaplex No.4 depletion predicted within 24 hours
Consumption pattern analysis shows 10.2 ml/day usage on a 250 ml bottle, placing this customer at depletion tomorrow. With high routine dependence and zero friction history, this is a high-probability reorder window that closes fast.
Olaplex No.4 Bond Shampoo
$28.00Why This Customer, Why Now
Depletion in <24 hrs at 10.2 ml/day on 250 ml bottle
34%High routine dependence, zero friction reorder history
28%No promo needed, 91% organic reorder probability
19%Proven at Scale
Why Replenishment Matters
Poor timing is silently killing your repeat purchase revenue.
of consumers are purchasing from the same brand for their replenishables
cheaper to retain a customer than acquire a new one
of repeat revenue lost due to poor timing
average basket size increase with timely reminders
The Problem With "One Size Fits All"
Your customers aren't identicalSo why treat them that way?
Every customer runs out at a different pace. Same product, wildly different timing. Generic "30-day" reminders? That's leaving money on the table.
These are just 4 out of millions of unique behavioral patterns. No rules, no guesswork — AI that understands each individual.
How It Works
Detect. Reason. Act.
Three steps, fully autonomous, delivered through your existing stack.
She's running out.
Based on her unique consumption speed, she'll need to reorder tomorrow. Not a guess — a prediction built from her behavior.
Is now the right time?
The engine weighs signals and builds a confidence score before acting.
Delivered via your stack.
Decision pushed to your existing ESP or CDP. Zero migration. Zero new tools.
Comparison
Traditional Timing vs. Replenit
See the difference between rule-based timing and AI-powered decisions.
Replenishment Success Stories
See how leading brands are transforming their repeat revenue with predictive replenishment.
Mumzworld achieved exceptional ROI by leveraging predictive replenishment timing for baby essentials.
L'Occitane transformed post-purchase engagement with perfectly-timed replenishment reminders.
Faith In Nature drives significant revenue through automated replenishment flows.
Your Data. Your Stack. Live in 14 Days.
The Replenishment Agent works directly on your existing stack. No migration, no rearchitecting.
Autonomous Production in 14 Days
Go from kickoff to a live, revenue-generating decision engine in just two weeks.
Plug & Play Integration
Native connectors sync your customer, product, and order data instantly without rearchitecting your stack.
Total Control & Guardrails
You define the commercial rules and agent guardrails. The AI runs autonomously, but always respects your boundaries.
Stop Losing Revenue You Can Recover
Join leading brands using Replenit's Replenishment Agent to recover lost repeat purchases and maximize customer lifetime value.
Trusted by Industry Leaders
Customer Lifecycle Moments
Explore how Replenit's AI agents optimize every stage of the customer journey