The Brain Behind
Retention|
Retailers don't lose revenue because they lack channels or campaigns. They lose it because no system decides the right product, timing, and action for each customer.
Hyper-Individualized Modeling
Every customer is Unique.
Static or segment-based automations push the same "30-day" or "45-day" logic to everyone, even though each customer moves through the lifecycle differently and reacts to moments in their own way. Replenit learns individual timing, promotion sensitivity, and product-level churn signals so decisions are genuinely 1:1 and always context-correct.
Explore capabilityPredictive Autopilot
Millions of individualized journeys created automatically.
No team can manually build journeys for every timing window, product context, and lifecycle path. Replenit generates and updates millions of micro-journeys automatically and activates them through your existing martech. It works like an always-on team designing the perfect path for every customer.
Explore capabilityData Sources
Channels
AI Engine
The Missing Piece
The AI decision engine that completes your stack.
Replenit sits between your data and your engagement tools and turns raw signals into decisions about who to engage, when to act, and which moment or product to use. It becomes the decision layer your stack has been missing, guiding your existing systems with precision.
Explore capabilityWhat Happens When Replenit Runs
Watch Maestro Think in Real-Time
Every purchase, every signal, every decision — orchestrated automatically for maximum lifetime value.
Activity Timeline
AI Reasoning
This is what happens behind the scenes for every single customer, automatically.
See How It Works For Your BusinessWhat Replenit Does Differently in Every Customer Moment.
Scroll to explore how Replenit transforms raw data into perfect customer moments.
Maestro
AI Decision Engine
Manual journeys, segments, and rules that depend on static data and human setup. If data is missing, the personalization breaks.
Maestro learns from every customer–product interaction and generates synthetic behavioural patterns to fill data gaps. It understands how each product is used and how each customer behaves, then decides who to target, when to act, what to show, and when to stay silent.
A continuously adapting engine that manages each customer as if they had their own AI CRM manager.
Replenishment
Predictive Timing
Fixed delays such as "send after thirty days" and the same timing for everyone.
Replenit predicts each customer's consumption speed for every product and triggers the moment at the exact time they are likely to run out with no batching and no generic windows.
Precise timing, higher repeat purchases, and no wasted sends.
Cross-Sell
Smart Pairing & Timing
Static rules such as "if X then Y" and generic complementary lists sent without regard for timing.
Replenit uses behavioural data to understand product relationships and predicts the exact moment of readiness. It selects the right complementary item and triggers the offer only when the customer is psychologically ready to consider it.
Cross-sell moments that feel natural, arrive at the perfect time, and convert better.
Promotion
Margin Protection
Blast discounts, broad targeting, and promotions driven by calendars rather than behaviour.
Replenit assigns promotions only when they are needed based on intent, price sensitivity, product lifecycle, and margin protection. It also knows when not to discount because the customer would buy without one.
Less discount waste, higher margins, and more controlled promotion usage.
Upsell
Value Growth
Send a higher-priced product immediately after a purchase or rely on broad segments based on average order value.
Replenit identifies when a customer shows readiness to upgrade and selects the right higher-tier product based on behavioural patterns and product transitions.
Upsells that increase margin without harming customer experience.
Churn (Product Level)
Retention
Generic churn windows such as "inactive for sixty to ninety days" along with reactive messaging.
Replenit detects churn at the product level by identifying early deviations from a customer's usual repurchase behaviour long before traditional churn models flag risk.
You recover product abandonment early and retain value before it slips.
Unlock Your
Revenue Potential
Input your metrics and see how Replenit transforms retention into predictable, autonomous growth or book a demo to start your decision engine
“We were dreaming about an automated solution that could cover all of our products and customers and Replenit jumped in with a fully automated and full coverage of our product portfolio.”
“I am thoroughly impressed with Replenit for several reasons. Their alignment with our vision was immediately apparent, making the decision to work with them a natural choice. Particularly, their capability to handle complex data sets and develop customized solutions to meet our specific requirements has been outstanding.”
CASE STUDIES
Mumzworld Unlocked 42X ROI with Replenit's AI Decision Engine
e-bebek's Strategic AI Transformation with Decision Intelligence
L'Occitane Elevates Post-Purchase Revenue by 235%
Glosel Increase Marketing Automation Revenue by 53%
IBOOD, From Zero to 6.3% Revenue Share in 54-Day
Faith In Nature Drives 12.71% Total Revenue With Replenit
Ovabalance Grows Repeat Revenue 340% With Decision Engine
Farmex Achieves a 12X Conversion Boost With Replenit
Kito Pet Achieves 14X ROI With 1-Day Shopify Integration
Recognized by Industry Leaders
Transform Your Existing Stack.
Make It Smarter.
No rip-and-replace. Replenit plugs into your current tools and adds an AI decision layer that optimizes every customer touchpoint.
AI EngineOur Trusted Partners
We collaborate with the world's leading platforms to deliver seamless AI experiences.
Everything You Need to Know
From the Blog
Explore the latest strategies, insights, and trends in AI-powered customer retention and e-commerce growth.
Growing DTC Brand Revenue with AI-Powered Lifecycle Marketing
How to Implement a Multichannel Repurchase Strategy with AI
Rate Limits
Error Responses
Best Practices Guide
Products API
Orders API