Your customers leave 1 by 1Now You CanRetain Them 1 by 1.
Replenit deploys 6 AI Agents that reason about every fashion consumer as an individual, understanding her style profile, predicting what completes her wardrobe, and making intelligent 1:1 retention decisions at scale. Deploys as an intelligence layer on top of your existing tech stack, no migration, no rip-and-replace.
Trusted by leading brands & recognized by industry leaders
We Don't Predict Behavior.
We Understand Why It Happens.
Traditional tools look at what customers did. Replenit's Theory of Mind engine models why they did it.
Customer bought a 3-pack of white crew tees 105 days ago. Her modeled wear rate, built from her order history and the product's wear-out profile, places her at 92% end-of-life on the staples.
This isn't a generic 6-month replacement rule. Her individual cadence is 120 days, synthesized from her reorder intervals and item type. She wears these as her daily base layer. The repurchase pattern reveals a foundation-staple relationship with the product, not a fashion-led purchase.
Trigger a personalized restock message at Day 110, framed as refreshing her staples, not selling more tees. Timing is her wear rhythm, not a calendar rule.
Every Touchpoint Feels Like
It Was Made for Her.
Because it was. Here's what your fashion customers actually see.
“How did they know my staples were wearing out?”
Sarah M.Your favourite white crew tee is on its 4th month. Refresh the foundation.
Day 112 of 120-day wear cycle. Push selected as her preferred AM channel.
“I was literally building this exact outfit in my head.”
Emily R.You've built the blazer half. Here's the cut that completes the look.
Discovery window open. 72hrs post wardrobe milestone. Outfit completion intent detected.
“Finally, a brand that respects my taste.”
Jessica L.Based on what you wear, this is the trade-up we'd suggest. No discount, no gimmicks.
High loyalty, low price sensitivity. No discount needed. Provenance education converts.
“They waited until it actually mattered.”
Olivia K.Your denim + knit capsule is here, refreshed for the season. Same fits, fresh start.
CLTV dropped 34% over 90 days. Reorder cycle broken. Win-back window closing.
“It’s like they know exactly when I need a nudge.”
Amara T.Three pieces from your last order, one head-to-toe look. Styled for the season.
28-day post-purchase milestone. Engagement score declining. Wear reinforcement window.
“I almost switched brands. They pulled me back just in time.”
Nina W.Your last cashmere crew is overdue. Three updates in your fit, inside.
Category-level churn signal. Knitwear orders dropped 60% over 6 weeks. Intervention triggered.
But how?
Replenit's Decision Engine works as an autonomous CRM manager for every single customer.
Each one reasoned. Each one personal. Here's what happens in the milliseconds before every touchpoint.
White crew tee 3-pack at end-of-life within 24 hours
Suit completion window open, wardrobe expansion ready
Denim category-level churn detected
High-loyalty customer, discount suppression active
28-day post-purchase milestone, wear reinforcement window open
CLTV dropped 34%, capsule cycle broken
White crew tee 3-pack at end-of-life within 24 hours
Suit completion window open, wardrobe expansion ready
Denim category-level churn detected
High-loyalty customer, discount suppression active
28-day post-purchase milestone, wear reinforcement window open
CLTV dropped 34%, capsule cycle broken
How It Works
Four stages. Fully autonomous. Every decision is reasoned, personalized, and dispatched through your existing channels.
Your order, product, and customer data flows in through a single API. No migration, just a secure read layer.
Every garment is enriched with wear velocity, outfit relationships, fit profiles, and replacement timing.
Your business priorities become real-time directives routed to each autonomous agent, per customer.
Every 1:1 decision dispatched through your existing channels including email, SMS, push, CDP, and more.
Stop guessing. Start knowing.
The fashion brands that win the next decade won't batch‑and‑blast. They'll deploy decision intelligence.
Your Strategy.
Maestro's Execution.
You define what matters most for your fashion brand. Maestro translates those priorities into real-time directives for every autonomous agent, ensuring each customer interaction aligns with your business goals.
Real-time priority routing
Every agent action reflects your current strategy
No manual rules
Priorities propagate autonomously across all agents
Adaptive execution
As your strategy shifts, agent behavior shifts instantly
Agent Priority Routing
Revenue
Maximizes revenue per customer through personalized outfit and wardrobe recommendations
Purchase Frequency
Accelerates restock cycles based on each customer's individual wear velocity
Average Order Value
Drives capsule adoption and premium-tier upsells across the wardrobe
Margin Protection
Limits unnecessary discounts on pieces she would buy at full price
Churn Prevention
Detects fading category engagement and triggers retention before it is too late
Directives routed to agents
We Enrich Your Catalog Before Agents Act
Your fashion catalog holds SKUs, prices, and size charts. Our reasoning engine adds the wardrobe intelligence that makes every agent decision precise.
| Product | Wear Frequency | Garment Type | Style Profile | Outfit Role | Pairs With | Avg. Lifespan | Replacement Cycle |
|---|---|---|---|---|---|---|---|
| Levi's 501 Original Jeans | 4-5x weekly | denim | Classic, Workwear | Foundation anchor | Tees, button-downs, sneakers | 14 months | 14 months |
| Uniqlo Heattech Crew Neck Tee | daily, layer | thermal base | Minimal, Functional | Hidden base layer | Knitwear, shirts, outerwear | 9 months | 9 months |
| COS Wool Tailored Blazer | 2-3x weekly | tailoring | Modern minimal, Smart | Statement layer | Tailored trousers, knit, white tee | 3 seasons | 24 months |
| Adidas Samba OG Sneakers | 3-4x weekly | low-top trainer | Casual, Retro sport | Footwear anchor | Denim, chinos, track pants | 11 months | 11 months |
| Acne Studios Cashmere Crew Sweater | 2x weekly, winter | knitwear | Elevated minimal | Mid layer | Tailored trousers, denim, overcoat | 4 seasons | 36 months |
| Everlane Clean Silk Blouse | weekly, work | silk top | Classic, Polished | Smart layer | Tailored trousers, midi skirts | 2 seasons | 18 months |
| Reformation Juliette Linen Midi Dress | weekly, summer | linen dress | Romantic, Seasonal | Standalone outfit | Sandals, denim jacket, slides | 2 summers | 20 months |
Real Results from Real Retention Leaders
Replenit's decision engine is industry-agnostic. The same intelligence powering these retention leaders works across every category your fashion catalog covers.
“Replenit transformed our CRM in just 3 weeks. It generated incremental revenue and boosted lifecycle results by 235%, all without any discounts.”
“I am thoroughly impressed with Replenit. Their alignment with our vision was immediately apparent. Their capability to handle complex data sets and develop customized solutions to meet our specific requirements has been outstanding.”
“We were dreaming about an automated solution that could cover all of our products and customers, and Replenit jumped in with full coverage of our product portfolio.”
The Gap Between Legacy & Intelligence
See how Replenit's AI agents outperform traditional automation across every dimension.
Connects With Your Fashion Tech Stack
No rip-and-replace. Just intelligent orchestration on top of your existing tools.
Via API & Webhooks
Stop guessing. Start knowing.
The fashion brands that win the next decade won't batch‑and‑blast. They'll deploy decision intelligence.