Your customers leave 1 by 1Now You CanRetain Them 1 by 1.
Replenit deploys 6 AI Agents that reason about every furniture and DIY customer as an individual, understanding her style profile, predicting what completes her room, 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 purchased a Dyson V15 vacuum plus filter pack 155 days ago. Her modeled cleaning rate, built from her purchase history and the filter's depletion curve, places her at 90% filter end-of-life within 14 days.
This isn't a generic 6-month category average. Her individual filter cadence is 5 months, synthesized from her vacuum runtime and household profile (hard floors, multi-pet). She vacuums whole-home twice a week. The replenishment pattern reveals a workflow dependency on the vacuum, not a one-time accessory.
Trigger a personalized restock message at Day 160, framed as keeping her home running, not selling more filters. Timing is her cleaning rhythm, not a calendar rule.
Every Touchpoint Feels Like
It Was Made for Her.
Because it was. Here's what your furniture and DIY customers actually see.
“How did they know my vacuum filters were due?”
Sarah M.Your V15 HEPA filter hits 5-month service life this week. Restock before pickup quality drops.
Day 152 of 165-day depletion cycle. Push selected as her preferred AM channel.
“That's exactly the table I had in my saved items.”
Emily R.You've built around the Kave Home oak sofa. Here's the matching coffee table that pairs perfectly.
Discovery window open. 30 days post anchor-piece purchase. Room-completion intent detected.
“Finally, a retailer that respects my material choices.”
Jessica L.Based on how you use your living room, this is the protection we'd recommend. No discount, just the right add-on.
High loyalty, low price sensitivity. No discount needed. Usage-based upsell converts.
“They waited until the collection I actually wanted dropped.”
Olivia K.The new SS Scandi-warm collection matches the oak and linen pieces you already love.
CLTV dropped 34% over 180 days. Refresh cycle broken. Collection-aligned win-back triggered.
“It’s like they know when I need a nudge.”
Amara T.Most weekend renovators haven't tried the percussion mode yet. Here's a 5-minute walkthrough.
30-day post-purchase milestone. Feature adoption declining. Habit reinforcement window.
“I almost switched stores. They pulled me back just in time.”
Nina W.Your last bit set is due for a refresh. Three project bundles matched to your renovation profile, inside.
Category-level churn signal. DIY 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.
Dyson V15 filter end-of-life predicted within 24 hours
Discovery window open, living-room completion ready
DIY tools category-level churn detected
High-loyalty premium customer, discount suppression active
30-day post-purchase milestone, project adoption window open
CLTV dropped 34%, seasonal-refresh cycle broken
Dyson V15 filter end-of-life predicted within 24 hours
Discovery window open, living-room completion ready
DIY tools category-level churn detected
High-loyalty premium customer, discount suppression active
30-day post-purchase milestone, project adoption window open
CLTV dropped 34%, seasonal-refresh 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 product is enriched with lifecycle data, room relationships, and refresh 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 home retailers 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 home-retail 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 room completion and replenishment
Purchase Frequency
Accelerates consumable replenishment and seasonal refresh across the home
Average Order Value
Drives room-bundle adoption, accessory attach, and extended-care plans
Margin Protection
Suppresses discounts for premium home buyers who would purchase at full price
Churn Prevention
Detects category-level lapses and triggers retention before competitors enter
Directives routed to agents
We Enrich Your Data Before Agents Act
Your product catalog holds SKUs and prices. Our reasoning engine adds the intelligence that makes every agent decision precise.
| Product | Use Frequency | Product Type | Style Profile | Room Role | Pairs With | Avg. Service Life | Refresh Cycle |
|---|---|---|---|---|---|---|---|
| Kave Home Solid Oak 3-Seat Sofa | daily, primary | anchor furniture | Scandi-warm, Natural materials | Living room anchor | Coffee tables, rugs, lamps | 10 years | 8 years |
| Dyson V15 Detect Cordless Vacuum | weekly, whole-home | appliance | Hard-floor, Multi-pet | Cleaning anchor | HEPA filters, brush rolls | 7 years | 5 years |
| Dyson V15 HEPA Filter Replacement | every 6 months | consumable | Allergy-sensitive household | Vacuum maintenance | Dyson V15 / V12 stick vacs | 180 days | 6 months |
| Bosch GSR 18V-55 Cordless Drill | weekly project | power tool | Weekend DIYer, Home renovator | DIY anchor | Drill bits, batteries, charger | 8 years | 7 years |
| Bosch Multi-Material Drill Bit Set | per project | consumable | Renovator, Mounting & assembly | Tool consumable | Cordless drills, hammers | Pack of 35 uses | 9 months |
| Philips Hue White & Color Starter Kit | daily, ambient | smart lighting | Tech-forward, Mood-driven | Lighting anchor | Hue bulbs, switches, motion sensors | 8 years | 6 years |
| Philips Hue Bulb 4-Pack E27 Color | replacement | lighting consumable | Smart-home household | Bulb replenishment | Hue Bridge, Hue lamps | 3 years | 30 months |
Real Results from Retailers Like Yours
Home, furniture, and appliance brands driving measurable retention revenue with Replenit's AI decision engine.
“Replenit gave us a retention engine that understands rooms, not just SKUs. The cross-sell intelligence finally matches how our customers actually shop — piece by piece.”
“Replenit gave us a retention engine that understands appliance lifecycles, not just the next campaign. Accessory and consumable revenue became a meaningful CRM line.”
“We needed retention intelligence that respected appliance lifecycles and home setup. Replenit delivered that without forcing us to retrain the team.”
The Gap Between Legacy & Intelligence
See how Replenit's AI agents outperform traditional automation across every dimension.
Connects With Your Home Retail Tech Stack
No rip-and-replace. Just intelligent orchestration on top of your existing tools.
Via API & Webhooks
Stop guessing. Start knowing.
The home retailers that win the next decade won't batch‑and‑blast. They'll deploy decision intelligence.