Your shoppers leave 1 by 1Now You CanRetain Them 1 by 1.
Replenit deploys 6 AI Agents that reason about every grocery shopper as an individual, understanding why they buy, predicting what they'll run out of next, 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 shoppers did. Replenit's Theory of Mind engine models why they did it.
Customer purchased a 500g coffee bag 12 days ago. Her modeled consumption rate, built from her purchase history and household profile, places her at 91% depletion.
This isn't a generic 30-day category average. Her individual cadence is 14 days, synthesized from her order intervals and bag size. Coffee is part of a morning ritual. The repurchase pattern reveals psychological dependency on the routine, not just the product.
Trigger a personalized replenishment message at Day 13, framed as continuing her morning ritual, not restocking a SKU. Timing is her rhythm, not a calendar rule.
Every Touchpoint Feels Like
It Was Made for Their Routine.
Because it was. Here's what your shoppers actually see.
“My coffee bag was empty the morning the new one arrived.”
Sarah M.Your Lavazza beans are running low. Keep your routine going, fresh bag on the way.
Day 13 of 14-day cycle. Push notification selected as her preferred AM channel.
“I was already wondering what to pair with my new sauce.”
Emily R.You've added Heinz pasta sauce to your basket twice this month. Here's the pasta that pairs perfectly.
Basket adjacency window open. 72hrs post sauce reorder. Pasta category curiosity detected.
“Finally, a store that doesn't waste a discount on me.”
Jessica L.Based on your weekly coffee rhythm, the 1kg bag is your most efficient pick. Same quality, smarter price-per-gram.
High loyalty, low price sensitivity. No discount needed. Value framing converts.
“They waited until it actually mattered.”
Olivia K.Your coffee, pasta and cereal duo is waiting. Same routine, fresh start.
CLTV dropped 34% over 90 days. Replenishment cycle broken. Win-back window closing.
“They knew exactly when my pantry day was.”
Amara T.Your staples are all due this week. Here's the list pre-built for one-tap checkout.
28-day pantry milestone. Engagement score declining. Routine reinforcement window.
“I almost switched stores for my detergent. They pulled me back just in time.”
Nina W.Your Persil reorder is 12 days past your usual cycle. Here's a quick reorder, no discount needed.
Product-level churn signal. Detergent overdue by 12 days. Brand still loyal on other SKUs.
But how?
Replenit's Decision Engine works as an autonomous CRM manager for every single shopper.
Each one reasoned. Each one personal. Here's what happens in the milliseconds before every touchpoint.
Lavazza Coffee depletion predicted within 24 hours
Pasta-sauce basket window open, pasta missing
Persil Detergent product-level churn detected
High-loyalty pantry buyer, discount suppression active
Monthly pantry-day milestone, routine reinforcement window
CLTV dropped 34%, pantry cycle broken
Lavazza Coffee depletion predicted within 24 hours
Pasta-sauce basket window open, pasta missing
Persil Detergent product-level churn detected
High-loyalty pantry buyer, discount suppression active
Monthly pantry-day milestone, routine reinforcement window
CLTV dropped 34%, pantry cycle broken
How It Works
Four stages. Fully autonomous. Every decision is reasoned, personalized, and dispatched through your existing channels.
Your order, product, and shopper data flows in through a single API. No migration, just a secure read layer.
Every SKU is enriched with consumption velocity, basket adjacencies, and replenishment timing.
Your business priorities become real-time directives routed to each autonomous agent, per shopper.
Every 1:1 decision dispatched through your existing channels including email, SMS, push, CDP, and more.
Stop guessing. Start knowing.
The grocery 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 grocery brand. Maestro translates those priorities into real-time directives for every autonomous agent, ensuring each shopper 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 household through personalized pantry recommendations
Purchase Frequency
Accelerates replenishment cycles based on individual product velocity
Basket Size (AOV)
Drives multi-category adjacency and pantry completion
Margin Protection
Limits unnecessary discounts on products she would buy at full price
Churn Prevention
Detects product-level lapse and triggers retention before brand churn
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 | Consumption Rate | Category | Household Sensitivity | Routine Slot | Compatibility | Avg. Daily Use | Replenish Cycle |
|---|---|---|---|---|---|---|---|
| Lavazza Coffee Beans 500g | twice daily | ground coffee | High, family vs single | Step 1 of 3, Morning | Filters & grinder | 36 g/day | 14 days |
| Persil Bio Detergent 2L | per laundry cycle | liquid detergent | Very high, household size | Weekly washes | Comfort fabric softener | 50 ml/wash | 6 weeks |
| Pampers Baby-Dry Size 4 (44ct) | 5-7x daily | disposable diaper | Critical, baby age stage | All-day rotation | Wipes & rash cream | 6 units/day | 8 days |
| Heinz Tomato Pasta Sauce 500g | 2x weekly | jarred sauce | Medium, dinner cadence | Step 2 of 3, Evening | Pasta & parmesan | 100 g/use | 18 days |
| Kellogg's Corn Flakes 500g | daily breakfast | breakfast cereal | High, kids in household | Step 1 of 1, Morning | Semi-skimmed milk | 40 g/day | 12 days |
| Andrex Toilet Paper 9-roll | household daily | paper goods | Linear with household | Bathroom essentials | Standalone | 1 roll/2 days | 18 days |
| Tropicana Orange Juice 1.5L | daily breakfast | chilled juice | Medium, breakfast routine | Step 1 of 1, Morning | Cereal & toast | 200 ml/day | 8 days |
Real Results from Real Grocery & FMCG Leaders
Leading grocery and consumables retailers driving measurable revenue with Replenit's AI Decision Engine.
“Replenishment had been on our roadmap for a long time, but technical limitations held us back until Replenit. It launched effortlessly and quickly became our top-performing flow, now driving over 35% of our total marketing automation revenue.”
“Working with Replenit has been a game-changer for our retention strategy. The setup was incredibly smooth—no tech lift required—and their team truly understood our challenges from day one.”
“Through Replenit, we saw firsthand that AI is not an operational cost center but a scalable engine for value creation. The impact delivered in a short time confirmed the strength and long-term potential of this model.”
The Gap Between Legacy & Intelligence
See how Replenit's AI agents outperform traditional automation across every dimension.
Connects With Your Grocery Tech Stack
No rip-and-replace. Just intelligent orchestration on top of your existing tools.
Via API & Webhooks
Stop guessing. Start knowing.
The grocery brands that win the next decade won't batch‑and‑blast. They'll deploy decision intelligence.