The Decision Engine
Seven agents.One brain.
Replenit's retail intelligence runs as seven autonomous agents, each owning one decision, all conducted by Maestro.
Trusted by leading brands & recognized by industry leaders
The Agents · 7 specialists, 3 categories
Every decision, owned by a specialist.
Filter by category or browse the full set. Each agent reasons at the individual customer level.
Why it's different · Side by side
Same job. Two very different stacks.
Pick any agent and see how the legacy playbook stacks up against the autonomous decision Replenit makes in real time.
Calendar-driven repurchase flows
Enterprise stacks lean on a fixed re-order window, typically a 30 or 45 day flow built into Klaviyo, Braze, or Salesforce Marketing Cloud. The send fires on calendar logic with a 'days since last purchase' filter and one product-category split, then waits for the next quarterly optimisation cycle.
- Static cadence: 30 / 60 / 90 day windows
- One SKU recommendation per segment, refreshed monthly
- Optimisation by A/B test, chasing 1-2 percent uplifts
Per-customer consumption modelling
Replenit models the depletion curve for every SKU-customer pair, learning from real purchase intervals, order composition, and household-level signals. The send fires the moment a customer's individual stock crosses zero, on the channel they actually convert on.
- Individual consumption rate, modelled per SKU
- Trigger on predicted run-out, not days since order
- Channel, timing, and offer chosen per customer
Why Maestro · The conductor
Set the priorities. Maestro routes the agents.
Strategic priorities, autonomously enforced across every customer-level decision.
How it works
Maestro is the decision layer above Replenit's seven autonomous agents. Every decision they would make passes through Maestro's priority lens first.
Push Margin Protection to the top of the list and Maestro instantly throttles discount depth across Promotion, gates Winback's offers, and constrains Cross-Sell to high-margin SKUs. Reorder the list at any time and the agents adapt across your entire customer base immediately.
Agent Priority Routing
Revenue
Prioritizes actions with the highest direct sales impact
Purchase Frequency
Focuses on accelerating the next order date and creating habits
Average Order Value
Prioritizes bundle recommendations and premium upsells
Margin Protection
Limits discount depth and prioritizes full price conversions
Churn Prevention
Ensures at risk customers receive retention focused treatments
“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
ebebek'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
The next chapter of retailisn't automated. It's autonomous.
The era of segments, journeys, and broadcast sends is closing. Replenit's seven agents reason at the individual customer level, in real time, conducted by Maestro and built for the enterprise.