Monk SmartRetail
Real-time customer and operations intelligence.
Behaviour, inventory, and transaction signals on one continuous engine. Personalize, forecast demand, and price dynamically across every shelf, channel, and shopper.
The production loop, end to end
01Capture
Behaviour, basket, inventory, and POS data streamed continuously across stores and channels.
02Personalize
Hybrid retrieval matches each shopper to inventory, content, and offers in milliseconds.
03Price
Demand, competition, and elasticity reasoned over per SKU. Prices recompute under one second.
04Replenish
Stockouts and overstocks flagged as they form. Replenishment workflows fire from the engine.
Prices that follow live demand
What you get on day one
Production-grade primitives, wired into a continuous engine. No glue code, no second-system integration, no batch wait.
Personalization
Recommendations grounded in live behaviour and inventory state.
Demand forecasting
SKU-level forecasts that update on every transaction.
Dynamic pricing
Price decisions informed by demand, competition, and elasticity in real time.
Inventory intelligence
Stockouts and overstocks flagged as they form, not at end-of-day reconciliation.
Plugs into the tools you already run
- Shopify
- Magento
- Salesforce Commerce
- POS systems
- SAP
- Oracle Retail
- WMS
- OMS
- Personalization engines
- Pricing optimizers
- Looker
- Tableau
Pricing decisions used to wait for an overnight batch. Now they ride the same data that customers see when they walk in.
- +8.4%Year-one revenue lift across channels
- -31%Stockouts on top SKUs
- <1 sPer-SKU price recompute on demand signal
- SOC 2 Type II
- PCI DSS
- ISO 27001
- GDPR
- CCPA
Build retail that adapts to every shopper.
Ver cómo MonkDB puede unificar su infraestructura de datos, con cero compromisos en soberanía, rendimiento o escala.
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