MonkDB
MonkSmartX
Retail

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.

Store · 4,210 sq ft · live
Cold
Hot
+8.4%
Revenue lift
-31%
Stockouts
<1 s
Price recompute
6
Channels unified
How it works

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.

Dynamic pricing

Prices that follow live demand

SKU
Item
Was
Now
Demand
SKU-1042
Cotton tee · M
$19.99
$17.49
86%
SKU-2018
Linen shirt · L
$44.00
$39.00
62%
SKU-3370
Hooded sweat · S
$59.00
$64.00
94%
SKU-4519
Wool socks · 3p
$12.00
$9.99
40%
SKU-5781
Denim · 32W
$79.00
$79.00
55%
SKU-6602
Sneaker · 10
$99.00
$109.00
97%
Capabilities

What you get on day one

Production-grade primitives, wired into a continuous engine. No glue code, no second-system integration, no batch wait.

01 / 04

Personalization

Recommendations grounded in live behaviour and inventory state.

Live · per shopperNative
02 / 04

Demand forecasting

SKU-level forecasts that update on every transaction.

SKU-level · streamingNative
03 / 04

Dynamic pricing

Price decisions informed by demand, competition, and elasticity in real time.

<1 s recomputeNative
04 / 04

Inventory intelligence

Stockouts and overstocks flagged as they form, not at end-of-day reconciliation.

-31% stockoutsNative
Ecosystem

Plugs into the tools you already run

Commerce
  • Shopify
  • Magento
  • Salesforce Commerce
  • POS systems
Operations
  • SAP
  • Oracle Retail
  • WMS
  • OMS
AI and analytics
  • Personalization engines
  • Pricing optimizers
  • Looker
  • Tableau
In production
Pricing decisions used to wait for an overnight batch. Now they ride the same data that customers see when they walk in.
VP Retail Technology, Plait Retail
Year-one impact
  • +8.4%Year-one revenue lift across channels
  • -31%Stockouts on top SKUs
  • <1 sPer-SKU price recompute on demand signal
Trust
Built for regulated, sovereign deployments
  • SOC 2 Type II
  • PCI DSS
  • ISO 27001
  • GDPR
  • CCPA

Build retail that adapts to every shopper.

Voir comment MonkDB peut unifier votre infrastructure de données, sans compromis sur la souveraineté, la performance ou l'échelle.

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