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The Infrastructure Behind Auditable Pallet Intelligence

Embedded IoT, continuous connectivity, and AI-powered validation for enterprise supply chains.

Core Technology Stack

Purpose-built infrastructure for enterprise pallet intelligence.

Embedded IoT Device

Industrial grade device embedded into each pallet for continuous data capture.

Multi-Network Connectivity

BLE, WiFi sniffing, GNSS, and LoRaWAN ensure coverage across indoor and outdoor environments.

Cloud & Edge Processing

Secure ingestion, normalization, and processing of pallet telemetry at scale.

AI & Validation Engine

Real-time validation of movements, custody, and operational rules.

Connectivity & Data Capture

Pallets collect operational data continuously. No scanners. No human dependency.

Warehouse Presence Detection

Automatic location awareness across facilities without fixed infrastructure dependencies.

Route & Transit Visibility

Continuous tracking through transportation networks with cellular and satellite coverage.

Dwell Time Analysis

Precise measurement of asset time at each location for operational optimization.

Autonomous Event Creation

System generated events based on sensor data. No manual input required.

No scanners. No human dependency. Continuous signal intelligence.

AI & Intelligence Layer

Machine learning models purpose-built for supply chain governance.

Anomaly Detection

Identify deviations from expected operational patterns in real time.

Custody Validation

Verify custody transitions against business rules and expected workflows.

Routing Verification

Flag unexpected routes and prevent assets from reaching unauthorized locations.

Real Time Exception Flagging

Immediate alerts for policy violations and operational exceptions.

Validation Architecture

Rules-based + AI hybrid model

Deterministic + probabilistic validation

Enterprise grade explainability

Auditable decision logs

All AI decisions are logged with full context for audit and compliance review. No black-box processing.

Data Flow Architecture

End-to-end data pipeline from device to enterprise systems.

Embedded sensors capture location, environment, and movement data continuously.

IoT Device

1

TLS 1.3 encrypted transmission to cloud infrastructure with certificate pinning.

Secure Ingestion

2

Real-time normalization, deduplication, and rule-based validation.

Processing & Validation

3

Immutable storage with policy-based retention and cryptographic integrity.

Data Lake

4

Enterprise dashboards and REST APIs for system integration.

Dashboards & APIs

5

Platform Demo

See the ENZO platform in action

Ready to explore the platform features?

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