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Solution Blueprint
Autonomous Plant-Floor OEE

Manufacturing & Logistics

Unolabs builds the high-fidelity digital twins and operational lakehouses required for autonomous manufacturing. We connect plant, MES, ERP, and sensor data into a single engineering system that optimizes OEE, asset health, and supplier risk in real-time.

Operational Context

For discrete manufacturing leaders, automotive components, industrial products, and global logistics networks.

Strategic Mandate

Engineering specialized data zones and autonomous processing layers for Manufacturing & Logistics leaders.

Industry Challenges

Architectural Bottlenecks Hindering Manufacturing & Logistics Transformation

Systemic OT/IT Fragmentation: Plant-floor MES, IoT, and ERP data sit in disconnected silos with inconsistent grains, preventing real-time operational visibility.

Disconnected Value Chains: Operations teams cannot trace the relationship between asset health, production downtime, and supplier risk in a single engineering view.

Governance Gaps in Telemetry: Sensor-driven predictive maintenance and OEE programs fail when high-frequency telemetry data is not governed and contextualized.

Anonymized Use Cases

Relevant patterns from industry work

Each pattern represents a validated technical outcome delivered for global enterprise clients.

Use Case 01

Digital Twin for Scope 3 Traceability

Developed a verifiable sustainability twin for a major manufacturer, tracking real-time Scope 3 emissions across 500+ suppliers to meet 2026 ESG compliance mandates.

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Use Case 02

Agentic Predictive Maintenance

Implemented autonomous agents that diagnose asset faults and trigger work orders in SAP without human intervention, achieving a 15% increase in OEE for an automotive plant.

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Use Case 03

Connected Vehicle Data Platform

Modernized a global automotive leader's data foundation with a multi-domain platform and golden records, powering real-time connected vehicle analytics.

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Industry Flow

Manufacturing & Logistics Operational Flow

Input

ERP, MES, WMS, IoT, suppliers

Production, inventory, shipment, quality, asset, supplier, and sensor events enter from plant and logistics systems.

SAP + MES + IoT
Treat

Operational lakehouse

Events are standardized by asset, plant, product, order, supplier, location, and time with quality and lineage controls.

Streaming + ETL
Model

OEE, risk, maintenance, movement

Operational features power downtime analytics, predictive maintenance, supplier risk, inventory visibility, and logistics exception detection.

ML + graph
Activate

Plant, logistics, procurement, finance

Teams receive dashboards, alerts, forecasts, and workflows for throughput, service, and cost decisions.

BI + alerts
Industry Architecture Blueprint

Diagnostic view of the Manufacturing & Logistics data stack

This blueprint details the specialized processing zones, control points, and delivery channels specific to the Manufacturing & Logistics landscape.

Operational Lakehouse Blueprint
MFG_OS_V1.1
[Asset Telemetry] → [MES / ERP Sync] → [Operational Store] ↑ ↓ ↓ [Throughput AI] ← [OEE Calculation] ← [Downtime Root Cause] ↑ ↓ ↓ [Plant Cockpit] ← [Maintenance Alert] ← [Supplier Risk Map]
Featured Insights

Expert insights for Manufacturing & Logistics

Enterprise migration and production operating model stories.

Outcomes

Industry Transformation Outcomes

Real-Time Operational Visibility

Predictive Maintenance Maturity

Resilient Supply Chain Orchestration

Connect the Dots

Engineering Manufacturing & Logistics Ecosystems

How our 2026 service catalog integrates to solve high-growth industry challenges.

Step 01

Real-Time Streaming & Event Architecture

Engineering

"Enable sub-second visibility into global logistics movements with agentic grid partners for load balancing."

Sub-500ms End-to-End LatencyZero-Loss Event Orchestration
Step 02

Data Engineering & Integration

Engineering

"Engineer high-frequency OT/IT integration pipelines for real-time digital twins and plant-floor OEE automation."

Accelerated ModernizationReal-Time Visibility
Step 03

Data Architecture

Strategy

"Decouple monolithic plant-level silos into a domain-driven data mesh for real-time MES integration."

Azure, AWS, Fabric, SnowflakeC4-Level System Design
Step 04

Enterprise Data Platform Building

Engineering

"Architect production-grade industrial lakehouses that consolidate MES, ERP, and IoT signals into a single source of truth."

Ecosystem InteroperabilityModernization Acceleration
Step 05

Enterprise Decision Intelligence & Operational Analytics

Intelligence

"Transition from historical downtime reporting to predictive maintenance and supplier risk intelligence."

Operational IntelligenceGoverned Reporting Ecosystems
Step 06

DevOps & SRE

Engineering Operations

"Implement DataOps to ensure 99.9% reliability for your production and asset telemetry pipelines."

Accelerated ModernizationOperational Delivery Velocity
Step 07

Data Visualisation

Intelligence

"Design immersive operational cockpits to visualize plant throughput, OEE, and supplier risk in real-time."

Executive Decision AccelerationReal-Time Operational Visibility
Discovery Cycle

Initiate Your Manufacturing & Logistics Modernization Brief

We'll review your current architecture, identify immediate bottlenecks, and draft a production-grade roadmap for your autonomous transformation.