Dovient

Your Systems Should Talk to Each Other

Connect SAP, Oracle, MES, IoT sensors, and SCADA. Dovient works alongside your existing systems. It does not replace them. All your data in one maintenance view.

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Integration Architecture

ERP Systems

SAP, Oracle

MES/SCADA

Production Data

IoT Sensors

Real-Time Data

Dovient

Integration Hub

Work Orders

Auto-Created

Dashboards

Unified View

AI Copilot

Full Context

50+

Pre-Built Connectors

REST

Open API

Real-Time

IoT Ingestion

Why Data Silos Kill Maintenance Performance

Work orders live in the CMMS. Parts data lives in the ERP. Production data lives in the MES. Equipment specs live in file shares. Sensor readings live in SCADA. Nobody has the full picture.

Planners spend hours copying work order data into SAP for cost allocation. Technicians re-enter parts consumed in the ERP. Every manual touchpoint wastes time and introduces errors. When IoT sensors detect abnormal vibration, they sit idle because the sensor data exists in a separate system. Nobody creates a work order. The insight is invisible.

Plants hesitate to adopt new tools because they've invested millions in SAP or Oracle. They fear rip-and-replace. Dovient solves this: it works alongside your existing systems, unlocking data that's already there.

The Disconnect Tax

CMMS does not talk to ERP

Planners spend hours copying work order data into SAP for cost allocation. Parts consumed in the field are re-entered manually in the ERP. Every touchpoint wastes time and introduces errors.

Sensors detect anomalies that nobody sees

IoT sensors flag abnormal vibration, but the data sits in a separate system. Nobody creates a work order. The insight is invisible until the machine fails.

Quality disconnected from maintenance

Calibration events do not trigger quality deviations. NCRs exist in a separate system from asset history. Root cause analysis lacks the maintenance context to find real answers.

OEE does not connect to work orders

Production tracks downtime in one system while maintenance tracks repairs in another. Correlating equipment failures to production losses requires manual spreadsheet work.

How Integration Works

1

Configure

Select connectors, map fields, set sync rules

2

Connect

REST API, webhooks, file import, MQTT

3

Sync

Real-time or scheduled, with conflict resolution

Connector Catalog

ERP Systems

SAP PMOracle EAMMaximoMicrosoft DynamicsInforNetSuite

MES & SCADA

Siemens MESRockwell FactoryTalkWonderware SCADAGE HistorianOSIsoft PIIgnition

IoT & Sensors

AWS IoTAzure IoT HubMQTTOPC UAModbusSiemens IoT

APIs & Custom Integrations

REST APIGraphQLWebhooksCSV ImportCustom Middleware

Real-World Data Flow

Scenario: An IoT vibration sensor on Pump P-301 detects excessive movement. Here's what happens automatically:

1

Sensor Anomaly

Vibration exceeds 7.2mm/s threshold

2

Work Order Created

Dovient creates work order: 'Pump P-301 Vibration Analysis'

3

SAP Notified

Work order pushed to SAP PM for cost tracking

4

Parts Reserved

SAP MM automatically reserves bearing kit for pump P-301

5

Technician Alerted

Mobile notification sent to certified pump technician with skill matrix match

Result: What was invisible sensor data becomes an actionable work order. No manual re-entry. No delay. The right person gets the right task with full context.

Who It's Built For

IT Managers · System Integrators · Maintenance Managers · Digital Transformation Teams

Connect Everything. Eliminate Silos. Act Faster.

Your data is fragmented. Dovient brings it together into one intelligent maintenance view.

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