How long does a digital transformation project take?

Project timelines vary based on scope and complexity. Simple IoT implementations can be completed in 6-8 weeks, while comprehensive digital transformation initiatives typically take 3-6 months. We provide detailed project timelines during our initial assessment.

Do we need technical expertise to work with your solutions?

Not at all! We design user-friendly solutions and provide comprehensive training. Our Digital Academy also offers upskilling programs to help your team maximize the value of new technologies. We handle the technical complexity while you focus on business results.

What kind of ROI can we expect?

Our clients typically see ROI within 3-6 months. Based on 2024-2025 project data across 12+ manufacturing clients in the GCC and Europe, common benefits include 15-30% improvement in operational efficiency and measurable OEE gains. Exact ROI depends on your current processes and the solutions implemented.

What ongoing support do you provide?

We include 6 months of support and maintenance with every project. Our ongoing support packages ensure your systems continue to perform optimally and evolve with your business. We also provide training updates and system enhancements as needed.

Which industries do you serve?

We serve manufacturing, healthcare, financial services, energy, logistics, retail, and government sectors. Our solutions are adaptable across industries, with deep expertise in industrial operations, data analytics, and AI implementation.

How does Idraq's MES integration with SAP improve OEE?

Idraq connects your existing SAP and MES systems with live plant telemetry — vibration sensors, alarm feeds, and production counters — to give you a unified OEE dashboard. Clients report average 18% OEE improvement within 6 months. The integration requires no SAP module changes; we layer our data mesh on top of existing infrastructure.

What is IIoT and how does it improve manufacturing operations?

Industrial IoT (IIoT) connects sensors, PLCs, and edge devices across your production floor to a centralized data platform. Idraq uses OPC-UA, MQTT, and REST APIs to collect vibration, temperature, and energy telemetry, then feeds it into dashboards and AI models that surface anomalies, predict failures, and reduce unplanned downtime by up to 25%.

What AI solutions does Idraq offer for manufacturing?

Idraq provides custom AI agents and LLM assistants designed for industrial workflows. Our solutions include RAG systems that query your own SOPs and manuals, fine-tuned models for domain-specific tasks like root-cause analysis, AI voice agents for production support and scheduling, and document intelligence pipelines that extract data from contracts, invoices, and maintenance logs.

What does a data platform for manufacturing include?

Idraq's data platform covers data integration via ETL pipelines and real-time streaming, storage architecture with lakehouse and warehouse, analytics and BI dashboards, and data mesh governance. It unifies information from SAP, MES, IoT sensors, and manual inputs so decision-makers have a single source of truth for production KPIs.

Manufacturing OEE & efficiency benchmark

Published April 18, 2026 · Anonymized aggregate · Individual results vary

Across 12+ manufacturing clients in the GCC and Europe (2024–2025 project data), common patterns emerged when connecting SAP/MES, IIoT telemetry, and unified dashboards:

15–30% improvement in operational efficiency metrics where baseline automation maturity was medium.
Measurable OEE gains where vibration, alarm, and production counters were unified (FAQ cites ~18% average OEE improvement within 6 months in comparable integrations).
Reduced unplanned downtime in pilot lines when OPC-UA / MQTT telemetry fed anomaly workflows.

This benchmark is descriptive, not a guarantee. Scope, data quality, and change management drive outcomes.

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