Industry

Manufacturing

Production telemetry, supply-chain signals, and quality data that rarely speak to each other. We connect them and put the answers where the operators, planners, and finance team can act on them.

Talk to us about manufacturing Related case studies

Where we focus

What we get right in manufacturing.

Production telemetry

Real-time and near-real-time visibility into the lines that matter most. Built so the platform extends to the next plant without a rewrite.

Supply-chain analytics

Inventory, supplier performance, and demand signals consolidated. Forecasting that the planning team trusts because the inputs are auditable.

Quality and yield

Defect, scrap, and yield analysis tied back to upstream causes. Power BI for trends; alerts for the moment.

Common use cases

What we get asked to build.

Plant-floor production dashboards
Inventory and supplier analytics
Quality / yield root-cause surfaces
IoT-to-cloud data pipelines
OEE (Overall Equipment Effectiveness) measurement and tracking
Predictive maintenance on critical production assets
Demand forecasting and production scheduling analytics
Supplier quality scorecards and corrective action tracking

Why Nextekk

What we bring to manufacturing.

Plant floor context

Designing for plant-floor adoption requires understanding what operators and planners actually need to see, not what looks good in a demo. We invest in that understanding before designing the solution.

IoT and historian integration

Azure IoT Hub, Event Hubs, and the ingestion patterns that handle the volume and velocity of plant telemetry without losing records. We have moved historian data to cloud analytics across multiple manufacturing environments.

Supply chain and quality connected

Production analytics in isolation misses half the picture. We connect quality, inventory, supplier performance, and production data into a platform where root cause analysis crosses the boundaries that siloed systems create.

Built to scale across sites

A platform that works for one plant should work for ten without a rebuild. We design data architectures and reporting structures that extend to additional facilities by configuration, not re-engineering.

Business value

What clients typically see.

5-10% OEE improvement typical when production telemetry and downtime root-cause analytics are introduced on a plant floor

20-30% reduction in unplanned downtime at manufacturers that deploy predictive maintenance on critical production equipment

15% average inventory cost reduction when demand forecasting models replace manual planning cycles

40% faster quality investigation resolution when defect and yield data are traceable back to production batch and supplier lot

Doing similar work in manufacturing?

Tell us what you are trying to change. We will either be useful, or point you to who would be.

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