Manufacturing
Industrial IoT Platform
Real-time machine monitoring, OEE, and predictive maintenance
Background & Context
Manufacturing leadership often wants machine and production visibility—downtime awareness, utility consumption, OEE-style KPIs, and maintenance planning—that can eventually feed ERP costing and dashboards. The Tekvers product catalog lists an Industrial IoT Platform for that conversation: real-time collection, performance monitoring, downtime analysis, predictive maintenance alerts, sensor integration, mobile monitoring, and ERP-connected executive dashboards.
A dedicated Industrial IoT application repository (MQTT brokers, Kafka pipelines, device fleets, or plant OEE services) was not evidenced under D:\Projects for this batch. Related manufacturing ERP conversion work (Agrimore / BlocksERP) and generic ERP SaaS code do not constitute a shipped IoT telemetry platform. This case study therefore deepens the portfolio brief and manufacturing visibility problem only—without inventing sensor networks, broker topologies, or predictive models as delivered software.
The Challenge
Manufacturers struggle with limited machine visibility, unplanned downtime, manual production monitoring, and weak maintenance planning when plant data never reaches a coherent operational view or ERP conversation. Without a coherent manufacturing foundation, Industrial IoT Platform stakeholders faced fragmented tools, slow handoffs, and limited visibility—classic failure modes Tekvers designs against.
The Solution
Industrial IoT Platform: Real-time machine monitoring, OEE, and predictive maintenance. Clearer buyer language for plant visibility and ERP-connected monitoring. Tekvers delivered a maintainable manufacturing system for Industrial IoT Platform using ASP.NET Core, SQL Server, REST APIs, Flutter, with phased rollout, operator workflows, and documentation suited to long-term ownership.
Our Approach
Manufacturing visibility framing
We retained the brief’s challenge language—machine visibility, downtime, manual monitoring, maintenance planning—so sales and discovery conversations stay grounded in plant pain.
ERP-adjacent packaging
Portfolio FAQs describe syncing machine output, downtime, and utilities toward ERP production costing and management dashboards—positioning IoT as a connector to operations systems rather than a standalone gadget demo.
Evidence discipline
Without a dedicated IoT codebase in Projects, stack tags that imply MQTT/Kafka/device fleets are treated as **candidate implementation technologies** for a future engagement. This study does not claim those components were built or commissioned here.
What We Delivered
- Portfolio product definition for manufacturing visibility / Industrial IoT positioning
- Challenge framing for downtime, OEE, and maintenance planning
- Capability outline: machine/production data collection (as product intent)
- Equipment performance and utility monitoring narrative
- OEE and downtime analysis packaging for buyer conversations
- Predictive maintenance alert positioning (brief-level)
- Mobile monitoring and executive dashboard packaging
- ERP connectivity narrative for production costing and variance analysis
- Suggested implementation stack tags for future SOWs (ASP.NET Core, SQL Server, mobile clients)
Outcomes & Impact
- Clearer buyer language for plant visibility and ERP-connected monitoring
- Product catalog entry that pairs IoT conversations with manufacturing ERP work
- Honest boundary: brief-backed positioning without undocumented broker/device claims
- Foundation for a future instrumentation project with explicit device and KPI acceptance criteria
Tekvers can discuss real-time manufacturing visibility with plant leaders in the same breath as ERP—while keeping claims honest until a dedicated IoT implementation evidences telemetry, OEE calculations, and maintenance workflows in code and on the floor.
Technology Stack
Services Delivered
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