Get on a call with us to see how we can help you
Get a Quote
We build ERP integrations, MES platforms, IoT data pipelines, and OEE dashboards that replace the Excel tracking your shop floor still runs on. SAP, Oracle, Dynamics 365, and custom MES from Sprint 1.

Real-time OEE, machine health, production throughput, and inventory delta, all from a unified platform that talks to your ERP, machine sensors, and shop floor operators simultaneously. All metrics are live examples of what we build.

We connect custom manufacturing software to your existing ERP before writing a single custom data object. SAP via BAPI calls and OData endpoints. Oracle via REST APIs and database connectors. Dynamics 365 via Power Automate and direct API. The ERP data model is mapped in discovery so the integration does not fight the existing system.
OPC-UA for direct machine connectivity where the equipment supports it. MQTT for lightweight sensor telemetry at scale. Time-series databases (InfluxDB, TimescaleDB) for storing and querying high-frequency production events. Data architecture is sized for your actual machine count and sensor frequency before any infrastructure is provisioned.
A custom MES connects your production orders from the ERP to the actual work happening on the shop floor. Operator touchscreen interfaces for production start, stop, and quality recording. Real-time work-in-progress tracking, BOM consumption at the unit level, and automatic reporting back to the ERP after each production run.
OEE is the product of Availability, Performance, and Quality. Measuring it requires capturing machine stop events, actual versus target cycle times, and reject counts. We build OEE dashboards that pull these values from machine sensors or operator inputs and calculate OEE per line, per shift, and per plant. Shift handover reports, downtime Pareto analysis, and trend views included.

Phoenix Flexibles relied heavily on manual data entry using Excel for finance, inventory, and production tracking. The lack of system integration caused inefficiencies, data inaccuracies, and limited visibility into resource utilization. These issues affected production planning, inventory control, and decision-making, while also complicating export documentation and compliance with international trade requirements.
Microsoft Dynamics NAV was implemented as a centralized ERP to unify finance and inventory management. The ERP was integrated with production to capture raw material consumption at unit and batch level. An EXIM module was installed for export-import documentation and statutory compliance. Sales and quotation workflows were automated to reduce manual error and improve response time to customers.
We build ERP integration layers, Manufacturing Execution Systems, IoT sensor data pipelines, OEE dashboards, warehouse management systems, and production planning applications. We connect custom software to SAP, Oracle, Dynamics 365, and other ERP systems your shop floor already uses. See the live dashboard above for an example of what the connected platform looks like.
Yes. We integrate with SAP via BAPI calls and OData services, Oracle via REST APIs and database connectors, and Microsoft Dynamics 365 via Power Automate and direct API. We map the ERP data model in discovery before writing any custom objects so the integration does not fight the existing system structure.
We use OPC-UA for machine connectivity where the equipment supports it, MQTT for lightweight sensor telemetry, and time-series databases like InfluxDB or TimescaleDB for storing and querying high-frequency production data. The data architecture depends on your machine count, sensor frequency, and whether you need real-time alerting or batch analytics.
OEE is Overall Equipment Effectiveness: Availability times Performance times Quality. In software, this requires capturing machine runtime and downtime events (Availability), actual versus target cycle time per unit (Performance), and defect and reject counts (Quality). We build OEE dashboards that calculate these values per line, per shift, and per plant from machine sensor data or operator inputs.
A standard ERP integration connecting a custom MES or analytics application to SAP or Oracle typically takes 12 to 16 weeks. Timeline depends on the number of integration endpoints, data volume, whether the ERP is on-premises or cloud, and the complexity of domain-specific data transformations. We scope before we quote.
We respond within two business days. No commitment. No pitch.
Submit brief β call within 48 hours β ERP-scoped proposal in 3 days β Sprint 1 starts within 1 week of sign-off