Digital Solutions for
Industry & Manufacturing

TangerParts, a precision automotive parts manufacturer based in Tangier's free trade zone, supplied critical components to several European manufacturers including Renault and PSA. The factory faced unplanned production stops costing an average of 180,000 dirhams per incident, with a frequency of 3 to 4 major incidents per month. Maintenance was purely corrective: technicians intervened after breakdowns, leading to prolonged downtime and considerable production losses. Production management relied on Excel files scattered across departments, making data-driven optimization impossible and causing coordination errors between production lines. Automotive manufacturer clients required complete traceability compliant with IATF 16949 standards that the factory could not provide with its manual tools. Energy consumption was neither measured nor optimized, representing a significant financial burden and a failure to meet the company's environmental commitments. Finally, the lack of real-time visibility on raw material inventory regularly caused stockouts impacting delivery timelines.

We deployed a network of over 200 industrial IoT sensors connected via MQTT protocol across all 6 production lines, covering temperature, vibration, hydraulic pressure, energy consumption, and cutting tool wear. This data feeds a real-time React dashboard with interactive D3.js visualizations, providing an instant overview of factory status. Data is stored in InfluxDB, a time-series database optimized for industrial metrics, with 24-month history for trend analysis. Predictive maintenance algorithms developed with scikit-learn analyze equipment degradation patterns and alert maintenance teams 48 to 72 hours before probable failures, allowing interventions to be scheduled during planned downtime. The custom Node.js ERP with a GraphQL API centralizes client order management, raw material inventory with automatic alert thresholds, production planning, and lot-by-lot quality control with full traceability. An automated reporting module generates IATF 16949 compliance documents required by manufacturers. The entire system is containerized with Docker and orchestrated by Kubernetes to ensure high availability, with a CI/CD pipeline enabling zero-downtime deployments.