Our client is a US-based machine manufacturing company with multiple production facilities across the globe. They specialize in producing industrial machinery and replacement parts for sectors such as construction, logistics, and heavy engineering. Operating across multiple regions, they manage a vast network of customers and vendors, many of whom transact on credit terms requiring efficient coordination and operational agility.
For years, the client relied on traditional, manual quality inspection systems. While these systems were effective in the past, they struggled to keep pace with the growing need for speed, precision, and scalability. Several pressing issues surfaced:
To resolve the client’s ongoing challenges, we developed and implemented an end-to-end solution rooted in AI, machine learning, and IoT technologies. The aim was to create a smart, scalable infrastructure that modernizes how the client manages quality control, safety, and operational efficiency across all production facilities. Our solution transformed not only their data systems but also empowered their workforce to act faster and more accurately.
By modernizing their systems and workflows, we helped the client detect and prevent quality defects early, reduce waste, and improve safety compliance. This implementation also allowed seamless integration across platforms and provided stakeholders with real-time access to business-critical insights.
Key capabilities provided include:
Manufacturing
AI, Machine learning, Computer vision, IoT platforms
Projects
Technocrats
Products and Solutions
Customers
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