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The client struggles with fragmented supply chain data from ERP systems, IoT sensors, GPS devices, and external databases, leading to operational inefficiencies, delayed decision-making, and security vulnerabilities. Legacy systems and manual processes hinder real-time visibility, demand forecasting accuracy, and compliance with GDPR regulations.
A mid-sized logistics and transportation company specializing in global forwarding, warehousing, and supply chain management services with an extensive network of distribution centers.
The solution is expected to reduce operational downtime by 20%, improve inventory cost efficiency by 15%, and increase customer retention through 22% faster service delivery. Predictive analytics implementation should yield 27% higher process efficiency while maintaining full regulatory compliance.