We implemented the ML-based solution and helped counter frequent logistics & supply chain issues.
Explore how our implementation of machine learning transforms businesses by upgrading existing tracking systems to effectively counter various challenges. Our case study highlights the power of advanced technology in optimizing business operations and driving success.
About the Industry
The logistics industry is the lifeline that carries business at a steady flow. Right from material handling and production to inventory and warehouse management, all complex operations are handled with a robust supply-chain solution.
Analytics plays a crucial role in the logistics industry. The real-time analysis of tasks, paired with an unparalleled vehicle management system, helps maintain the safety, security, and integrity of the organization. Even trained ML-Models are simplifying the overall functioning of the tasks by phasing out manual operations. With the intervention of high-end business intelligence solutions, reporting and visualization have accelerated the identification and mitigation of challenges in real-time.
About the Client
Our client is an American logistics and supply chain giant. With its presence in more than two hundred and twenty countries, the company has given employment to more than four lakh individuals. The revenue of the organization stands at US$ 70 billion and connects markets that comprise more than 90% of the world’s Gross Domestic Product. This company accounts for 3.6 million shipments daily.
Our client holds an upper hand over its competitors. The service deliverable of the organization is recognized at an enterprise level. As a part of the business expansion, they have opened subsidiaries in major geographic areas. They have also deployed smart IT and analytical solutions for technical excellence.
The following challenges were identified at the enterprise level:
We analyzed the challenges and modeled the solution to overcome roadblocks.
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