Logistics and Operations Management are time-bound areas. So, the supply chain needs to keep running and the goods movement should keep flowing. Data analytics solutions ensure efficient business operations and timely logistics and operations. Here is an article on the different use cases of analytics in Logistics and Operations Management.
The role of Data Analytics in Logistics and Operations
1) Supply Chain Visibility
Analytics solutions track operations across the supply chain and provide a clear visibility of the operations. Consequently, the logistics companies can monitor and track the shipments right from the production phase to the delivery point. Besides, the continuous monitoring helps in enabling better logistics and operations services and an efficient supply chain.
2) Route Optimization
Finding the best routes real time during a package delivery is important. It saves time and precious fuel. Data from multiple sources such as GPS, weather stations, and peer fleet data, helps to determine the most efficient route. Data dashboards are built to track and manage delivery operations efficiently. The interactive dashboards helps to see critical insights and take actions proactively.
3) Performance Analysis and Productivity Enhancement
Monitoring KPIs daily is necessary to constantly identify any inefficiencies in the system. For this reason, analytics solutions indicate delays in logistics and operations procedures, missing items in shipment, and abnormalities in shipments. In addition, predictive analytics solutions are used to forecast the product demand well ahead of time. The customer demand insights enables the logistics companies to anticipate inventory shortage, price fluctuations, and employee shift changes.
Real-time data insights on KPIs helps the companies and partners to improve employee productivity and operational efficiency. As a result, sharing the insights with the stakeholders enables the company to streamline operations and improve the logistics and operations performance.
4) Forecasting of Logistics and Operations
Data analytics solutions acts a digital platform for logistics companies. It enables them to enhance demand-supply matching and handle asset underutilization better. Consequently, the solutions improve the operational clarity and offer better connectivity across networks in the supply chain.
5) Operations Digitalization and Data Governance
Logistics and operations analytics solutions helps in optimizing the price and shipment consolidation. Also, it offers a user-friendly digital front end for customers to manage the operations. Business process automation helps to optimize labor-intensive operations.
Data analytics solutions help the logistic companies to ensure data governance. So, the data is properly validated and organized in a consistent manner across systems. It helps to ensure data integrity and strengthen supply chain partner relations.
Logistics and Operations are important industries in the daily lives of both businesses and consumers. The companies in this industry have started to digitize their operations and leverage the power of data analytics. Are you a logistics company looking for specific big data analytics solutions? We can build the solution customized to your logistics business. Check out Deevita’s big data analytics services and request a FREE demo today.