Digital Logistics and Data Science

The digital economy is changing the way we live and work. As a result, it is becoming increasingly important to understand how digital technology can be used to improve the efficiency of your supply chain.

But what does digital logistics mean? Building on the concept of “digital transformation”, digital logistics involves using data analytics to improve performance in various areas of your business. For example, you might use data analytics to reduce costs by identifying bottlenecks in your distribution network or identifying new products that could be sold at a lower price point.

Data science will be the new frontier for logistics and supply chain management (SCM) professionals. The rise of digital platforms and shipping containers has led to a massive increase in data volumes, which are now used by both companies and consumers.

The impact of this data revolution is already being felt within the industry, with companies rethinking their approach to business operations and customer relationships.

As a result, logistics professionals are increasingly looking at how they can take advantage of data analytics to improve operational efficiency and customer satisfaction.

Application of Data Science to Logistics

• Increasing forecast accuracy: To acquire more accurate results from forecasting models, more variables and analogies must be considered than with present forecasting techniques, where the mean absolute error is typically above 20%. These techniques include single or multiple regression, time series analysis, etc. By gathering data in real-time and quickly and effectively analyzing data from many sources, data science can help predictions become more accurate.

• Improving operational effectiveness: Two crucial objectives are maintaining operational standards and getting rid of operational inefficiencies. Data is a tool for tracking changes in operations. You may follow and measure KPIs like cost, value, services, and waste over time to avoid crises and take corrective action if you have operational data and data science expertise. This will make taking these measures more efficient and transparent.

• Enhancing your route: Finding the quickest route to a particular point is the process of route optimization. It aids in avoiding issues like the Vehicle Routing Problem (VRP), which entails determining the best path for a vehicle to take to deliver the goods to the consumer. The number of items ordered, the distance between the pick-up and delivery sites, and the frequency of the order, and. are all factors that the route optimization algorithm considers. The nearest car may be located using data science, and the results can be quickly disseminated. The number of orders, the weather, the average speed along the route, the amount of fuel used, and the passing of time can all be used to spot trends. Data science also aids in a more thorough and accurate analysis of travel behavior. Identification of pollutants, noise levels, traffic details, etc., is made possible by the gathering of environmental data using sensors mounted on the vehicles.
• Risk Evaluation: Events and processes that could disrupt the supply chain must be monitored and predicted. By utilizing data, making intelligent disruption predictions, and then notifying the necessary parties, data science aids in the construction of a resilient transport model.

• Client satisfaction: For businesses to retain clients, it is crucial to have access to information about their preferences, likes, and dislikes. However, this information is sometimes fragmented and filled with unnecessary data. Here, the use of Data Science may improve customer service, increase customer loyalty, and provide crystal-clear customer segmentation. CRM methodologies will also advance as a result. Data Science will give a thorough overview of client needs and service quality, which may be used to raise the caliber of the products.

Conclusion

Data Science and Data Analytics will undoubtedly become more important in the logistics sector. Data will be crucial in the future for several purposes, including monitoring compliance, decreasing supply chain bottlenecks, optimizing the supply chain, and minimizing errors. By offering simple solutions and enhancing visibility, analytics will optimize operations, routes, and customer satisfaction. Big data is about to alter logistics. Data is the energy of this century! All you must do is pick a technology partner who can enable you to benefit from the power of data by giving you the tools to do so.

 What TGl Offers

TGL is a technology enabled logistics provider that offers high-quality and affordable services to companies across the globe. As a logistics company, our value lies in our flexibility to provide clients with cost-effective solutions to meet their needs. At TGL, we recognize that each client has different needs and so our experts are always standing by to help you every step of the way. We handle our client’s freight with total transparency. By offering value-added services at affordable prices, we help them to reduce their costs and improve their profit margins.

Get in touch with our experts to discuss your logistics requirements

Email: info@tgl.ng