Introduction Of Logistics & Transportation

In recent years, the fields of Logistics and Transportation have encountered numerous challenges related to e-commerce, sensor-generated data, GPS, and other devices. However, the vast amount of data generated from these sources makes the process of analyzing and managing it quite cumbersome. 

To address these challenges, several analytical tools and software have been developed, including Big data analysis, Machine Learning algorithms, Data Science techniques, and Artificial Intelligence algorithms and patterns. By utilizing these emerging technologies, it is now possible to conduct effective analytics in Logistics and Transportation. This article aims to provide insights on how to achieve successful analytics in these fields.

Logistics and Transportation:

  • Logistics and Transportation refer to the processes involved in managing and moving manufactured goods from their source to the end users. 
  • Transportation involves physically moving goods via various means such as rail, road, air, sea, and pipeline. 
  • On the other hand, Logistics deals with the management of inward and outward goods, including obtaining, producing, and distributing the right products with the right quality to the end-users.
  • Logistics plays a vital role in planning and managing the storage of goods and distributing those stored products to the market at the right time using proper transport options. 
  • The responsibilities of Logistics managers include decision-making strategies in packaging the products, containerization, documentation of product packed details, regulations and protocols for importing and exporting, and risk assessments, as well as communication with vendors and partners.
  • In contrast, the primary responsibility of Transportation managers is to make decisions based on the transporting features and goods’ lifetime while transporting from one source to another destination. 
  • Therefore, while Logistics and Transportation are related, they have different roles and responsibilities in the supply chain.

Logistics and transportation analytics:

  • Analytics plays a vital role in the success of logistics and transportation organizations by helping them prioritize their operations and efficiently deliver goods to end-users. 
  • These analytical techniques also enable organizations to gain insights into customer needs and preferences, market trends, supply and demand values, delivery efficiency, estimated delivery times, and customer satisfaction, all of which are crucial for running such organizations.
  • One of the primary techniques used in logistics and transportation analytics is transportation efficiency analysis. This involves measuring the average efficiency of the movement of shipments from source to destination, which helps organizations identify areas for improvement in their logistics processes. 
  • By analyzing the turnaround time, or the time it takes to load goods, reload them onto transportation, restock, and fuel details required to reach the destination, organizations can optimize their processes and reduce delivery times.
  • Freight and shipment zone estimation is another important technique in logistics and transportation analytics. By estimating how shipments occur from source to destination through various transportation modes and how they reach their final destination, organizations can identify the most efficient transportation routes and modes. This helps reduce transportation costs and improve delivery efficiency.
  • Financial management is also a crucial aspect of logistics and transportation analytics. By managing logistics and transportation costs, organizations can optimize their financial status and reduce losses. 
  • Operational performance management involves tracking and monitoring all operations that occur in logistics and transportation processes, which helps identify potential bottlenecks or issues and address them proactively.
  • Finally, sales and marketing analysis play a crucial role in logistics and transportation analytics by providing insights into customer needs and preferences. 

By analyzing customer data and identifying market trends, organizations can supply the right stocks to the right markets, thereby increasing sales and customer satisfaction. Overall, these techniques help logistics and transportation organizations improve their operations, increase profitability, and provide better customer experiences.

Boosting Transportation & Logistics:

  • Statistical Consultancy offers support in enhancing transportation through the use of advanced analytical methodologies and emerging technologies such as Machine Learning, IoT, Artificial Intelligence, Data Science, and Deep Learning. 
  • Our team consists of experienced and knowledgeable professionals who are certified in these technologies. 
  • We provide end-to-end research services using the latest tools and software in analytics, as well as programming languages. 
  • With our expertise, we ensure the successful implementation of the research process.


In today’s world of multinational industry and goods, where products are manufactured in one country, assembled in another, and consumed in yet another, supply chain and logistics have become increasingly relevant. Transportation, manufacturing, supply chain, warehousing, management system, and production planning are the backbone of any economy.

This sector is experiencing a period of rapid and unexpected change, and the future of logistics will be shaped by innovation and technology. Ideas that were once considered science fiction, such as 3D printing, the Internet of Things (IoT), drone transport, and virtual reality, are now paving the way for the future of transportation.

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In general, Statistical logistics is the detailed planning and execution of a complex process. In fact, logistics manages the  flow of goods between the stage of origin and the point of consumption in order to meet the needs of clients or corporations.

  • We assisted the complex statistical logistics industry to improve their operational rate, accuracy, and dependability when it comes to transport of goods by providing statistical services.
  • Business metrics have been tactically deployed in the logistical arena resulting in significant benefits for freight forwarders, 3PLs, 4PLs, shipping agents, shipping ports, airports, rail depots and regulatory bodies. Logistics is a natural process that generates a lot of data.
  • Our company’s success completely depends on a talented team and a great culture. We recruit, instruct, and collaborate with the smartest people in logistics and beyond. We create accountability for ourselves and our team through our set of core principles. Bringing out the best in our employees and ourselves.

Inside this, The data refers to:

  • Data scheduling
  • Tariff information for cargo
  • Data ordering
  • Data on billing
  • Data for servicing
  • Data for fleet mapping
  • Data on asset management
  • Data on RF integration
  • Data storage and allocation

Whereas most of the organizations collect and  archive data generated in this manner, such data is only used in operational processes. Logistics companies rarely use the vast amount of archived data to maximize their output. We connect this vast data archive and implement business analytics with the goal of driving an improved supply chain process and ensuring customer satisfaction, all while spending a fraction of what they normally do.

Our products and services:

Cost Saving Analytics:

  • Fleet maintenance is one of the most visible areas in logistics where costs can be significantly reduced.
  • Large logistics organizations have a huge fleet of vehicles that require timely servicing and a massive fleet means a large maintenance budget.   
  • We were able to significantly reduce logistic organizations cost of maintenance by gauging and developing favorable schedules for preventive maintenance by introducing business analytics.
  • The advantage of this strategy is that it enables logistic companies to prevent unnecessary servicing while still performing maintenance as needed and at pre-determined intervals.
  • It is possible to compare repair methods and develop a cost-effective strategy using business analytics.
  • We also use business intelligence to undertake root-cause analysis to reduce potential fleet breakdowns.
  • In addition, we employ real-time big data business metrics and AI algorithms to activate & execute predictive maintenance but also to avoid field breakdowns.

Workers Planning Analytics

  • We have been able to assist logistic firms in allocating their resources appropriately by implementing business analytics.
  • Statistical analytical techniques have been wisely used to maximize available resources by gaining a better understanding of their behavior and performance patterns.
  • The findings of this analysis have been used efficiently by the HR professionals to increase the overall productivity of individual materials.

Risk Analytics

  • Claim frequency and severity prediction modeling
  • Credit evaluation
  • Detection and prediction of fraud
  • Prediction of foreclosure
  • Structures of evaluation
  • Analysis of loss ratios
  • Pricing based on risk
  • FDA trial statistical analysis
  • Risk Modeling value 
  • Elasticity/severity/scenario
  • Analysis of Collection and Recovery
  • Extreme event simulation
  • Analytics for supply  chains