what we got wrong about logistics

Wed Dec 21 2022 09:47:09 GMT+0000 (Coordinated Universal Time) - QikTruck Media

What We Got Wrong About Logistics - QikTruck

Logistics has been a key component of the business world for many years. Businesses must be able to move goods and materials from one place to another efficiently and quickly in order to remain profitable and competitive. In recent years, with the advent of new technology, logistics has become even more important and complex. Unfortunately, there have been misconceptions and misunderstandings about logistics that have caused businesses to make mistakes and miss out on potential opportunities. Here, we’ll discuss the key misconceptions about logistics and how to overcome them.

Misconception #1: Logistics is Only About Shipping and Delivery

One of the biggest and most common misconceptions about logistics is that it only involves shipping and delivery. In reality, logistics is much more than just shipping and delivery. Logistics is an integral part of the overall supply chain, covering everything from the procurement of materials to the storage of goods. It also includes the processes needed to move the goods between locations, such as warehousing, packaging, and tracking. Understanding the full scope of logistics is essential if businesses want to maximize efficiency and optimize costs.

Misconception #2: Logistics Isn't Technology Driven

Another misconception about logistics is that it isn't technology driven. This couldn't be further from the truth. In fact, there are many areas of logistics that are supported by technology, such as automated warehousing, inventory tracking, and route optimization. The use of technology in logistics has allowed businesses to reduce costs, save time, and improve overall efficiency.

Misconception #3: Logistics Can Be Managed Without Data Analysis

One of the key aspects of logistics is data analysis. Logistics managers must be able to analyze the data-driven insights to make decisions about how to optimize the supply chain. The analysis of data can help identify areas of inefficiency and provide insights into how to optimize the logistics process. For example, a data analysis may reveal that a certain route is taking more time and resources than necessary, or that a certain warehouse could be more efficient if storage methods were tweaked. Without data analysis, logistics teams will be unable to make informed decisions and optimize their operations.

Misconception #4: Logistics Can be Automated Without AI and ML

The use of Artificial Intelligence (AI) and Machine Learning (ML) have become increasingly important in the logistics industry. AI and ML can be used to automate logistics processes and optimize the supply chain in real-time. For example, AI and ML can be used for automatically re-routing vehicles, or for predicting customer demand and automatically ordering the right amount of inventory. Without AI and ML, logistics teams will be unable to effectively automate their operations and take advantage of the real-time benefits they provide.

Misconception #5: Logistics Can Be Managed Without Predictive Analytics

Predictive analytics is essential for optimizing the logistics process. Predictive analytics enables businesses to anticipate customer demand, plan ahead for potential supply chain disruptions, and optimize their routes. It also helps to identify areas of inefficiency, so businesses can make the necessary adjustments in real-time. Without predictive analytics, businesses will be unable to accurately plan for potential disruptions and optimize their logistics process.


Logistics is an essential part of the business world, and it is important for businesses to understand the complexity of the logistics process and the misconceptions associated with it. By addressing these misconceptions, businesses can ensure that their logistics operations are as efficient and cost-effective as possible.

What is QikTruck Doing to Impact Logistics?

At QikTruck, we are leveraging the latest technologies to revolutionize the way businesses manage their logistics operations. We are leveraging AI and ML to automate the logistics process and enable businesses to optimize their operations in real-time. Our predictive analytics technology enables businesses to anticipate customer demand and plan ahead for potential disruptions. We are also utilizing blockchain technology to securely transfer digital data and create immutable records, ensuring that businesses can track the movement of their goods throughout the entire supply chain. Finally, we are leveraging our cutting-edge software and hardware to enable businesses to monitor and control their logistics operations from anywhere.

QikTruck Approach to Solving Logistics Misconceptions with Code

At QikTruck, we are using a combination of cutting-edge software and hardware technologies to revolutionize the way businesses manage their logistics operations. Our software stack includes Machine Learning, Artificial Intelligence, and Blockchain, which we use to optimize our customers’ logistics operations. Our software works in conjunction with our specialized hardware to provide businesses with an end-to-end solution for their logistics needs. Here is an example of the pseudo-code for one of our logistics solutions: // Initialize variables var customerDemand = 0; var supplyChainDisruptions = 0; var routes = []; // Initialize machine learning model var ml = new MLModel(); // Feed data into ML model ml.feed(data); // Predict customer demand customerDemand = ml.predict(); // Generate routes routes = ml.generateRoutes(customerDemand); // Use Blockchain to securely transfer data supplyChainDisruptions = blockchain.transferData(routes); // Optimize routes routes = ml.optimizeRoutes(routes, supplyChainDisruptions); // Output optimized routes ml.output(routes); By leveraging the latest technologies, we are helping businesses overcome the misconceptions about logistics and take full control of their supply chains.


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