1、Global Fleet Management Market Trends
According to Statista’s latest survey, from 2020 to 2023, the fleet management market in the logistics transportation industry has grown steadily from $6.62 billion in 2020 to more than $10.3 billion in 2023. Among them, the real-time location tracking market holds the largest share, reaching USD 3.34 billion in 2023. This growth trend reflects the rising demand for fleet management systems worldwide.
With technological advancements and the acceleration of globalization, fleet management has become the key to improving operational efficiency, reducing costs, and improving service quality. The expansion of the fleet management market also shows the importance of data-driven decision-making, especially in the transportation and logistics industry, where real-time tracking and real-time data can enable companies to allocate resources more effectively in response to changing market trends. This article will continue to explore the challenges faced by Taiwan’s transportation and logistics industry in data analysis and data management, provide analysis of key pain points, and propose feasible solutions.
2、Logistics operators analyze pain points
Pain point 1: Frequent urgent order insertion, and it is difficult for the existing system to synchronize delivery information in real time.
Traditional tools are often unable to update customers’ sudden orders in a timely manner, and it is difficult to synchronize information to delivery drivers in real time. For example, when an urgent order needs to be delivered first, it is usually delivered by temporary vehicles or cooperated with other freight companies, or the production line may be expedited to produce, and if the product can be rushed out smoothly, it will be arranged to be shipped in the same batch of vehicles, which makes the efficiency and adaptability of logistics operators in response to emergencies be significantly affected.
Pain point 2: The volume of the goods is different, and it is not easy for Excel to conduct multi-dimensional cross-comparison analysis.
In the logistics industry, loading efficiency is one of the key factors that determine cost and service efficiency. One of the challenges faced by logistics operators is how to effectively stack and maximize the use of truck space when goods are of different volumes. This problem not only affects the cost of transportation, but is also directly related to transport efficiency and energy consumption. Traditional loading methods rely on empirical intuition or Excel records to stack goods, which often fails to ensure optimal space use, resulting in the failure of trucks to maximize the loading rate, thus increasing transportation costs and trips.
3、In Power BI for the logistics transportation industry
In response to the above-mentioned common pain points in the logistics industry, Power BI is a powerful business intelligence data analysis tool that is sufficient to cope with the data analysis of the logistics and transportation industry. The specific advantages can be summarized in the following two points:
Pain point 1: Through the modern data analysis tool of Power BI, automatic order management and real-time data updates can be realized, so as to improve logistics efficiency and adaptability. The application of this technology not only accelerates the flow of information, but also enhances the competitive advantage of enterprises in the highly competitive market.
Pain point 2: Power BI can analyze past loading data and find the most reasonable way to stack goods by simulating different loading strategies. This not only maximizes the loading rate of shipments and reduces the number of trips, but also saves time and money by planning more accurate cargo loading scenarios through predictive analytics.
With Power BI data analysis tools, logistics operators can not only improve operational efficiency, but also stay ahead of the curve in a highly competitive market and achieve greener and more economical transportation solutions.
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