A MULTI-CRITERIA DECISION-MAKING APPROACH TO TRANSPORT AND LOGISTICS BASED ON BUSINESS INTELLIGENCE
DOI:
https://doi.org/10.58213/vidhyayana.v8i5.684Keywords:
MCDM- Multi-Criteria Decision making, Transport, Logistics, Business Intelligence, TrendsAbstract
In an ever-evolving world, transport and logistics businesses are facing a variety of challenges. From changing customer expectations to competition from large e-commerce players, the industry is being pushed to its limits. The current study can make revolutionize the industry which has the great potentiality for business with BI. Fortunately, business intelligence can give transport and logistics companies the necessary insights they need to thrive. In this article, we have explored how business intelligence (BI) can help transport and logistics companies stay competitive in today's market. Study objectives include identifying ways to streamline transportation and logistics operations, reduce costs, and enhance overall efficiency. The study evaluates the BI technologies available, as well as how they can improve operations, reduce costs, and increase customer satisfaction. Business intelligence is a tool that has become invaluable in many industries, and transport and logistics are no exception. Business intelligence allows companies to collect data on their operations, analyze it, and gain insights into their operations in order to make better decisions. This study will explore how BI can be used in the industry to optimize operations, reduce costs, and improve customer service. The study findings indicate that the Business intelligence tools give transport and logistics companies the ability to see their operations in a new light, understand their customers better, and make informed decisions that drive to succeed. A data quality issue and high implementation costs are two major factors that pose challenges when using business intelligence (BI) tools, since accurate and reliable data is essential for generating insightful insights and making informed decisions.
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