Advanced technical solutions known as "smart warehousing systems" use a variety of automation components to boost warehouse efficiency and accuracy. Modern technologies like artificial intelligence, machine learning, edge computing, and the Internet of Things (IoT) have the potential to improve smart warehouse operations by boosting output, lowering errors, and boosting efficiency. As the demand for prompt and effective order fulfillment increases, businesses are turning to smart warehouse solutions to boost overall efficiency and streamline processes. Due to the exponential growth of data generated in modern warehousing processing, cloud-edge-terminal (CET) computing—which represents a paradigm shift in the way data is processed and managed, particularly in the context of the Internet of Things (IoT)—has become the dominant trend for warehousing information technology. In order to maximize cloud-edge-terminal computing speed, data compression is essential. In situations where bandwidth is scarce and data redundancy is high, edge devices can preprocess data by compressing it before transmission, which not only lowers the volume of data transmitted over the network but also improves the effectiveness of data processing in the cloud. Particularly in mission-critical applications, the use of sophisticated compression methods can greatly reduce the data footprint while guaranteeing the preservation of important information. The main objective of this study is to examine the test bed for a smart warehousing system, particularly for e-fulfillment centers, using databases, sensors, communication protocols, and generally accessible development platforms. The smart warehousing system's information and communication technology (ICT) will be examined, with a focus on areas like computation, data transfer, and imaging processing that might profit from data compression. The results have several ramifications: they can be used to develop ICT for SMEs using easily accessible technologies, establish a paradigm for future research into the smart warehousing system, and enhance ICT performance in general, including data processing and transfer in smart warehousing environments.