## 2 Literature Review
### Data Analysis  
In this section, from Figures 2-5, the set of data analyzed is a result of the first filter \"126 Documents\" from 2018 to 2022, which will help us get an overview of recent studies in the field of intelligent logistics. According to our latest use of the Scopus database, the results below are from the date 24 February 2022. \begin{table}
\begin{tabular}{l l l} \hline \hline
**Title** & **Authors** & **Level of Appropriatness** \\ \hline
39. & Using Industry 4.0 concepts and theory of systems for improving company supply chain: the example of a joinery & [PERSON] & High \\
40. & Smart Logistics: study of the application of blockchain technology & [PERSON] [PERSON]; [PERSON]; [PERSON]; and & High \\
41. & Planning guideline and maturity model for intra-Logistics 4.0 in SME & [PERSON]; [PERSON] & Low \\
42. & Striving for excellence in ai implementation: Ai maturity model framework and preliminary research results & [PERSON]; [PERSON]; [PERSON]; and [PERSON] & Low \\
43. & Integration of LiFi technology in an Industry 4.0 learning factory & [PERSON]; [PERSON]; and [PERSON] & Low \\
44. & Industry 4.0 and service com-panies: the case of the French postal service & [PERSON]; [PERSON]; [PERSON]; (...); & High \\
45. & Design and application of Internet of Things-based warehouse management system for Smart Logistics & [PERSON]; [PERSON]; [PERSON]; [PERSON]; & High \\
46. & Using sensor-based quality data in automotive supply chains & [PERSON]; [PERSON]; [PERSON]; & Low \\
47. & Conception of logistics management system for smart factory & [PERSON]; [PERSON]; [PERSON]; & High \\ \hline \hline \end{tabular}
\end{table} 
Table 3: Cont. Interestingly, in Figure 2, the peak of 2020 is intrinsically related to the momentum of the COVID-19 pandemic; much more attention has been paid to Industry 4.0 and consequently to Logistics 4.0, which further proves that the two paradigms are closely linked. As for the low rate perceived in 2022, it comes down to the fact that we are still at the start of the year; these results will inevitably fluctuate, and they are worth researching. Figure 3 represents the breakdown of the first set of data that resulted from the initial filter; out of the 126 documents, 60 are from conferences, while 49 are from journal articles; what remains is divided between book chapter, book, and review. Figure 4 is a portrait of the main geographical distribution of the articles published. We notice two interesting points: the first is a concentration on the European continent (Italy taking the lead, followed by Poland then Austria), whereas Germany is in the top 5; the second is the lack of representation on the North American continent, which leads us to validate that the terminology chosen for our study raises a limit. Figure 3: A breakdown of publications by type of document. Figure 2: A view of Logistics 4.0-related publications within the last 5 years. On the other hand, to inspect the global trend about Logistics 4.0, a quick overview of the interest in Logistics 4.0 on google trend was sufficient; in the last five years, Germany has been ranked first, with a value of 100, which indicates the popularity of the specific term, followed by India with a value of 44 and then the United States with a value of 19. This classification leans on the scientific interests of the researchers of these countries, for example, German researchers have more publications on the concepts of smart factories and intelligent plants, and Americans focus more on Industrial IoT. These results do not in any way prove that Logistics 4.0 is not a subject discussed scientifically in other countries besides Germany, they just show that the browser does not have enough data. In Figure 5, we find the areas most represented by scientific research related to the Logistics 4.0 paradigm.