# Digitalizing Maritime Containers Shipping Companies: Impacts on Their Processes
## 3 Results and Discussion
\begin{table}
\begin{tabular}{l c} \hline \hline
**Application** & **Impact Score** \\ \hline
1.01 UV controlling system & 2 \\
1.02 Autonomous vessels & 2 \\
1.03 Digital twin for AV controlling and maintenance & 2 \\
1.04 Use of robots in complex/hazardous tasks & 2 \\
2.06 Analysis of engine parameters to anticipate issues & 2 \\
2.11 Optimizing maintenance process using digital twin and AI & 2 \\
2.14 Optimizing ship’s operations via AI analysis of operational information & 2 \\
2.21 Using AI to enhance navigation safety & 2 \\
2.22 Using AI to reduce emissions & 2 \\
3.02 Big data analysis for energy efficiency & 2 \\
3.03 Analysis of data on consumption and emissions for bunkering selection & 2 \\
4.03 VR for maintenance & 2 \\
5.01 Container tracking & 2 \\
7.02 Cargo documents management & 2 \\
7.03 Blockchain-based Incoterms & 2 \\ \hline \hline \end{tabular}
\end{table} 
Table 10: Top applications on Quality performance dimension. \begin{table}
\begin{tabular}{l c} \hline \hline
**Application** & **Impact Score** \\ \hline
2.04 Route optimization via AI analysis of client information & 2 \\
3.02 Big data analysis for energy efficiency & 2 \\
3.03 Analysis of data on consumption and emissions for bunkering selection & 2 \\
5.01 Container tracking & 2 \\
7.02 Cargo documents management & 2 \\
7.04 Electronic logbook & 2 \\
8.01 Spare parts using 3 DP & 2 \\
1.04 Use of robots in complex/hazardous tasks & 1.5 \\
2.02 Assessment of ship risks using fuzzy logic & 1.5 \\
2.06 Analysis of engine parameters to anticipate issues & 1.5 \\
2.07 Route optimization via AI analysis of operational information & 1.5 \\
2.13 Analysis of ship structure images to anticipate issues & 1.5 \\
2.14 Optimizing ship’s operations via AI analysis of operational information & 1.5 \\
2.22 Using AI to reduce emissions & 1.5 \\
3.01 Big data algorithm for collision avoidance & 1.5 \\
3.04 ISPS security levels & 1.5 \\
3.06 Big data for ship speed controlling & 1.5 \\
4.03 VR for maintenance & 1.5 \\
5.02 Optimization of equipment usage & 1.5 \\
6.03 Use of eLearning via cloud & 1.5 \\ \hline \hline \end{tabular}
\end{table} 
Table 8: Top applications on Cost performance dimension. \begin{table}
\begin{tabular}{l c} \hline \hline
**Application** & **Impact Score** \\ \hline
1.01 UV controlling system & 0.5 \\
2.03 Pricing market prediction & 0.5 \\
2.05 Client offering optimization via AI analysis of client information & 0.5 \\
2.11 Optimizing maintenance process using digital twin and AI & 0.5 \\
2.16 AI applied to data management and clean & 0.5 \\
6.01 Cloud/Edge platform & 0.5 \\
7.03 Blockchain-based Incoterms & 0.5 \\
1.02 Autonomous vessels & 0 \\
1.03 Digital twin for AV controlling and maintenance & 0 \\
2.08 Process optimization and reengineering using AI & 0 \\
2.10 Fleet dimensioning optimization & 0 \\
2.17 AI applied to competitors tracking and monitoring & 0 \\
2.18 AI applied to business partners tracking and monitoring & 0 \\
2.19 AI applied to providers tracking and monitoring & 0 \\
2.20 AI applied to 3 parties route prediction & 0 \\
3.05 Big data for ship renewal & 0 \\
5.03 Digital twin for training purposes & 0 \\ \hline \hline \end{tabular}
\end{table} 
Table 9: Bottom applications on Cost performance dimension. Moving to the last performance dimension, Flexibility, comparing Table 12 (top performers in Flexibility) and Table 5 (bottom in consolidated score), there is no application in both lists. However, doing the same exercise with bottom applications in Flexibility (Table 13) and top performers in consolidated score (Table 4), there are three applications in both lists: \"1.04 Use of robots in complex/hazardous tasks\", \"3.02 Big data analysis for energy efficiency\", and \"3.03 Analysis of data on consumption and emissions for bunkering selection\", all of them outperforming in the rest of the performance dimensions. To finalize the analysis of results, we identified the 10 applications that can be named as \"quick wins\".