Evaluating Information System For Organisational Success Via Financial And Non-Financial Performance

 

Introduction

Information systems are important tools for improving organisational performance from the perspectives of both financial and non-financial performance in today’s world where information is considered as an essential success factor. These systems are important to help companies like DHL in its management of the supply chain and to support strategic decisions that would give it a competitive edge. Controlling performance through performance metrics and KPIs involves the application of modern technologies like; ERP, CRM, AI, and real-time data to keep track relevant parameters such as revenues, operations efficiency, clients’ satisfaction, and employee satisfaction. This paper aims to assess DHL’s information system and how it is integrated in its business processes and offer a point of view on how information system can enhance performance and the sustain long-term improvement.

Factors of DHL’s Success

Overview of Organisation & Industry, Size, and Market Position

DHL is one of the world’s largest international express, mail and logistics company based in Bonn, Germany. The company mainly operates in over 220 countries and territories, and has 580580 employees as of Q1 2025. As of 2024,; DHL saw revenues of 84.2 gross generated from their operations, a 3% YoY growth and had an EBIT of 5.9 billion (Meyer, T., 2025). It is categorized into five divisions: Correspondingly, we examined the Express, Global Forwarding/Freight, Supply Chain, eCommerce, and Post & Parcel sectors of Germany. DHL has an extensive ground coverage and a potent product portfolio that makes it the largest logistics company in terms of revenue.

Figure 1: EBIT of DHL

(Source: https://www.statista.com/statistics/264351/ebit-of-the-deutsche-post-dhl/)

Factors Contributing to DHL’s Success

These include strategic directions, innovations, corporate responsibility and sustainability programs, strong financial position, and process and organizational excellence that breed DHL more competitive in the logistics market.

Strategic Growth Initiatives: Currently, DHL outlined its growth plans to the year 2030 under the “Strategy 2030 – Accelerate Sustainable Growth” and the vision is to achieve a 50% revenue growth by the end of the decade. It proposes consideration of such segments as e-commerce, life sciences, and renewable energy as well as choosing numerous promising countries and regions for development, including India, Southeast Asia, and Mexico (Strategy 2030 DHL 2024).

Digitalization and Automation: Technological advancement in the form of proper adoption of digital technology such as the use of AI, robotic systems among others has improved operation efficiency. According to the case, in 2023, adoption of automation contributed to only 15 percent of the overall picking operations in the organisation believe by DHL supply chain.

Sustainability Leadership: DHL Express has joined the fight against climate change pledging to reach net-zero emissions by the middle of the century. In 2024, the company lowered greenhouse gas emissions to 33.77 million tons of CO₂e, and that is slightly less than the absolute target of 34.9 million tons that had been set by the company. They achieved this through purchase and use of SAFs, transitioning delivery fleet to e-solutions, and effecting change to RE sources.

Financial Resilience: However, looking at the balance sheet, they still achieve a good economic health in 2024 with a free cash flow of €3.0 billion and the dividend remains stable at €1.85 per share. Also in that regard, the company has aimed to up its existing share repurchase program to €6 billion planned by 2026.

Organizational Efficiency: The “Fit for Growth” initiative wants to slash its costs by more than €1bn by 2027, including a socially sustainable cut of approximately 8,000 positions in the country.

Assessment of the Information System & Technologies

Importance of Information Systems in Modern Firms

With the rising access to information technology facilities, information systems (IS) play a critical role for organizations, including DHL for competitiveness and effective functioning. These systems involve capturing, processing, and disseminating real-time data to support decision-making at different organizational levels. IS fundamentals for logistics providers include accurate tracking of shipment and enhancement of the supply chain, identification of the best routes plus improvement of customer satisfaction. When firms adopt new technologies, it becomes easier for them to manage their operations, minimize costs, and adapt to changing conditions in the market.

DHL's Specific Information Systems and Technologies

A number of modern information systems and technologies have been embedded by DHL as part of its efficient solutions:

myDHLi Portal: Thus, this digital customer platform provides visibility and control from the shipments to the customer level. That’s why in 2024, they expanded on the possibilities with a Generative AI-powered virtual assistant and increased usability. currently more than 20,000 users employing myDHLi, detects 450,000 shipments on average per month (Bonn, 2024).

Generative AI in Supply Chain: Smart applications generated by DHL Supply Chain and designed in cooperation with Boston Consulting Group have been introduced in order to improve data handling and analysis. This undertaking seeks to enhance realisation of customer value in a more profound manner as well as exploit operational excellence (Pohl D., 2024).

Orbit Analytics: Due to the use of Orbit Analytics, DHL Freight redesigned the reporting process as it is crucial for strategic decision making and/or improved operations (Shawn-Byers and Byers, S 2025).

Types of Systems, Their Functions, and Impact on Performance

The implementation of these systems has in some ways influenced DHL in particular. Operating on revenues of €84.2 billion in the year 2024, the technological investments of the company had produced an EBIT of €5.9 billion. In this sense, the firm has revolutionized its information system in order to remain a leader in the global logistics industry. DHL uses several information systems, all of them being designed for particular purposes:

Enterprise Resource Planning (ERP): Cohesive organization of basic business procedures that allow efficient communication between departments, units, and individuals. Currently erp systems, deal with the effective management of financial management information, human resources and supply chain and helps to minimize the ineffective cycles.

Customer Relationship Management (CRM): Co-ordinates the customer relations, selling and servicing activities. For DHL, the benefits of CRM systems are as follows: the ability to offer appropriately customized relations and subsequent services to their customers, enhance customers’ satisfaction and loyalty (Schneider M., 2024).

Transportation Management Systems (TMS): Make route planning, freight auditing, and carriers more efficient and effective. By implementation of TMS solutions, the transportation costs have been cut as well as the delivery time by DHL (CNA 2025).

Warehouse Management Systems (WMS): The specific areas of control within the warehouse include managing inventories, customer orders, and employees. WMS improves upon accuracy and productivity of warehousing functions in the company specifically, DHL.

Artificial Intelligence (AI) and Robotics: This makes DHL to adopt automation technologies such as artificial intelligence and robotics to perform the common activities like sorting and even predicting the market trends.

Analysis of the Application of Decision-Making Techniques

Decision-Making Techniques Used at DHL

These decision making techniques are well supported by DHL’s IS, where real-time data is provided for analysis, data predictive resources, and data automation. By leveraging with WMS, TMS, and AI tools, IS offers timely, data-driven decisions, optimizing operation, customer satisfaction, and improvement of driven cross- department. DHL uses a top-down and bottom-up decision making process that involve both conventional and sensational techniques throughout the organization:

Data-Driven Decision-Making: By using the data from Warehouse Management Systems (WMS), Transport Management Systems (TMS) as well as IoT sensors the company is able to turn raw data in to insights (Supply Chain DHL 2025). It helps in making real-time decisions in areas including route optimization and inventory placement improving the supply chain.

Figure 2: Data driven supply chains

(Source: https://transporttmsandlogisticstms.com/big-data-and-e-tms-software-andsoft-big-data-logistics/)

Advanced Analytics: Through data mining, business analytics, and big data solutions, the company goes beyond merely business insight and comprises elements of statistical analysis, predictive modeling, artificial intelligence and machine learning. This way DHL is capable to respond to trends in advance and be able to make strategic decisions (Advanced Analytics 2025).

First Choice Program: This has ability to engage employees in improvement efforts to adopt business improvement structures such as DMAIC (Define, Measure, Analyze, Improve, Control), Lean techniques, Gemba Walks, and Performance Dialogs. Indeed they create the winning culture and engaged employees in operations excellence strategies.

Generative AI Applications: DHL has adopted the generative AI to improve data organization and customer services. More uses include the unique selling of customized business solutions based on information procured about the customer and the use of the patterns acknowledged to enhance business logistics (Supply Chain World magazine 2024).

Appropriateness of Techniques in Measuring and Controlling Activities

The decision making techniques being applied to the operation of DHL are quite appropriate in the accomplishment of operations.

Real-Time Monitoring: A symbiotic relationship between IoT and analytics is that the former makes it possible to monitor assets constantly so that the latter can make early and accurate interferences, which will help uphold the quality of service.

Employee Engagement: The First Choice Full Line Program relieves organizational structures, improves accounting assignment, yet strengthens active involvement in decisions (DHL Strategy 2025).

Predictive Capabilities: Through use of advanced analytics, demands can be foreseen hence minimization of resources used, making it more efficient and cheap to satisfy customer needs.

Recommendations for Additional Decision-Making Techniques

Based on the need to better align with its strategic goals, the following improvements could be made by DHL:

Balanced Scorecard Implementation: Implementing Balanced Scorecard would enable performance measurement on a number of complementary dimensions, aligned with strategic objectives in the financial, customer, internal business process, learning and growth perspectives.

Scenario Planning: Adopting this type of analysis means that DHL would be able to incorporate what-if scenarios; a move that would prove very valuable in cases where the market became volatile.

Decision Support Systems (DSS): DSS may help in carrying out different analyses on large data and supply decision makers with packaged data which can in turn result into better quality decisions in less span of time.

By combining the above additional techniques, DHL will improve on its decision-making capabilities for continued organizational performance in the fast growing global logistics industry.

Analysis of Data for Financial Success

Utilization of Information Systems and Data Sources

DHL uses efficient information systems (IS) and multiple data sources to track and improve its financialassignment. Key systems are Enterprise Resource Planning (ERP), Warehouse Management System (WMS) and Transport Management System (TMS) that capture and analyse operational data on operations costs and revenues in real-time. They make allow DHL to carry out the analysis of the company financial information, the monitoring of KPIs and the strategic decision-making.

Due to AI and ML, the potential to predict demand, set appropriate prices, and distribute resources is possible with the help of DHL. For instance, analytics applied in the area of Artificial Intelligence supports the determination of accurate shipment prognoses and adjustment of the corresponding capacities; this contributes to a sufficient cost optimization and, as a result, growth of the profitability level.

Financial Performance Metrics and Analysis

The DHL Company’s revenue was €84.2 billion in 2024; this quantity was slightly higher than that of the previous year by 3%, which was €81.8 billion. EBIT was €5.9 billion, down from €6.3 billion, a decline of 7.2%. The net profit for the owners, again, was €3.3 billion, which was €0.4 billion lower than €3.7 billion registered in 2023. Earnings per share, namely basic earnings per share, reduced to €2.86 as compared to prior year €3.09 (MarketScreener 2025).

Profit Margin Calculation: Profit Margin = (Net Profit / Revenue) × 100

= (€3.3 billion / €84.2 billion) × 100 ≈ 3.92%

This is down slightly from the early year 2023 profit margin of approximately 4.52% (£3.7 billion / £81.8 billion).

Return on Invested Capital (ROIC): The ROIC projection of DHL for the year 2024 stood at 11.4%, whereas, the industry average stands at 4.5%. This metric measures how effective the business is in putting its capital to work to make profits (Alpha Spread Limited 2025).

Figure 3: Return on Invested Capital for the DHL

(Source: Alpha Spread Limited 2025)

According to the company’s official information to investors DHL Group received an ROIC of 13.7 % for the FY 2024 (DHL Equity Story 2025).

Calculation of ROIC: ROIC is calculated using the formula:

Average Invested Capital= (€57,421million + €60,375million​ ) / 2 = €58,898 million = 58.9 billion

ROIC = (Operating Income (EBIT)×(1−Tax Rate)) / Average Invested Capital

ROIC = (€5.9 billion × (1 − 28.46%)) / 58.9 billion

The current and thus realized Return on Invested Capital (ROIC) for DHL is estimated to be at about 7.17% as from the details provided in this research.

Implications: The ROIC of 7.17 % shows that DHL Group in fact delivered returns higher than its cost of capital which is the basis for creating value for shareholders. This shows good capital management and efficiency, focusing its capital investments on automation, digitisation and building its infrastructure.

Evaluating and enhancing the ROIC is a priority goal of DHL Group since it is a part of managing contracts and remuneration and strategic planning based on Strategy 2030 (DHL ANNUAL REPORT 2024).

Division-wise Performance: They reveal the company’s capacity to sustain topline revenue expansion across its divisions amid some headwinds in certain segments.

Express Division: Sales rose slightly to € 25.1 billion and operating profit was down by 4.5 percent at € 3.08 billion.

Global Forwarding, Freight: The company’s revenue increased to 19.6 billion euros, a 1.8% increase of the prior year, however, the EBIT came down by 24.5% to 1.07 billion euros.

Supply Chain: Revenues have also risen by 4.3% to reach € 17.7 billion while the EBIT has risen to € 1.07 billion, an 11.1% increase.

eCommerce: Group operating revenues also rose 10.2% to €6.96 billion while EBIT edge down to €281 million, a 3.1% fall from the prior year.

Figure 4: Sustainability in figures

(Source: https://group.dhl.com/content/dam/deutschepostdhl/en/media-center/responsibility/dhl-group-sustainability-brochure.pdf.)

Strategic Initiatives: Facing a further increase in its cost base by €1 billion up to 2027, DHL has introduced “Fit for Growth” program. Measures, for instance, include plans to cut around 8,000 positions in Germany, principally to optimize efficiency and tap into sustainable operations. Therefore, DHL has been able to overcome financial challenges through the use of information systems and data analytics to support organizational growth. It means that by refining its operations and improving its operational capabilities and workflow with the help of new technologies DHL shapes long-term financial success.

Metric/Segment	Value
ROIC	7.17%
Express Division Sales	€25.1 billion
Express Division Operating Profit	€3.08 billion (down 4.5%)
Global Forwarding, Freight Revenue	€19.6 billion (up 1.8%)
Global Forwarding, Freight EBIT	€1.07 billion (down 24.5%)
Supply Chain Revenue	€17.7 billion (up 4.3%)
Supply Chain EBIT	€1.07 billion (up 11.1%)
eCommerce Operating Revenue	€6.96 billion (up 10.2%)
eCommerce EBIT	€281 million (down 3.1%)
Cost Increase by 2027	€1 billion
Planned Position Cuts in Germany	~8,000 positions

 

Analysis of Data for Non-Financial Success

Leveraging Information Systems for Non-Financial Metrics

There are various ways in which non-financial performance indicators including customer, employee, and organizational performance are measured and managed through proper IS and technologies used by DHL. These kind of systems help to capture real-time data and understand and control variables as the application of change happens in the organisation.

Customer Satisfaction: DHL seeks VoC through the use of VoC tools and also through client satisfaction surveys. DHL Industry Insights Survey 2024 was carried out in 26 countries and recorded 77 points out of 100, which can be considered slightly higher than the result of the previous year (76). It was also awarded as the Special Award for Promotion of VoC Activities in 2024 due to has made significant efforts in the improving customer feedback activities, mechanisms and programs (Möller P., 2025). Both the VoC platforms of DHL align with the SERVQUAL model, which helps analyse the gaps in service delivery and customer satisfaction levels.

Figure 5: Remarkably High Response Rate

(Source: Möller P., 2025)

Employee Performance: The company commonly undertakes Employee Opinion Surveys every year to measure level of engagement among the DHL staff. This means that in the year 2024 the employee satisfaction level was recorded to be at 82%, thus keeping the company’s desired benchmark above 80%. Further, it secured its Top Employer certification in 69 countries thus acknowledging its emphasized and strong polices towards the development of the company employees (DHL Remuneration Report 2024). The DHL’s Employee Opinion Surveys which can be assessed through the HRIS identifies and focuses on the needs of the employee which reinforces Maslow’s Hierarchy.

Figure 6: Average target achievement in 2024

(Source: DHL Remuneration Report 2024)

The performance management has shown that DHL has achieved most of its 2024 targets because of the integrated information systems in each of its activities. Being real-time, such tools as the financial analytics and the forecasting within the sphere of ERP systems contributed to such financial successes as 125% FCF achievement. Other non-financial drivers; Internet of Things (IoT), sustainability management platforms & Security management solutions which included 123% decarbonization 125% cybersecurity compliance. The actual percentage of the overall engaged employees stands at 113 percent, proving sound implementation of HRIS and feedback systems. Implementing such outcomes depict the various ways that DHL’s data structure helps it to make better decisions, increase its operational value transparency and assist to achieve strategic goals with regard to operation ecosystems and other ESG goals.

Operational Efficiency: For example, DHL uses AI and Machine Learning for developing strategies of delivery routes, as well as to anticipate demand. There was an increase in productivity levels in the following year, in that there was a growth of files FTE with Air Freight by 8% and Ocean Freight by 14%, in accordance to flat staff cost yoy (DHL GROUP INVESTOR RELATIONS 2024). These advancements improve service delivery and the efficiency of healthcare service organizations in terms of cost. Hazards associated with network’s use and DHL’s application of AI and machine learning with regards to Porter’s Value Chain Theory can be considered as follows.

Figure 7: Freight markets continue to recover from 2023 decline

(Source: DHL GROUP INVESTOR RELATIONS 2024)

Examples and Data from 2024

Customer Satisfaction: Customer satisfaction survey of year 2024 showed improvement over the previous year by 1 point as like by its previous year. This can be seen in how DHL has incorporated the aspects of customers feedback collection and utilization through awards (DHL, tokyo Japan, 2024). DHL has a feedback mechanism which is per the Customer Relationship Management (CRM) theory, with the aim of increasing customer satisfaction as well as customer loyalty.
Employee Engagement: Here, by sustaining 82% satisfaction from the employees, it is clear that DHL has sound approaches towards engaging the employees. Being awarded as a Top Employer in several countries proves that the company is willing to ensure that all employees are established in their career (Balleer J., 2024). DHL connection between the employment of HRIS for the supervision of engagement is in accordance with Herzberg’s Motivation-Hygiene Theory since advancement proposed by this theory impacts satisfaction.
Operational Efficiency: These productivity ratios for Air & Ocean Freight have gone up, as it shows the efforts made using Efficient Technologies & Lean Processes. Applying AI and improving the process in DHL corresponds to the Lean Management, which is focused on the elimination of the wastes in the production.

DHL has continued to implement high-level IS integrated to focus on non-financial performance indicators that enable the organization to improve customer satisfaction, individual employee and employee organization commitment, and operation efficiency that has positioned DHL as an industry leader in the logistics industry.

Critical Evaluation

Effectiveness in Decision-Making

IS has been used strategically in DHL for improving decision making processes in its processing centers all across the world. These include Warehouse Management Systems (WMS), Transport Management Systems (TMS), and Enterprise Resource Planning (ERP) that allow real-time data capture and utilizing such data to make definite decisions on aspects including the best routes to follow, the best stock to order, and the best time to order it. Other factors such as use of IoT devices and cloud computing has enhanced visibility and scalability hence enhancing organization’s ability to adapt to changing market demands.

One of the emerging and truly innovative concepts in the logistics industry is the use of data-driven control towers, which is another step toward the assimilation of big data analytics in the company, where DLH shows a consistent efforts to mine for new patterns in the market to enhance its supply chain. These form a control tower to collate vast amounts of information with a view of helping the firm to predict the consumer demand for their products and the corresponding strategy on matter of logistics (DHL International GmbH 2025).

 

Figure 8: Revenue of Deutsche Post DHL Group in 2024, by region

(Source: DHL Group revenue 2025)

The analysis of the information system of DHL group has reveals show shows that it has been effective in the support of strategic decision making though provision of region performances and asset management. For instance, the revenue data of the firm on geographical location like € 21.7 billion from the Germany, € 25 billion for the rest part of the Europe, € 18.3 billion for Americans brings into focus the usefulness of the financial dashboard for contrasting live financials and enterprise data marts (DHL Group revenue 2025). These systems help the leaders of DHL to determine the performance of the region and to define the directions in which the returns are the highest and make the right decisions in case with market entry, pricing policy, and logistics.

Figure 9: Total assets of Deutsche Post DHL Group from 2009 to 2024

(Source: Transportation & Logistics DHL 2025)

Similarly, total assets worth €44.4 billion in 2024 are another area where information systems play a vital role in the company’s financial watching (Transportation and Logistics DHL 2025). Although a decrease in total amount of assets by 2% as compared to the pervious year was observed, internal reporting platforms like the SAP-driven integrated ERP assures identification of the poor-performing assets and subsequent initiation of corrective measures.

Limitations and Challenges

However, with the current IS structure, it is evident that DHL has the following challenges:

Data Integration Complexity: The integration of the data sources and the formats in which the data are collected can complicate the integration process and delay the processing of information. Correlates with the Technology Acceptance Model (TAM), mainly in associated issues of smooth integration and use of the system.

Cybersecurity Risks: The usage of these linked processes and the cloud framework exposes the company’s data to cyber risks, and so stronger security measures have to be put in place. Linked to the RBV, pointing to the fact that to maintain competitiveness, it is necessary to possess secure and valuable IT assets.

Scalability Issues: Thus, an important issue for DHL as it moves forward in its development is the ability of the IS infrastructure to grow with the company while maintaining adequate levels of efficiency. Compared to the Dynamic Capabilities Theory that deals with the issue of having more flexibility in systems to allow for expansion when the business expands.

User Training and Adaptation: The adoption of advanced technologies means that skillful training processes must be carried out to enable the personnel to use the new equipment, which may be costly. Aligned with the Human Capital Theory, stressing on knowledge and training of the personnel when it comes to IT application.

Recommendations for Improvement

These areas can therefore help DHL to improve the effectiveness of the IS solutions to sustain outcomes for this industry and enable the company to maintain a competitiveness in the logistics supply chain. The following are the recommendation to try and meet the challenges;

Enhanced Data Governance: Effective measures for the management of data should be adopted and put into practice for better results of the quality and compatibility of the data.

Investment in Cybersecurity: Placing more focus on advanced security matters and the periodic assessment of the organization’s security can effectively minimize the impact of breaches and poorly secured systems.

Scalable Infrastructure Development: Using modular and cloud-native architecture can make it easier to scale the IS infrastructure to accommodate future developmental changes in an organization.

Comprehensive Training Programs: Training and education programs can be another systematic way of improving the understanding and the ability of users to gain more from the new technologies.

Conclusion

Overall Impact of Information Systems on DHL’s Success

As pointed by the findings, impressive and strong IS have been the primary aspects of DHL’s organisational performance. Several technologies to include; Warehouse Management System (WMS), Transport Management System (TMS), Enterprise Resource Planning (ERP), Artificial Intelligence (AI) and Internet of Things (IoT) have been used by DHL to improve their skills to handle the global logistics challenges.

According to the forecast of DHL group annual report showing the business result of the financial year 2024, the company recorded a turnover of €81.8 billion and the effect of digitization and automation. The integration of AI technologies such as route optimisation, inventory tracking increased efficiency and minimized delivery lead time therefore posing a positive impact to cost and service delivery.

Accordingly, on the basis of expressed prognosis, the company’s basically positive financial results in 2024 with the minimal increase of the revenues up to 84,2 billion €, as lower the EBIT and net profits. Combined with high ROIC of 7.17 %, the result obtained shows efficient management of invested capital. Other areas of accomplishment are customers’ satisfaction (score 77/100), engaged employees (82%), and system improvement with Apogee’s IS, technology, AI, ML, and HRIS for growth and strategic goals.

First Choice Program using other tools like the DMAIC and the Gemba Walks have not been equalled in a way that have not improved employees’ working conditions and the satisfaction of the customers which are both vital factors to form the long term brand image and loyalty. In addition, Generative AI facilitates customer-specific proposals, improving speed of business development and, as a result, boosting customers’ loyalty.

Need for Continuous Improvement

However, DHL cannot afford to sit idly with its current setup of IS infrastructure as the developments have showcased immense potential for growth and improvement. Some of the risks remain to be issues such as data integration, threats from cyber criminals, and the ability to scale the solutions for use by other big corporations. In its attempt to sustain its competitiveness, DHL should:

●       Enhanced Cybersecurity Frameworks

●       Unified Data Management Systems

●       Scalable Cloud-based Infrastructure

●       Ongoing Employee IS Training

It must be noted that current American CIOs have some aspect of environmental sustainability linked to their performance goals with this figure set to rise to 80% by 2027 (McCartney A., 2023). For this reason, DHL’s digital transformation effort must be ongoing and adaptive to the integration of new technologies and consumer trends. DHL’s tremendous success is highly attributed to the use ICT in its organization. These systems not only help in enhancing its financial strength and business efficiency but also place the company at a vantage point in the logistics sector leveraging on the applied technology. Maintaining this edge is set to require a continuous improvement of investment in the IS in the future.

Reference List

Journals

Advanced Analytics 2025. Advanced Analytics, [Online] Accessed from: https://www.dhl.com/us-en/home/innovation-in-logistics/logistics-trend-radar/advanced-analytics.html Accessed on:[8.5.2025]

Alpha Spread Limited 2025. ROIC - Deutsche Post AG (XBER:DHL), [Online] Accessed from: https://www.alphaspread.com/security/xber/dhl/profitability/ratio/return-on-invested-capital Accessed on:[8.5.2025]

Balleer J., 2024. Top Employer 2024: DHL Group confirms its status as one of the best global employers, [Online] Accessed from: https://group.dhl.com/en/media-relations/press-releases/2024/top-employer-2024-dhl-group-confirms-its-status-as-one-of-the-best-global-employers.html  Accessed on:[8.5.2025]

Bonn, 2024. For increased usability and efficiency: myDHLi meets GenAI. [Online] Accessed from: https://group.dhl.com/content/dam/deutschepostdhl/en/media-relations/press-releases/2024/pr-dgf-mydhli-meets-ai-20240516.pdf Accessed on:[8.5.2025]

CNA 2025, DHL to cut 8,000 jobs as part of US$1.1 billion cost-saving strategy, CNA, [Online] Accessed from: https://www.channelnewsasia.com/business/germany-dhl-job-cuts-post-parcel-division-annual-operating-profit-falls-4981446. Accessed on:[8.5.2025]

DHL ANNUAL REPORT 2024. ANNUAL REPORT 2024, [Online] Accessed from: https://group.dhl.com/content/dam/deutschepostdhl/en/media-center/investors/documents/annual-reports/DHL-Group-2024-Annual-Report.pdf. Accessed on:[8.5.2025]

DHL Deliveries 2024. The Most Unusual DHL Deliveries 2024 A special Year-End review of the global market leader in logistics, [Online] Accessed from: https://group.dhl.com/en/media-relations/press-releases/2024/most-unusual-dhl-deliveries-2024.html Accessed on:[8.5.2025]

DHL Equity Story 2025. DHL Group - Equity Story, [Online] Accessed from: https://group.dhl.com/en/investors/equity-story.html Accessed on:[8.5.2025]

DHL GROUP INVESTOR RELATIONS 2024. Q3 2024 RESULTS. [Online] Accessed from: https://group.dhl.com/content/dam/deutschepostdhl/de/media-center/investors/documents/presentations/2024/DHL-Group-Presentation-Q3-2024.pdf  Accessed on:[8.5.2025]

DHL Group revenue 2025, Deutsche Post DHL Group revenue by region 2024, [Online] Accessed from: https://www.statista.com/statistics/316336/revenue-of-deutsche-post-dhl-by-region/ Accessed on:[8.5.2025]

DHL International GmbH 2025, Data-driven decision-making: How analytics powers logistics control towers, [Online] Accessed from: https://lot.dhl.com/data-driven-control-towers/ Accessed on:[8.5.2025]

DHL Remuneration Report 2024. DHL Group 2024, DHL Group – Remuneration report 2024, [Online] Accessed from: https://group.dhl.com/content/dam/deutschepostdhl/en/about-us/about-us-assets/remuneration/dhl-group-remuneration-report-2024.pdf Accessed on:[8.5.2025]

DHL Strategy 2025. First choice, [Online] Accessed from: https://group.dhl.com/en/about-us/the-group/strategy/first-choice.html  Accessed on:[8.5.2025]

DHL, Tokyo Japan, 2024. DHL Express wins Special Award (Promotion of VOC Activities) in Best Customer Support 2024, https://www.dhl.com/jp-en/home/press/press-archive/2024/dhl-express-wins-special-award-in-best-customer-support-2024.html Accessed on:[8.5.2025]

MarketScreener 2025, DHL : FY 2024 Press Release, MarketScreener, [Online] Accessed from: https://www.marketscreener.com/quote/stock/DHL-GROUP-435996/news/DHL-FY-2024-Press-Release-49251858/ Accessed on:[8.5.2025]

McCartney A., 2023. Gartner Top 10 Strategic Technology Trends for 2024, [Online] Accessed from: https://www.gartner.com/en/articles/gartner-top-10-strategic-technology-trends-for-2024. Accessed on:[8.5.2025]

Meyer, T., 2025. DHL Group: Strong fourth quarter with revenue and earnings growth, [Online] Accessed from: https://group.dhl.com/en/media-relations/press-releases/2025/dhl-group-annual-earnings-2024.html Accessed on:[8.5.2025]

Möller P., 2025. “Customer Satisfaction Survey for higher service quality, DHL Freight,” DHL Freight Connections, [Online] Accessed from: https://dhl-freight-connections.com/en/business/customer-satisfaction-survey-at-dhl-freight-valuable-input-for-higher-service-quality/ Accessed on:[8.5.2025]

Pohl D., 2024. DHL Supply Chain implements Generative AI to enhance data management, customer support and proposal accuracy, [Online] Accessed from: https://group.dhl.com/en/media-relations/press-releases/2024/dhl-supply-chain-implements-generative-ai.html Accessed on:[8.5.2025]

Schneider M., 2024. The Most Unusual DHL Deliveries 2024 – A special Year-End review of the global market leader in logistics, [Online] Accessed from: https://group.dhl.com/en/media-relations/press-releases/2024/most-unusual-dhl-deliveries-2024.html Accessed on:[8.5.2025]

Shawn-Byers and Byers, S 2025, From Legacy to Legendary: How DHL Freight Transformed Reporting with Orbit Analytics, [Online] Accessed from: https://erp.today/from-legacy-to-legendary-how-dhl-freight-transformed-reporting-with-orbit-analytics/ Accessed on:[8.5.2025]

Strategy 2030 DHL 2024. DHL Group to accelerate sustainable growth with new Strategy 2030, [Online] Accessed from: https://group.dhl.com/en/media-relations/press-releases/2024/strategy-2030-dhl-group-to-accelerate-sustainable-growth-with-new-strategy-2030.html Accessed on:[8.5.2025]

Supply Chain DHL 2025. Enhanced supply chain Decision-Making, [Online] Accessed from: https://www.dhl.com/gb-en/home/supply-chain/innovations/enhanced-supply-chain-decision-making.html Accessed on:[8.5.2025]

Supply Chain World magazine 2024. DHL’s Strategy for Smarter Customer Solutions with GenAI, Supply Chain World magazine, [Online] Accessed from: https://scw-mag.com/news/dhls-strategy-for-smarter-customer-solutions-with-genai/ Accessed on:[8.5.2025]

Transportation and Logistics DHL 2025, Deutsche Post DHL Group total assets 2009-2024, [Online] Accessed from: https://www.statista.com/statistics/275824/deutsche-post-dhl-total-assets/ Accessed on:[8.5.2025]