Third-Party Tools Signal Demand for Real-Time Tracking APIs

The demand for real-time tracking APIs reflects a broader industry shift that began with the standardization of shipping containers in 1956 and has evolved to include GPS and IoT sensors for granular, real-time data. This technological progression has moved shipper expectations from manual, error-prone updates to a demand for constant, automated visibility. The global supply chain and logistics market is projected to reach nearly $13 trillion by 2027, with much of that growth fueled by the demand for greater transparency and efficiency in shipping operations. Maersk has responded to this demand by creating a developer portal that offers RESTful APIs for direct integration into enterprise systems. These APIs provide real-time data on container locations, status updates, and estimated times of arrival. Maersk's strategy is to enable businesses to automate their logistics processes, which can lead to significant cost and time savings. For platform engineering leaders, the challenge is to build and manage API products that meet these evolving enterprise expectations. A key decision is whether to build a custom integration, which can cost anywhere from $50,000 to over $150,000 per year for each integration, or to use existing platforms. A platform-as-a-product approach, where the internal platform is treated like a commercial product with developers as customers, is crucial for success. This requires a team with a blend of development, operations, and product management skills. From a technical leadership perspective, designing these APIs involves a focus on scalability, security, and a positive developer experience. Best practices include using clear and consistent naming conventions, implementing robust error handling, and versioning the API from the start to avoid breaking changes for consumers. For real-time data, this can mean designing for response times under 30 milliseconds and implementing efficient data handling techniques like pagination and filtering. Security measures such as token-based authentication (like JWTs) and OAuth 2.0 are also critical. The integration of AI and machine learning is becoming a key factor in managing the complexity of these API ecosystems. AI can be used for anomaly detection in API traffic, predictive analytics to anticipate and prevent disruptions, and to provide smarter, more efficient observability. For instance, machine learning models can analyze historical data to predict usage spikes and automatically scale infrastructure to meet demand. This move towards AI-driven API management allows organizations to create more adaptive and intelligent systems. For those on a management track, building a successful platform team requires a shift in mindset from traditional operations to a product-focused approach that prioritizes the developer experience. This involves creating "golden paths" – curated tools and templates that simplify common tasks for developers. A successful developer relations (DevRel) program is also essential for gathering feedback and building a strong community around the API platform. This involves actively listening to developers through channels like surveys, community forums, and direct interviews to understand their needs and pain points. From an investment perspective, Maersk's financial performance reflects the broader trends in the shipping industry. The company reported a revenue of $54.0 billion in 2025 and anticipates global container market volume growth of 2-4% in 2026. Strategic investments in technology and integrated logistics are central to their efforts to improve profitability in a market facing challenges like overcapacity and shifting trade patterns. The company's stock (MAERSK B) has outperformed the Danish Shipping industry over the past year.