By Arvind Devaraj, Chief Operating Officer, NICDC Logistics Data Services
Data is a major part of the digital transformation that has taken place in logistics over the years. In India, the logistics ecosystem is very large and very complex because it requires coordination between carriers, shippers, warehouse operators and regulatory authorities. Even though there are many players involved, most of them have historically operated independently of one another, and this creates gaps in the network. Today’s data platforms have the potential to fill these gaps by creating a unified view of the entire logistics process. Understanding what value each of the different types of stakeholders sees within data platforms can help not only in terms of their operational benefits but also can provide insights into the more strategic aspects of a connected supply chain.
Efficiency through visibility
Visibility is extremely important at the initial stage of using data platforms. Visibility allows the operator to know exactly where a shipment is in transit, what condition a vehicle has been kept in, and what the availability of warehouse capacity looks like. Improving the ability to see these key pieces of information enables operators to plan and reduce idle times and to have better route optimisation. From the perspective of small and informal businesses, visibility turns uncertainty into predictability for planning purposes, leading to greater levels of reliable income and fewer disputes.
Logistics Data Bank
The Logistics Data Bank (LDB) is an excellent case of how visibility creates value. The LDB was created to enable the complete tracking of containers. It provides access to a single, reliable view of cargo at any ocean terminal, inland container depot (ICD) or transit corridor. By providing real-time and historical data on how long containers are waiting, and if they are experiencing delays, and their location on the logistics supply chain, the LDB supports and helps port officials, service providers and cargo owners identify and take action to correct problems. For many parties, the value derived from being able to track shipments is the ability to also use data to understand delays at each leg of shipment, increase use of assets and improve logistics; all gaining the end result of financial savings and reliability of service.
Making predictions based on data
Timely delivery of predictive insights supports better decision-making in logistics. Many companies now rely not only on real-time product tracking, such as the time required for goods to move between locations, but also on predictive analytics. By analysing historical transit times for specific lanes across different years, traffic patterns at various times of day, seasonal demand fluctuations and disruptions caused by adverse weather, businesses can estimate probabilities and anticipate potential delays. This predictive data also helps organisations plan warehouse utilisation, schedule maintenance for trucks and carriers, and choose the most cost-effective distribution methods to meet forecasted customer demand, enabling logistics teams to move ahead.
Interoperation and integration
Another significant value is integration. Many logistics participants work together under various regulations. By offering standard formats, enabling interoperability between systems and allowing data sharing across platforms, significant efficiencies are achieved in the logistics industry. For example, connecting vehicle tracking with warehouse management systems enables precise loading and unloading times, reducing fleet idle time and improving efficiency. Integration also supports regulatory compliance by replacing manual processes with automated updates for e-way bills, GST reconciliation and safety compliance, reducing the administrative burden.
Relaying integrated information: ULIP
As part of the National Digital Economy Strategy, the Unified Logistics Interface Platform (ULIP) serves as one Digital Public Infrastructure platform that showcases the true benefits of data integration and interoperability at a national level through an API-based framework for efficient, secure and real-time sharing of information between government systems and private sector organisations who operate within the logistics industry. ULIP is an example of how integrating the operations of many different government entities promotes interoperability across the entire nation. Specifically, ULIP allows for API77-enabled data exchange. The authority, security and ease of access created through ULIP help eliminate duplication of effort and separation of workflows.
Conclusion
Data platforms are more than just tools; they are the catalysts of change for logistics in India. Logistics stakeholders use data platforms for superior visibility, predictive analytics, seamless integration and strategic intelligence. Data platforms create trust, collaboration and informed decision-making across the logistics ecosystem, going beyond traditional operational efficiencies. With the maturity and growing adoption of data platforms across the logistics industry, the opportunity to create a logistics network that is faster, less expensive, smarter, more resilient and better positioned to meet the logistical needs of a rapidly growing and increasingly interconnected global economy is evident.
