In the maritime industry, rapid and efficient decision-making is often hindered by fragmented and nontransparent data that are typically accessible only to internal data teams.
GML has embarked on a mission to address this issue by utilizing its data insights to bring greater transparency to the global market. However, much of this data is unstructured—spanning fuel pricing trends, compliance information, and port and route insights—making it difficult for external parties to retrieve, understand, and use effectively.
Recognizing the demand among external partners for improved data access and intelligent interpretation capabilities, GML sought a solution to elevate its service offerings. By leveraging recent advances in natural language processing (NLP) and AI-driven data generation, the company aimed to create a unified, user-centric platform capable of transforming vast quantities of data into precise, context-rich insights.
Intellishore guided the development of gmlGPT, a digital agent that provides seamless access to GML’s diverse data assets through an intuitive, conversational interface. Designed with user-centric principles, gmlGPT allows users to ask natural language questions in multiple languages and receive immediate, relevant answers on a range of topics. Born out of AI, gmlGPT continuously improves with the rapid evolvement of new AI models and functionalities, offering increasing cognitive capabilities over time.
The gmlGPT solution was crafted not only to deliver comprehensive insights to external parties but also to ensure data security and user accessibility, hosting the platform in a dedicated, controlled environment. This approach allows external partners with the necessary access permissions to make strategic, data-driven decisions independently, without requiring heavy involvement from GML.
With gmlGPT, Global Maritime Logistics is transforming the role of data in maritime operations. The solution delivers swift, intelligent responses to market shifts and operational demands, unlocking efficiencies and generating deep insights across the supply chain. Through this customer-facing digital agent powered by AI, GML is redefining client engagement within the industry. Customers are initially drawn to the GPT platform for its data insights, but they stay for the continuous interaction, evolving features and innovative benefits GML is actively developing — harnessing the boundless potential of generative AI.
This AI-driven approach not only optimizes GML’s current service offerings but also lays a strong foundation for sustainable growth and evolving client relationships, positioning GML as a future leader within data-driven customer engagement.