Logistics and Supply Chain: Collaborative Workflow for Geospatial Knowledge in the Logistics and Supply Chain Landscape.
The 4th Industrial Revolution is leading to an explosion in the volume of geospatially referenced data linked to value-chains which will help in providing a new understanding of how society behaves and the processes we have created. But data is not the endpoint, and the true value of data lies in its use to derive knowledge and meeting needs. Geospatial knowledge is crucial for solving the world’s greatest challenges, and it is important to place geospatial knowledge at the heart of tomorrow’s sustainable digital society. The complexity of the knowledge ecosystem and the range of use-cases are such that no one organization or company will deliver end-to-end solutions. Partnerships and collaborations across sectors are increasingly becoming commonplace, with a greater need for rewards to be shared across the value-chain. The geospatial ecosystem is growing and evolving, and is more expansive than ever, encompassing the digital ecosystem’s modelling and applications communities, and most industry sectors.
The evolving user demand and the dynamic business environment necessitates a cognitive approach in the logistics and supply chain workflow, through integration of frontier technology including IoT, AI, ML, 5G etc. with geospatial data and technology. The cognitive approach will help in promoting visibility, tracking, and forecasting of products, thereby placing geospatial knowledge at the heart of logistics and supply chain workflow. It is crucial to identify the current state of adoption and integration of geospatial and frontier technology in the Logistics and Supply Chain workflow, along with the challenges and gap areas in order to project the value proposition of a collaborative workflow for geospatial knowledge. The 4th industrial revolution and the dynamic business environment is contributing to the evolving role of all stakeholders in the value chain, and the existing supply-demand relationships should make way for new business and partnership models to leverage the capabilities of all stakeholders for collaborative knowledge creation.
