New Patent Invention Uses Location Data to Guess People's Jobs and Discover New Places, Solving Supply Chain Intelligence Problem
In an era where information technology continues to shape our lives, a new patent invention by SOURCEWATER, titled "LOCATION DATA BASED INTELLIGENCE FOR SUPPLY CHAIN INFORMATION PLATFORMS," seeks to revolutionize the way we understand and utilize location data. This groundbreaking invention aims to solve a crucial problem in supply chain intelligence and offer exciting possibilities for various industries.
The core problem this patent aims to solve lies in the transportation and logistical challenges faced by companies in sourcing, recycling, and disposing of water for oilfield exploration and development. Currently, the process involves significant costs associated with vehicular transportation, such as fuel, labor, maintenance, and limited transportation capacities. Moreover, terrain conditions and poor vehicular access often compound these challenges, further increasing costs and hindering efficient operations.
To address these issues, SOURCEWATER's patent proposes a novel approach that utilizes anonymized location data from mobile devices, combined with existing information about specific sites or locations. By gathering data on where individuals go without knowing their identities, this system can identify patterns and infer job functions based on location. Furthermore, this invention harnesses the power of location data to discover new places, contributing to a more comprehensive supply chain intelligence.
Imagine the possibilities once this problem is successfully solved. Companies can employ this patent's technology to better identify and select local water sources, disposal options, and treatment facilities. By utilizing pipelines and optimizing fluid transportation between oilfield facilities, costs associated with vehicular transportation can be mitigated. This opens doors to greater efficiency, reduced expenses, and improved profit margins for the energy industry.
Real-life examples of how this invention could shape our world are abundant. Energy companies will find it easier to source water resources, plan more cost-effective transportation routes, and streamline fluid management processes. Local communities and environmentally sensitive areas surrounding oilfields will benefit from reduced vehicular traffic and minimal disruption caused by transportation activities. In turn, these improvements contribute to enhanced sustainability, as fewer resources are consumed during the transportation process.
Additionally, consumers may find themselves reaping the benefits indirectly. As companies optimize their supply chain processes and reduce costs, these savings may be passed on to the end consumer, resulting in more affordable energy resources and services. The positive impact on the environment and local communities further establishes this patent as a potential game-changer in the energy industry.
It is important to note that, as with any patent, there is no certainty whether this invention will appear in the market or not. While the concept offers immense potential, it will be up to SOURCEWATER and relevant stakeholders to determine its practical implementation and viability.
In summary, SOURCEWATER's new patent invention presents a groundbreaking solution to the supply chain intelligence problem faced by the energy industry. By utilizing location data to infer job functions and discover new places, this technology has the potential to streamline operations, reduce costs, and enhance sustainability. While the patent holds immense promise, further developments and industry adoption will determine its ultimate impact on the energy sector.
P.S. This article is based on a patent recently published by SOURCEWATER. It is important to note that the appearance of a patent does not guarantee its availability in the market or its eventual implementation. The technology mentioned in this article is subject to further developments and considerations by relevant stakeholders in the energy industry.