The manufacturing industry leverages these tools in real time in order to predict and prevent potential problems, thus maximizing the performance of operations and workforce in production plants by collecting, storing and organizing data generated by machines, devices and systems on the production floor.
Predictive models combine the power of Big Data with artificial intelligence and machine learning to understand, monitor and optimize processes.
Geospatial construction, or "geo-construction", uses data from a wide range of focal points, such as location, population and environment, to influence the design and construction of any infrastructure in order to save, time, money and reduce waste.
GIS (Geographic Information Systems) improve the effectiveness of construction planning and design by integrating location information into a single environment.
Location choice has become a critical point in the success or failure of any industry, as it has a great impact on the company's overall risk, as well as on transportation, logistics, salaries, rents and raw materials costs, among others.
Where to locate industrial facilities is one of the most important strategic decisions that companies must make.
The last mile is the journey of a product from the warehouse shelf to the back of a truck and the customer's door, thus being the final step in the operational process, when the package finally arrives at the consumer's door. In addition to being one of the keys to customer satisfaction, last mile delivery is the most problematic part of the shipping process.
It is one of the logistics areas where Big Data can have a real impact on daily operations, offering the opportunity to optimize internal processes and better control external factors, developing qualitative and quantitative improvements in operations, supply chain areas and logistics processes, bringing significant improvements in last mile deliveries.
While an increasing number of companies are extracting value from the proprietary data they generate in business, few are doing so with the perspective of how location data and spatial analytics can improve their business processes and workflows.
The intelligence of data gathered from geographic information systems (GIS) applications helps organizations across industries.
Predictive models are statistical tools that use machine learning supported by Big Data mining to predict and forecast likely future outcomes with the help of historical and existing data by inputting multiple parameters.
They can be used to predict virtually anything containing existing data, in every sector imaginable, from ratings of any program, a customer's next purchase, credit risks, decision making among others.
Through solutions based on advanced mobility data analytics and predictive models, it is possible to identify different types of patterns, needs, strategies or even future consumer trends.
There are hundreds of solutions and analyses that can be performed thanks to mobility data, such as forecasting models, tracking and predictive market models, business intelligence, real estate project evaluations, solutions based on geomarketing, probabilistic models, among others.
In today's digital age, competition in the port sector has led companies to constantly invest in solutions that help them increase productivity and reduce overall costs, consequently, the demand for advanced solutions, such as maritime data analytics, is growing at an impressive rate among commercial shippers and other end users.
The port industry is a complex network of people, countries, and organizations, including shipowners, authorities, classification societies, cargo traders, oil companies, and other businesses, to name just a few. The need to track economic flows in this global supply chain has driven the industry to keep extensive data records.
Through geospatial data analysis techniques, CentralAmericaData carried out an analysis of five Walmart distribution centers in Florida, United States, with the aim of identifying patterns in the supply chains of these five centers and their relationships with commercial establishments and other logistics complexes in the State.
Through this analysis, whose objective is to show how geospatial data science techniques can be applied to solve problems in the logistics sector, the existing relationships between Walmartdistribution centers and their supply sites were identified and characterized, so that different large commercial chains can evaluate and at the same time improve processes in their respective supply chains.
What makes Big Data so useful for many business sectors is the fact that it provides answers to many questions unknown even to the stakeholders themselves. In other words, it provides a more accurate point of reference.
Big data is a term that refers to such large, fast and complex amounts of information that it is difficult or nearly impossible to process them with traditional methods.
By analyzing the large volumes of anonymous data generated by mobile devices, it is possible to establish whether a distribution center has a commercial relationship with other logistics complexes, and even with establishments that serve the end consumer.
Using the most advanced Big Data tools, it is possible to understand the behavior of the supply chains of companies in the retail sector, since by monitoring delivery parts and counting mutual visits between suppliers and vendors, it is possible to identify and establish which are the most important relationships between distribution centers and points of sale to the end consumer, such as stores.
The Panama Maritime Authority extended for a 25-year term and in favor of the Panama Ports Company, the contract for the development, construction, operation, administration and management of container terminals.
The Board of Directors of the Panama Maritime Authority declared itself in permanent session as of May 27, 2021, for the purpose of analyzing compliance with Contract Law No. 5 of January 16, 1997, for the development, construction, operation, administration and management of container, ro-ro, passenger, bulk cargo and general cargo terminals with their respective infrastructure, installations, facilities and physical areas in the Ports of Balboa and Cristobal, between the State and the Panama Ports Company, S.A., according to an official statement.
In Guatemala, according to the air transport union, the project of the new cargo airport to be developed in the Port of San Jose, Escuintla, is unfeasible in operational and commercial terms.
The Central American Bank for Economic Integration approved a $21.4 million extension for the financing of the "Project to Improve the Technical and Operational Capabilities of Puerto Corinto."
This extension brings the total amount guaranteed to $184.6 million, making it the largest investment in the country's port sector in recent decades, informed the Central American Bank for Economic Integration (CABEI).
Refinadora Costarricense de Petroleo S.A. tenders the design and construction of the Pacific Terminal for ship reception and storage at the Barranca Terminal.
Costa Rican Government Purchase 2021LN-000003-0016700102:
"In general terms the work to be developed by the contractor, under the modality Engineering, Procurement and Construction -IPC-, lump sum or lump sum consists of:
O4Bi is a system that allows to control and manage what a company needs: the complete process of development of works, accounts receivable, treasury, banks, sales and accounting.
O4Bi is a very robust system that allows to control and...
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Real Estate Development & Adventure Park Jacó, Costa Rica. Multiple Investment Opportunities Available. The Ocean Ranch eco-residential development is located...
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