Big Data is transforming the way leaders manage supply chains across all touch points, from manufacturing and provisioning to logistics and customer service.
What is Big Data applied to supply chain?
The application of Big Data for supply chain sustainability is the application of high-level intelligence derived from an organization’s data analytics of its operational processes, from procurement and processing to inventory management, distribution, etc., providing a basis for automation efforts and continuous improvement of logistics operations. Read the complete article here
Logistics managers need to implement location intelligence in supply chains in order to reduce delays, keep costs down, generate a competitive advantage, and thereby improve the global network of multiple carriers, service providers and physical locations from the constant threat of unexpected problems.
By leveraging location intelligence, decision makers gain deeper insight into market trends, consumer behaviors, foot traffic patterns, manufacturing activity, competitors’ logistics operations and much more.
The use of geospatial data provides deep insight into the logistical, legal, and commercial relationships between corporations and facilities of different companies all over the world.
Location intelligence and foot traffic analytics have revolutionized the way in which businesses generate competitive advantages within the various business sectors, being able to infer the behavior and relationships of companies has become a reality thanks to this type of technological technique.
Location intelligence through techniques based on Big Data collects spatial data in order to improve the decisions made in logistics centers, allowing the use of location and its related data points, creating solutions and optimizing distribution routes.
This new technological tool finds its immediate application in space-dependent businesses, such as delivery and logistics companies. The data collected through infrastructure sensors, cameras and traffic mapping not only allows them to determine the best locations for their businesses, warehouses and centers, but also allows them to know why certain locations have a direct impact on the success or failure of a business.
The current global crisis in supply chains is forcing companies to manage their distribution methods by adopting a proactive approach based on Big Data and advanced analytics.
The supply chain crisis has resulted in restaurant chains and fast food outlets running out of key ingredients (e.g.
COVID-19 and climate change have directly impacted the supply chains of the sectors and industries that generate the most economic output.
Unfortunately, fiction has become reality, and a global pandemic coupled with sudden climate changes have increased these problems worldwide, also due to unforeseen events in logistics routes and the exponential increase in online shopping, forcing industries to increase the load of transportation, vehicles, staff and resources in general.
Unlike historical analytics, predictive supply chain analytics allows you to anticipate and prepare for the future, taking out the conjectures planning processes and improving decision making.
Predictive supply chain analytics use advanced technological tools such as machine learning, geomarketing, data mining that enables organizations to identify hidden patterns, understand market trends, identify demand, establish pricing strategies, achieve a high return on investment, optimize and reduce inventory costs.
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.
As a result of the global trade imbalance that has become evident in the last year and the considerable increase in logistics costs, Guatemalan importers are beginning to look to Brazil as an option to replace purchases from Chinese companies.
In early March of this year, CentralAmericaData reported that as a result of the imbalance faced by world trade flows, shipping lines have changed their routes and prefer to move empty containers to Asia, a situation that at that time already generated shortages and caused increases in transport rates.
Identifying whether in the logistics chain of crates used for beverage transportation there are possible illegitimate uses and detecting the points in the process where theft is more likely to occur, are part of the problems that can be solved through business intelligence methodologies.
Nowadays, companies and work teams make decisions and design their business strategies through data analysis and the use of tailor-made Business Intelligence solutions.
Due to the imbalance in world trade flows, shipping lines have changed their routes and prefer to move empty containers to Asia, a situation that generates shortages and causes increases in freight rates and raw material prices.
In this scenario of new commercial reality, the operating costs of maritime freight have been impacted, since due to the restrictions imposed in several countries around the world, containers have been stranded.
Investment in the construction of new ports is essential for a country like Panama, whose economy depends heavily on the logistics sector, to continue to compete globally in the coming years.
Since nearly one third of Panama's Gross Domestic Product is created by the logistics sector, the development of this productive activity is of great importance for the country.
Mandatory use of low-sulfur fuel by ships, shortage of containers and priority for medical supplies and vaccines will push up sea and air freight costs.
After the difficulties generated by the restrictions imposed by Costa Rica on the entry of cargo from neighboring countries were overcome, the Costa Rican pilots denounce that the authorities of the region, far from applying reciprocal measures, have established "repressive measures."
In Costa Rica, DHL Global plans to expand its storage center in Alajuela, for which it will invest about $5.5 million over the next seven years.
Representatives of the company reported that the investment will include workstations, handling equipment, selective racks, fire protection system, surveillance cameras and security.
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