Most supply chain managers have limited visibility into which of their first-tier suppliers have risks and exposures arising from second and third-tier suppliers. Essentially, they do not know who supplies their Tier 1 suppliers.
Location analytics can identify unknown hidden participants or nodes in supply chains, thus helping to minimize and better control the risks of disruption.
Understanding how a product gets into the hands of customers requires a broad and comprehensive view across the list of all the companies involved in the distribution process, from the factories to the last distributor to the final customer.
Location analytics allows businesses to map their entire supply chain, in order to identify all components that are part of the logistic processes.
Retail store expansion strategies are one of the most fundamental issues for growing retailers. Opening a new store can be a game changer if you get the location right, or your new store could be doomed to failure if the location doesn’t attract enough customers.
In addition to geographical factors, such as transportation accessibility and real estate prices, demographic factors and mobility patterns in the areas of interest play a key role in decision making. These data on population, purchasing power and consumption habits are what generate an optimal expansion strategy.
Predictive location, and foot traffic analytics reveal valuable information that helps retailers to choose the right location when setting up geographic expansion strategies.
How are predictive analytics models used to determine the optimal location for a new facility?
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
To ensure the success of branch expansion strategies for site selection plans, it’s necessary to compare the business model with the the potential market needs and build the corresponding strategy, location and foot traffic analytics are the best tool to do so.
Foot traffic data gives retailers a competitive advantage in site selection by helping to visualize how local market dynamics have changed over a long period of time, uncovering new opportunities and insights in real time that would not necessarily have been evident through more traditional or one-dimensional data sources.
The secret to site selection in such a competitive market is based on the ability to analyze the right data and be able to understand and interpret the site selection strategies of nearby locations to stay ahead of their expansion plans and gain a competitive advantage.
Where? This is the fundamental question that guides any site selection decision.
With advertising analytics based on big data techniques, marketers can quickly determine the effectiveness of each channel and thus adjust their strategies, enabling them to run hyper-targeted campaigns, choosing the right ad content for the appropriate ad networks.
What is it?
This type of analytics refers to the use of data and technology tools that help companies and marketers effectively monitor their marketing efforts to ensure that campaigns are targeted to the right audience and use the right channels for effective communication.
Delivery companies leverage location intelligence to have better market capture and maximize customer experience.
More and more businesses are getting into the product delivery business. This quest, in turn, has led them to need locationintelligence, as it allows them to measure and control various factors critical to the success of their business, or their processes, including real-time traffic updates, delivery address location, routes, among many other things.
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.
In order to optimize advertising costs and maximize revenue, marketing leaders are using spatial data to create geofences in specific areas, allowing them to reach audiences that are more likely to become potential customers.
Location analytics is taking its place as a key tool for identifying what consumers want and need, regardless of their wealth or demographic status. COVID-19 has led to completely unexpected behavioral changes.
How can location intelligence help in the recovery of any type of business?
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.
Micro-mobility analytics improve retailers’ expansion strategies by accurately identifying consumer demographics, understanding customer behavior, and understanding how their competitors are performing.
Micro-mobility is a methodology that combines geospatial data and foot-traffic analytics to solve several problems and improve site selection strategies by helping to understand how people move around specific brick n’ mortar locations, allowing companies to analyze movement patterns around specific locations, such as retail stores, to extract meaningful information.
Location analytics rely on anonymized geospatial data from mobile devices, which can be used to gather information on foot traffic trends and typical profiles of consumers visiting a specific area or zone.
Location intelligence collects and analyzes competitive data, helping to gain a deep understanding of customers, market, and competitor strategy, identifying opportunities that would otherwise be more difficult to recognize.
Recognized Brazilian company of backhoe loaders, telescopic, articulated and other types of cranes looking for companies interested in representing the brand and distributing their machinery in Central America and Mexico. The company manufactures and sells telescopic,...
Operating Company dedicated to the manufacture of gluten-free and sugar-free products, OHNE brand. The OHNE brand has 8 product lines: square bread, sweet...
español
2321
