How to reveal hidden tiers in the supply chain?
Apr-1-22 | 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.

How to increase visibility in multi-tier supply chains?
Apr-1-22 | 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.

Should I expand my stores to other cities in 2022?
Mar-24-22 | 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.

Branch expansion with predictive analytics
Mar-24-22 | Predictive location, and foot traffic analytics reveal valuable information that helps retailers to choose the right location when setting up geographic expansion strategies.

Top benefits of Big Data in supply chain management
Mar-22-22 | Big Data brings together data from different applications, infrastructures, third-party sources and emerging technologies such as location analytics to improve decision making in the strategic, tactical and operational processes that make up supply chain management.

Big Data for supply chain sustainability
Mar-22-22 | Big Data is transforming the way leaders manage supply chains across all touch points, from manufacturing and provisioning to logistics and customer service.

How to create the best branch expansion strategy?
Mar-15-22 | 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.

Top 10 Uses Cases of foot traffic in public transport
Mar-15-22 | Foot Traffic analytics can identify the characteristics of transit stops and routes, helping to determine and improve the overall coverage of any transit system.

Footfall analytics for site selection strategies
Mar-8-22 | 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.

Predictive models for maintenance services
Mar-8-22 | Predictive maintenance based on big data and geospatial data seeks to define the best time to perform work on an asset, so that maintenance frequency is as low as possible and reliability is as high as possible without unnecessary costs.

Location Intelligence to build smart cities
Mar-1-22 | Leveraging current and historical data on location movements allows urban planners to understand current challenges and build smart, flexible and efficient cities.

Advertising agencies and Big Data benefits
Mar-1-22 | 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.

Uses and applications of Big Data for Deliveries
Mar-1-22 | Delivery companies leverage location intelligence to have better market capture and maximize customer experience.

Location intelligence in supply chains
Mar-1-22 | 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.

Predictive modeling for site selection strategies
Feb-15-22 | Retailers need to use predictive modeling and combine it with business, customer, and market data in order to forecast sales or new businesses profitability.