Location Data Analytics

Retailers are obtaining actionable insights into customer foot traffic patterns, time spent in store, and repeat visits. This kind of data allows for proximity-based marketing, enabling businesses to make better offers or experiences available to customers at appropriate times.

Hotels are identifying underperforming bar, dining, and spa facilities by comparing guest dwell times and repeat visit rates across properties and date ranges. This also provides opportunities to send location-based promotional offers to guests to improve experiences and engagement rates.

Transport hubs are collecting foot traffic data to better understand queue lengths and wait times at cashier stations and service desks and using this data to improve operational efficiency and staffing during peak busy hours.

Schools and universities are using location analytics for way-finding across large campuses and for first year student orientation; to locate students during school safety incidents; and to better understand foot traffic through libraries, auditoriums, and sports stadiums.

Manufacturers are relying on wireless networks and (BLE) beacons to assist with asset tracking of inventory in warehouses and in identifying the location of key employees on the factory floor if a problem requires their immediate attention.

Sports stadiums, auditoriums, theatres, and other events venues must compete with at-home viewing options and inspire return visits, so they are leveraging wireless networks and location-based services to provide more interactive experiences for fans and attendees.

Hospitals are streamlining clinical workflows and save significant time and money by using wireless location analytics and BLE to track and locate key pieces of medical equipment, optimise inventory levels, and better predict staffing needs at service desks based on historical patterns. Patients and their guests can receive better in-hospital experiences with wayfinding apps and proactive patient alerts.

Theme parks are identifying the most popular rides at different times of the day, providing opportunities to alert visitors of rides nearby with shorter lines and supply wayfinding navigation to help them get there.