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- Mobile location analytics (MLA) is a type of customer intelligence and refers to technology for retailers, including developing aggregate reports used to reduce waiting times at checkouts, improving store layouts, and understanding consumer shopping patterns. The reports are generated by recognizing the Wi-Fi or Bluetooth addresses of cell phones as they interact with store networks. By seeing the movement of devices, retailers can gather data that will help them optimize such things as floor plan layouts, advertisement placement and checkout lane staffing. MLA products work by capturing a device's MAC address, the unique 12-digit number that is assigned to a specific hardware device. This number can be detected by Wi-Fi or Bluetooth sensors. There are separate MAC addresses for Wi-Fi and Bluetooth. Beacons are also used for MLA purposes and they work with Bluetooth. Through this technology, they are also able to send push notifications. Recently companies started using the combination of Wi-Fi and Bluetooth to improve accuracy and reliability of the MLA devices. The technology works as people walk through stores; the tracking companies find their wireless signal and assign the device a random number. They monitor that number as it moves across the screen and analyze patterns in the data. (en)
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- 9454 (xsd:nonNegativeInteger)
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- Mobile location analytics (MLA) is a type of customer intelligence and refers to technology for retailers, including developing aggregate reports used to reduce waiting times at checkouts, improving store layouts, and understanding consumer shopping patterns. The reports are generated by recognizing the Wi-Fi or Bluetooth addresses of cell phones as they interact with store networks. (en)
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- Mobile location analytics (en)
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