Abstract: Indoor positioning information provide location detail records (LDRs), which are visualized on a map to show a shopper's path through a given store. However, LDR often provides an incomplete picture of a shopper's true journey through a store. Thus, gaps in LDR data are augmented, or filled in, using a routing engine based on point of sale (POS) transaction data to connect the last known position from the first event to first known position from second event, and so on for all the LDR records. If the last LDR doesn't end at the checkout or exit, a final route to a checkout stand used is appended to the last LDR sequence signifying the end of the shopping journey. Dwells are determined based on position data from the LDRs of selected shoppers over a selected period of time. There might not be POS data, but if there is, the LDR data is augmented with positions as determined by the location of each product purchased—filling in all gaps with a routing service.

Abstract: Shopper traffic flow is determined based on a filtered set of point of sale (POS) transaction data. A location analytics system determines a presumed best route taken by a customer upon entrance to the store, in walking between each item purchased, and then to the checkout stand. A determination is generated based on filtered parameters to provide visualization of shopper traffic flow in a retail location. Filtered parameters include shoppers for a specific item, or specific brand, to generate a determination as to where those particular shoppers dwelled and experienced impressions. The location analytics server generates visibility into spatial product relationships based on real, POS purchase data, and based on spatial layout data for a given store.