OCCUPi Dashboard takes occupancy management and control to an entirely new level through an incredibly accurate reporting and control system based upon AI and machine learning. It allows regional managers and directors to view a range of metrics and quickly compare them from store to store across their retail network.
Dashboard provides graphical representation of current occupancy levels, it indicates whether or not maximum occupancy was reached, and if so for how long, along with the number of people that have entered and exited through user editable date ranges, which poll and extract data from on-site Occupi control units. It also displays occupancy percentage allowing management and senior decision makers to assess levels of spare capacity on a store by store basis across their network of outlets.
Through illuminating hot spots, Dashboard can help guide investment, whether by expanding existing locations or through new store placement, so that retailers can absorb all the revenue available in respective locations. The ability to export graphs as a CSV file also allows Occupi metrics to be integrated with point-of-sale (POS) data to determine conversion rates and average spend per customer per store. This can then be compared across regions and territories to assess and monitor performance, delivering actionable retail intelligence with unrivalled accuracy.