Traditionally, retailers have employed data analytics to analyse the trends of products sold in the store, the average inventory hold time, predict out of stock instances and enable just-in-time ordering, that helps in minimising inventory costs. More recently, high end technologies like Video Analytics are being employed to analyse number of shoppers, gender and identify areas of congestion within the store. Prioriti AI tracks and analyses the retail data from a Shopper’s point of view. Prioriti’s AI engine processes a typical bill of purchase from a store, generates associated shopper profile, predicts’ their purchase intent given their current context and identifies the most relevant propositions that would be interest to the shopper.
Conventional rule based engines cannot scale to support the hyper-personalised requirements of modern day shoppers, who are spoilt for choice. Prioriti’s Machine Learning and AI engine constantly analyses several dozen parameters and dynamically generates the most relevant match for the specific shopper interests, at that given context.
Accurate indoor positioning is impacted by the multiple environmental factors, more so in a typical Supermarket setup. The diverse nature of the products on display, the material used in the racks, the height of the shelves, number of shoppers in store during busy time, are all factors that affect the indoor positioning accuracy and performance. Prioriti Platform is designed to capture signals from multiple IoT sensors and communication devices including Wi-Fi triangulation, Bluetooth Beacons, UWB signals along with technology available in mobile devices like GPS, gyroscope, accelometer and other capabilities. The Platform employs numerous algorithms to parse the different signals, factor in environmental conditions, eliminate spurious values and accurately identify the shopper in an indoor context
Prioriti Platform is also vendor agnostic and can utilise existing IoT Sensors and Communication devices that have already been deployed by the store, or incorporate the various vendor components that may be needed for specific conditions or customer requirements