Fujitsu Corporation

Balakrishnan Bhaskaran

Milos Tesanovic

Rajaguru Mudiyanselage Mythri Hunukumbure

David Snelling

Aisha Naseer Butt

A method and associated apparatus () which, based on profiles of shoppers (), along with the time spent by shoppers at each of a plurality of retail establishments, suggest offers most suitable to that particular profile. Shoppers' trails (past and present) are considered in order to generate and update profiles and predict future behavior and offer tailored incentives. For locating shoppers, an active Wi-Fi receiver on a mobile phone or other personal communication device can be identified by an access point () in a shop () by its MAC address as the shopper moves through a shopping centre, even if the device never connects to the access point. It is not necessary to identify the shoppers as named individuals; rather, it is possible to anonymously recognize them based on the MAC address.

Consumer profiling using network connectivity

A decision support system and method of assessing an intervention action in response to a hazard situation. The decision support system outputs information representing the hazard situation by combining data from data sources describing one of the hazard situation and a physical domain including at least one source of real-time data from the physical domain. A simulation is run using rules to predict the behavior of individual agents in response to the hazard situation, where the system selects one action from a set of candidate intervention actions based on the behavior predicted by the agent and tests the selected intervention action by initiating, for each of a predetermined set of possible outcomes of the selected intervention action, an operation to reiterate the simulation with a respective possible outcome as a factor influencing agent behavior.

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Exeter, United Kingdom

Balakrishnan Bhaskaran