Abstract: A device for thermal control of a battery system includes a heating control module electrically connected to the battery system and a conversion device configured to control power output from the battery system. The heating control module is configured to measure a current through the conversion device, the measured current provided by the battery system of a vehicle during vehicle operation or provided by an energy source during vehicle charging. The heating control module is also configured to control the conversion device to generate an alternating current (AC) heating current using the measured current, and apply the AC heating current to the battery system to heat the battery system to a desired temperature.

Abstract: A system and method of zone tracking for delivery of media to customers within a store is disclosed. Zone tracking enables targeting of media to at least one electronic device both in the presence of as well as in the absence of customer triggers by monitoring the physical location of the electronic device associated with the customer in the store. The zone tracking system and method preferably use a combination of at least one location-tracking server and at least one access point to track a customer's present location within a store as well as items in the vicinity of the customer.

Abstract: The system and method described herein may be used to make a binary determination of whether to initiate an in-trip audit of self-scans in a self-checkout system. For example, the system may receive one or more audit parameters that are used to calculate an audit score. The audit score may be compared to a predefined audit threshold to determine, during a shopping trip, whether to initiate the in-trip audit. After or in combination with making the binary determination, the system may make a probabilistic determination of whether to initiate an audit based on historical audit points associated with the shopper. The audit points are incremented or decremented based on prior audits and other characteristics of the shopper.

Abstract: A media targeting system may be configured to coordinate media and manage media conflicts in its delivery to consumers. The media targeting system may in near real-time arbitrate between all offers assigned to a particular consumer or available to the consumer via one or more channels to ensure that a consumer only receives non-conflicting offers during particular time periods. The media targeting system may translate offers into a real-time, in-store loyalty environment including consumer real-time behavior assignment into traits in order to make a real-time offer assignment based on the traits.

Abstract: The system and method described herein may be used to make a binary determination of whether to initiate an in-trip audit of self-scans in a self-checkout system. For example, the system may receive one or more audit parameters that are used to calculate an audit score. The audit score may be compared to a predefined audit threshold to determine, during a shopping trip, whether to initiate the in-trip audit. After or in combination with making the binary determination, the system may make a probabilistic determination of whether to initiate an audit based on historical audit points associated with the shopper. The audit points are incremented or decremented based on prior audits and other characteristics of the shopper.

Abstract: A system and method of zone tracking for delivery of media to customers within a store is disclosed. Zone tracking enables targeting of media to at least one electronic device both in the presence of as well as in the absence of customer triggers by monitoring the physical location of the electronic device associated with the customer in the store. The zone tracking system and method preferably use a combination of at least one location-tracking server and at least one access point to track a customer's present location within a store as well as items in the vicinity of the customer.

Abstract: A media targeting system may be configured to coordinate media and manage media conflicts in its delivery to consumers. The media targeting system may in near real-time arbitrate between all offers assigned to a particular consumer or available to the consumer via one or more channels to ensure that a consumer only receives non-conflicting offers during particular time periods. The media targeting system may translate offers into a real-time, in-store loyalty environment including consumer real-time behavior assignment into traits in order to make a real-time offer assignment based on the traits.

Abstract: The invention relates to systems and methods of selective auditing of mobile commerce baskets based on real-time behavior, profile information, event information, and/or other information in self-scan and other self-serve retail systems. The system may make a comprehensive, real-time, audit decision based on various risk factors that indicate a probability that a given shopping trip in a self-scan system includes a scan error. The audit decision may be parameterized such that different risk factors may be considered and weighted/prioritized with respect to other risk factors. For example, audit parameters may be used to determine which risk factors are used when processing the audit decision. The system may keep track of purchases, audits, and audit results in order to provide real-time reports and analytics. The system may also model audit decisions such that audit decisions may be simulated for a one or more retail locations during different time periods.

Abstract: A media targeting system may be configured to coordinate media and manage media conflicts in its delivery to consumers. The media targeting system may in near real-time arbitrate between all offers assigned to a particular consumer or available to the consumer via one or more channels to ensure that a consumer only receives non-conflicting offers during particular time periods. The media targeting system may translate offers into a real-time, in-store loyalty environment including consumer real-time behavior assignment into traits in order to make a real-time offer assignment based on the traits.

Abstract: The system and method described herein may be used to make a binary determination of whether to initiate an in-trip audit of self-scans in a self-checkout system. For example, the system may receive one or more audit parameters that are used to calculate an audit score. The audit score may be compared to a predefined audit threshold to determine, during a shopping trip, whether to initiate the in-trip audit. After or in combination with making the binary determination, the system may make a probabilistic determination of whether to initiate an audit based on historical audit points associated with the shopper. The audit points are incremented or decremented based on prior audits and other characteristics of the shopper.

Abstract: The invention relates to systems and methods of selective auditing of mobile commerce baskets based on real-time behavior, profile information, event information, and/or other information in self-scan and other self-serve retail systems. The system may make a comprehensive, real-time, audit decision based on various risk factors that indicate a probability that a given shopping trip in a self-scan system includes a scan error. The audit decision may be parameterized such that different risk factors may be considered and weighted/prioritized with respect to other risk factors. For example, audit parameters may be used to determine which risk factors are used when processing the audit decision. The system may keep track of purchases, audits, and audit results in order to provide real-time reports and analytics. The system may also model audit decisions such that audit decisions may be simulated for a one or more retail locations during different time periods.

Abstract: The system and method described herein may be used to make a binary determination of whether to initiate an in-trip audit of self-scans in a self-checkout system. For example, the system may receive one or more audit parameters that are used to calculate an audit score. The audit score may be compared to a predefined audit threshold to determine, during a shopping trip, whether to initiate the in-trip audit. After or in combination with making the binary determination, the system may make a probabilistic determination of whether to initiate an audit based on historical audit points associated with the shopper. The audit points are incremented or decremented based on prior audits and other characteristics of the shopper.