A method for detection and use of device identifiers to enhance the security of data transfers between electronic devices. A first electronic device can transmit access data to a second electronic device. The access data can be associated with a first access code that can be generated based at least in part on data representing a device identifier of the first electronic device. A device identifier can uniquely identify the first electronic device from a plurality of electronic devices. Transferring the access data can involve transforming the first access code into a second access code that can include data representing a device identifier associated with the second electronic device. Transforming the first access code into the second access code can facilitate access to a resource associated with the access data for a second user, but not for a first user.

A method for detection and use of device identifiers to enhance the security of data transfers between electronic devices. A first electronic device can transmit access data to a second electronic device. The access data can be associated with a first access code that can be generated based at least in part on data representing a device identifier of the first electronic device. A device identifier can uniquely identify the first electronic device from a plurality of electronic devices. Transferring the access data can involve transforming the first access code into a second access code that can include data representing a device identifier associated with the second electronic device. Transforming the first access code into the second access code can facilitate access to a resource associated with the access data for a second user, but not for a first user.

Methods, apparatuses, and systems for scheduling tasks to field professionals include: storing, in a database, a plurality of records reflecting characteristics associated with completing a set of technical services, wherein information in each record is derived from historical experience of completing each of the technical services; receiving a request for a new technical service associated with a location; and assigning a field professional to perform the new service having determined from information in the database a likelihood that the field professional will complete the new technical service in a single on-site visit at the location.

Methods, apparatuses, and systems for scheduling tasks to field professionals include: storing, in a database, a plurality of records reflecting characteristics associated with completing a set of technical services, wherein information in each record is derived from historical experience of completing each of the technical services; receiving a request for a new technical service associated with a location; and assigning a field professional to perform the new service having determined from information in the database a likelihood that the field professional will complete the new technical service in a single on-site visit at the location.

A ride-share support system includes a getting-on/getting-off point information acquiring unit configured to acquire first getting-on/getting-off point information including a getting-on point or a getting-off point of a first ride-share applicant and second getting-on/getting-off point information including a getting-on point or a getting-off point of a second ride-share applicant, a getting-on/getting-off point distance calculating unit configured to calculate a distance between getting-on/getting-off points which is a distance between the getting-on point or the getting-off point of the first ride-share applicant and the getting-on point or the getting-off point of the second ride-share applicant, and a ride-share matching unit configured to determine ride-sharers of a vehicle by matching a plurality of ride-share applicants while excluding combination of the first ride-share applicant and the second ride-share applicant in a case where the distance between getting-on/getting-off points is equal to or less than a predetermined distance.

A ride-share support system includes a getting-on/getting-off point information acquiring unit configured to acquire first getting-on/getting-off point information including a getting-on point or a getting-off point of a first ride-share applicant and second getting-on/getting-off point information including a getting-on point or a getting-off point of a second ride-share applicant, a getting-on/getting-off point distance calculating unit configured to calculate a distance between getting-on/getting-off points which is a distance between the getting-on point or the getting-off point of the first ride-share applicant and the getting-on point or the getting-off point of the second ride-share applicant, and a ride-share matching unit configured to determine ride-sharers of a vehicle by matching a plurality of ride-share applicants while excluding combination of the first ride-share applicant and the second ride-share applicant in a case where the distance between getting-on/getting-off points is equal to or less than a predetermined distance.

An approach is provided for providing mobility insight data related to shared vehicles for a point of interest (POI). The approach involves retrieving shared vehicle data for the POI. The shared vehicle data indicates one or more shared vehicle events that have occurred, that are occurring at a given time, or a combination thereof within a threshold proximity of the POI. The approach also involves processing the shared vehicle data to determine mobility insight data. The mobility insight data includes a shared vehicle usage pattern, a shared vehicle availability pattern, or a combination thereof under one or more contexts for travel to or from the POI. The approach further involves presenting the mobility insight data in a location-based user interface.

An approach is provided for providing mobility insight data related to shared vehicles for a point of interest (POI). The approach involves retrieving shared vehicle data for the POI. The shared vehicle data indicates one or more shared vehicle events that have occurred, that are occurring at a given time, or a combination thereof within a threshold proximity of the POI. The approach also involves processing the shared vehicle data to determine mobility insight data. The mobility insight data includes a shared vehicle usage pattern, a shared vehicle availability pattern, or a combination thereof under one or more contexts for travel to or from the POI. The approach further involves presenting the mobility insight data in a location-based user interface.

A method for evaluating bids for the purchase of inventory items to optimize bid-generated revenue. The method comprises receiving a bid for an inventory item, the bid comprising a bid price, a specific inventory item that is to be purchased, and a number of inventory items to be purchased. The bid is input into a machine learning algorithm as are features associated with the inventory item and information associated with the bid. The machine learning algorithm analyzes the bid and generates an output to accept or decline the bid. Responsive to that output the bidder is advised whether the bid was accepted or declined.

A method for evaluating bids for the purchase of inventory items to optimize bid-generated revenue. The method comprises receiving a bid for an inventory item, the bid comprising a bid price, a specific inventory item that is to be purchased, and a number of inventory items to be purchased. The bid is input into a machine learning algorithm as are features associated with the inventory item and information associated with the bid. The machine learning algorithm analyzes the bid and generates an output to accept or decline the bid. Responsive to that output the bidder is advised whether the bid was accepted or declined.