An information providing device includes: a reception unit configured to receive current location information on a transportable power supply device from the transportable power supply device that supplies power to an electric apparatus detachably connected thereto; an information generation unit configured to generate use place information indicating a place of use of the transportable power supply device based on the received current location information; and a transmission unit configured to transmit the use place information to a service provider's terminal. The reception unit receives information on the electric apparatus connected to the transportable power supply device from the transportable power supply device. The use place information includes information on a type of the electric apparatus connected to the transportable power supply device.

A computer-implemented method includes: obtaining first environmental factor data of a first time period and first historical payment data of a target Internet of Things (IoT) device in the first time period, in which the first time period is before a first time point; obtaining second environmental factor data of a second time period that is after the first time point; and obtaining a prediction, using a neural network model, operating on at least one computing device, of an estimated statistical distribution of one or more users who execute transactions using the target IoT device in the second time period, in which the first environmental factor data, the first historical payment data, and the second environment factor data are inputs to the neural network model.

The disclosed computer-implemented method may include determining that one or more personal mobility vehicles would provide more benefit to the dynamic transportation network if the personal mobility vehicles were relocated and creating a dynamically generated tour for at least one user that ends with a personal mobility vehicle deposited by the requestor at a more beneficial location. In some embodiments, the dynamically generated tour may include one or more geographic points of interest that are expected to be relevant to the user. In some examples, the dynamically generated tour may be generated with various constraints such as time, distance, and battery usage. Various other methods, systems, and computer-readable media are also disclosed.

Systems and methods for facilitating the provision of goods using automated stores are provided. The automated stores are distributed across a geographical area and are remotely controlled to create an on-line marketplace. Users of the system can access the marketplace using an interactive portal to purchase items. Buyers can create purchase orders for items stocked in the marketplace and collect the items at one or more automated stores. The items are consigned to the buyers in real time at the automated store.

Arrangements are provided for identifying a second fraudulent subscription replacing a first fraudulent subscription. A method is performed by a fraudulent subscription detection system. The method includes obtaining notification of the first fraudulent subscription having been identified in a SIM box. The method comprises obtaining historical network data of the first fraudulent subscription. The method com includes prises generating a model based on the historical network data. The method includes identifying the second fraudulent subscription replacing the first fraudulent subscription in the SIM box upon providing live network data as input to the model. The method includes providing an identification of the second fraudulent subscription to at least one of a subscription manager entity and a user interface of a Manual Analysis component.

A system and method for determining vehicle fueling behavior that include receiving sensor data associated with an occurrence of a fueling event associated with fueling of a vehicle and determining a current geo-location of the vehicle based on determining that the fueling event is occurring. The system and method also include determining a fueling station that is being utilized during the fueling event based on the current geo-location of the vehicle. The system and method further include computing at least one fueling behavior pattern based on analyzing data associated with the fueling station and the fueling event.

Disclosed is a preference evaluation method including detecting and analyzing, by an evaluation server, posted contents uploaded to a social network service (SNS) site through a communication device, and big data built in a database server of an Internet site, and creating, by the evaluation server, preference evaluation result data and an evaluation result map, based on the detecting and analyzing results; and downloading, by an user device, the preference evaluation result data and the evaluation result map from the evaluation server, through an Internet network, such that a user of the user device checks the preference evaluation result data and the evaluation result map on a display of the user device.

An all-encompassing system for planning and optimizing scheduled delivery appointments (or attended deliveries) through the utilization of a software tool having two major constituents: an asynchronously operating background advanced, genetic route optimization algorithm and an algorithm-informed communication user interface (whether through digital, or even analog, pathways, such as, without limitation, SMS, email, IM, and the like, oral communications, or any other possible means of communication). Such a system employs the optimization algorithm to determine efficient routes for delivery services in response to selections from contacted customers via the communication user interface. In this manner, the system allows for an initial base route generation from a set population of responding customers and negotiation through the communication user interface for a delivery time in relation to such a route. Subsequent responses are introduced in relation to the route in efficient manner by the algorithm as well.

A method is disclosed. A data set including: (a) identifiers of a set of incidents occurring within a defined geographic region to which at least one service provider responded during a first time period and (b) address data identifying a location within the geographic region of each said incident of the set is retrieved over a network. An instruction to generate a heat map of the incidents occurring within the geographic region during the first time period is received from a user via a user interface generated to a display device. In response to the instruction to generate the heat map, the address data is converted to GPS data. A heat map of an aerial view of the geographic region based on the GPS data is generated. The heat map is displayed to the display device in a user interface.

A machine-learning-based method for analyzing, negotiating, and drafting contracts that provides the user with information regarding market terms for particular industries and geographic locations.