The present disclosure relates to management of inventories and supply chains and, more particularly, to a predictive inventory management system and methods of use. The method of inventory management, includes: obtaining information associated with an item; predicting demand of the item based on the obtained information; determining whether additional inventory is required based on the predicted demand of the item; and obtaining additional inventory of the item when the current inventory level does not match the predicted demand.

Described is a service provider marketing system for use to market services provided in various areas and locations. The system allows services provides to enter locations of services provided for viewing by those seeking for such services. The users seeking service may then based on the location entered by the user, view service providers who provide services within the area of the entered location, such as the users neighborhood. This allows the user to identify the properties for which the services are being rendered and see who is most popular with neighbors or see the provider of services that the user has identified as pleasing or liking. The system then provides information for the user to contact the service provider.

According to examples, a system for coordinating and managing potential volunteers (i.e., volunteer blood donors) is disclosed. The system may include may include a processor and a memory storing instructions. The processor, when executing the instructions, may cause the system to receive partner data from one or more of a local partner and a global partner and determine a donation need based on the partner data. The processor may also cause the system to identify a pool of volunteer donors based on the donation need, build an online campaign to increase the pool of volunteer donors, and coordinate the pool of volunteer donors with the local or global partners based at least in part on a machine learning (ML) technique.

A processing system including at least one processor may identify a demand for a plurality of types of items in an area that is assigned to a delivery vehicle, determine a first route to traverse the area to maximize a fulfillment of the demand, identify items from the plurality of types of items to load onto the delivery vehicle, and dispatch the delivery vehicle on a first trip over the first route, the delivery vehicle carrying the items that are identified.

Systems, methods, and apparatus are described herein for determining a location from anonymous data. For example, a computing device may receive anonymous data associated with a browser session initialized by a user via a browser on a user computing device. The computing device may determine that the user has not been assigned a unique identifier. The computing device may determine whether the user opted-in to location tracking. If the user opted-out of location tracking, the computing device may determine a latitude coordinate and a longitude coordinate of the user computing device during the browser session. The computing device may identify a physical address for the user based on the latitude coordinate and the longitude coordinate, for example, using a map application programming interface (API). The computing device may assign the unique identifier to the user. The computing device may associate the unique identifier to the physical address.

Systems and methods are provided for receiving a request for services in a given location from a client device operated by a user and generating a set of features based on information included in the request for services in the given location. The systems and methods further provide for analyzing the set of features using a machine learning model to predict whether only services that can be instantly booked should be provided in response to the request for services in the given location, analyzing a prediction output by the machine learning model to determine that only services that can be instantly booked should be provided in response to the request for services in the given location, and generating a list with only services that can be instantly booked.

A server apparatus as a management apparatus in a system includes a controller configured to execute acquiring commodity-or-the-like purchase information of a user in a first mobile store from a store device of the first mobile store, selecting a commodity or a service predicted to be purchased next by the user based on commodities or services in the acquired commodity-or-the-like purchase information, and transmitting information regarding the user to a store device of a second mobile store dealing in the selected commodity or service.

A system and method are disclosed for receiving a request to track data of an area of interest (AOI). The system receives a plurality of geolocation data records corresponding to a plurality of mobile devices. The system determines which mobile devices of the plurality of mobile devices have visited the AOI. For each mobile device determined to have visited the AOI, the system determines a path of the mobile device. The path including a prior location of the mobile device and a next location of the mobile device. The system transmits for display by a client device, a report including the path for each mobile device determined to have visited the AOI. The path indicating an identification of additional AOIs based on the prior location and the next location.

Disclosed is a method for using a virtual representation of an indoor environment to identify contents that have been damaged (e.g., by flooding). A virtual representation of a physical scene of an indoor environment is processed to identify a list of contents in the physical scene. The virtual representation may include 2-dimensional representations of the physical scene (e.g., images or video) or a 3-dimensional representation of the physical scene (e.g., 3D digital model). A reference line is determined in the virtual representation that is indicative of a maximum vertical extent of the damage in the physical scene. The position of the reference line is compared with the position of the identified contents in the virtual representation to determine contents that are likely to be damaged. For example, the contents that are at or below a plane represented by the reference line in the virtual representation may be identified as damaged.

The present invention relates to a method and apparatus for determining correlations between text or text-derived data and numerical data. Specifically the present invention relates to determining correlation(s) between text-derived and numerical data in order to generate estimated numerical data using the determined correlation(s) for specific text-derived data. Aspects and/or embodiments seek to provide a method for estimating numerical data using historical numerical data and historical text-derived data. Aspects and/or embodiments also seek to determine a correlation between the historical numerical data and historical text-derived data for use in generating the estimated numerical data using text-derived data, optionally to identify relevant trends in text-derived data that can be used to generate estimated/predicted numerical data, and optionally in order to train a computer implemented model to generate estimates of numerical data for given text-derived data.