A cluster generation apparatus includes processing circuitry configured to acquire position information and time information for a plurality of users; generate a cluster based on spots visited by the users by using the position information for the users, the cluster being a classification of the users; and generate, for each generated cluster, a movement route based on a history of movement of the cluster between the spots, from the time information and the position information for the users belonging to the cluster.

A data collection, data packaging, and data delivery system that includes methods that provide for accurate digital identity data, inventory data, and associated information from multiple sources to be repackaged and delivered to various destinations are disclosed. A source, such as an edge device, is used to monitor an RFID tagged product and is configured to send data about the RFID tagged product to a designated cloud application. The received data is combined with other product specific data and is sent either directly, or via an intermediate software, to a destination cloud application. The destination cloud application is configured to manipulate the data, adjust pricing for the products, and publish the information in a searchable format for consumers in a local area to determine, for example, if the products are locally available.

A server apparatus includes a controller configured to detect an item to be purchased, based on a temporal change in captured images of an item display position at a mobile shop and, upon acquiring authentication information for a purchaser from a first terminal apparatus, perform a charging process in respect of the purchaser for a price of the item.

An online concierge system allows users to order items from a warehouse, which may have multiple warehouse locations. The online concierge system provides a user interface to users for ordering the items, with the user interface providing an indication of whether an item is predicted to be available at the warehouse at different times. To predict availability of an item model at different times, the online concierge system selects data from historical information about availability of items at one or more warehouses based on temporal, geospatial, and socioeconomic information about observations of historical availability of items at warehouses. The online concierge system accounts for distances between observations and a time and geographic location in a feature space to select observations for predicting item availability at the time and the geographic location.

Systems and methods for providing warehousing services that utilize a machine learning model are provided. The system trains a machine learning model with training data comprising item attributes and transaction locations extracted from past transactions for each item category to identify a plurality of transaction zones where each item category has a highest probability for selling. Subsequently, the system receives a warehouse request to warehouse inventory in a remote location. At least one transaction zone is determined based on item attributes of the inventory by applying the trained machine learning model. Based on the determined at least one transaction zone, the system determines one or more warehouse spaces that satisfy a spacing requirement for the inventory and causes presentation of the warehouse recommendation. The warehouse recommendation can indicate the one or more warehouse spaces.

A merchant may operate a retail store that users are able to visit in person in order to view and purchase products. When a user visits the store, the user might not know where a desired product (“target product”) is located. Computer technology may help direct the user to the target product in real-time. In some embodiments, a model of passable areas and the location of products in the retail store may be determined, e.g. by a merchant device. In some embodiments, when the user visits the retail store, a computer generates a product recommendation, e.g. based on user-specific information, and a route in the retail store is determined for the user. In some embodiments, the route in the retail store may be determined using the model based on the target product, the user's location in the store, and one or more recommended products.

Aspects described herein may relate to methods, systems, and apparatuses that provide new capabilities for recommending purchases to a user based on the user's past purchasing history and the purchase history of others. A new descriptor referred to as “purchase embeddings” is disclosed, which are data records in a new multi-dimensional space for describing and tracking purchases of goods and services.

A list of items to pick for an order at a store is obtained. A hierarchical graph of the store is maintained based on regions within the store, endpoints within the store, and locations of items relative to the regions and endpoints. Each item in the list is connected to its nearest endpoint within the graph and a path is found between the endpoints. An optimized and order list of the items is found based on an optimal path through each endpoint. For each segment within the path a list of traversed endpoints is identified. The endpoints are grouped by region; a new navigation instruction is generated only when a given region is changed. The process is repeated for each pair of items in the list; the list is reduced; and translated into text as an optimal path to pick the items of the order within the store.

An optimized route to pick a list of items through a store is obtained. Sensor data for a mobile device of a user is evaluated in real time to provide fine-grain orientation, direction, location, and behaviors of the user along the route during a picking session. A determination is made based on the sensor data and a current portion of the route that the user has picked a current item from the store and a next item along with its route guidance is provided to the user without any user action being required. In an embodiment, tactile, speech, and/or audible feedback is provided from the device when the determination is made that an item was picked by the user. In an embodiment, predefined movements of the device are identified as user-provided route commands and processed on behalf of the user during the session.

A method, non-transitory computer readable medium, and system for obtaining and delivering at least one alcoholic beverage through at least one supply chain are described. In some examples, the present disclosure includes obtaining and delivering at least one alcoholic beverage, through the supply chain, to at least one user. In some examples, the at least one alcoholic beverage can be delivered with at least one item that is not an alcoholic beverage. In some examples, the at least one alcoholic beverage can be delivered with at least one free alcoholic beverage obtained from a manufacturer. Some examples of the present disclosure also allow for management of inventory of alcoholic beverages throughout at least one supply chain.