A system for transportation includes a vehicle having a user interface, and a robotic process automation system wherein a set of data is captured for each user in a set of users as each user interacts with the user interface, and wherein an artificial intelligence system is trained using the set of data to interact with the vehicle to automatically undertake actions with the vehicle on behalf of the user.

A method of optimizing an operating state of a vehicle includes classifying, using a first neural network of a hybrid neural network, social media data sourced from a plurality of social media sources as affecting a transportation system. The method further includes predicting, using a second neural network of the hybrid neural network, one or more effects of the classified social media data on the transportation system. The method further includes optimizing, using a third neural network of the hybrid neural network, a state of at least one vehicle of the transportation system, wherein the optimizing addresses an influence of the predicted one or more effects on the at least one vehicle.

According to one embodiment, a server includes a storage unit, a communication interface to connect to store servers and customer terminals, and a control unit. The control unit is configured to receive an order from a customer terminal via the communication interface for an item at a store in a plurality of stores at a facility shared by the plurality of stores and output a seat congestion information request to the customer terminal. The seat congestion information request causes the customer terminal to display a request on the customer terminal for an input of congestion information indicating a congestion state of shared seats at the facility. The control unit receives the congestion information from the customer terminal device and tracks the congestion state of the shared seats based on the received congestion information.

This application relates to systems, methods, devices, and other techniques that can be utilized to simulate and analyze behaviors of customers in a retail environment.

A computing device provides shoppers with a frictionless commerce experience. The computing device determines, tracks, and stores certain physical characteristics and/or attributes of the products selected by a shopper for purchase. The device analyzes these attributes with respect to the shopper's particular purchasing habits and uses the results of that analysis to recommend products to the shopper. Additionally, the computing device may modify the sales price of the product, or augment the shopper's order with the same or similar products, based on the results of the analysis.

A method for managing customers for a store includes generating first account identification information from stored account information of a customer. The method also includes transmitting a list of candidate payees within a predefined distance of a current geolocation of a personal communication device of the customer and identifying the store as a party to a transaction with the customer based on feedback. The method still further includes receiving, from the store, a transaction message indicating the customer is a counterparty to the transaction, the transaction message comprising second account identification information received at the communication device of the store from the customer. The method also includes determining the first account identification information matches the second account identification information. The method further includes approving the transaction between the customer and the store in response to determining the first account identification information matches the second account identification information and identifying the store as the party to the transaction.

In accordance with an embodiment, an information processing apparatus acquires a rank of a visiting user and an amount according to the ranking. The information processing apparatus acquires a price at an own store of a commodity that the user has selected for purchase. The information processing apparatus acquires a price at another store of the commodity that the user has selected for purchase. In a case in which the price at the own store is higher than the price at the other store, the information processing apparatus adds an amount based on a difference in price therebetween to the amount according to the ranking, which is acquired by a first acquisition means.

A computer-implemented online conferencing transactional platform system comprising an interaction module, a video-conferencing module, and a storage device may allow multiple participants in a video-conference to access, co-browse, collaboratively edit, and sign a transactional document. An interaction module fetches an image of a transactional document and a field identifier for an interactive transactional document element to be filled out from a remotely-connected secure signature API, and displays the image of the document, along with the interactive transactional document element on a webpage interface to a moderator and a signer end user in a video-conference. The interaction module receives a filled-out transactional document in an I-frame from the secure signature API, allowing the signer end user to sign the transactional document using a secure embedded signature process.

Disclosed are various embodiments for establishing a connection between a client device and a third-party entity device and providing services associated with a third-party entity to the client device according to user-defined access permissions. A context environment can be determined according to user data and third-party entity data. Services available to the user device can be selected according to the context environment, the user-defined access permissions and third-party defined instructions. Upon selecting the services, the services are provided to the client device and a connection between the client device and a third-party entity device can be established.

The present disclosure provides a method for generating an index score. The method may comprise (a) obtaining data associated with a plurality of interactions between (i) a plurality of sales representatives and (ii) a customer; (b) for each sales representative: (i) processing the data to determine a plurality of components of the index score; (ii) applying a plurality of weights and standardizations to the plurality of components to generate a plurality of metrics; (iii) aggregating the plurality of metrics to generate the index score, wherein the index score is indicative of an effectiveness of the sales representative in interacting with the customer; (c) selecting, based on the index scores of the plurality of sales representatives, a sales representative of the plurality of sales representatives; and (d) displaying, on a graphical user interface of an electronic device of the sales representative, a recommended interaction between the sales representative and the customer.