A payment system for facilitating a desired transaction over a social media platform includes a computer server programmed and operating to maintain a user account in a database, the user account including at least a user credential, a user computing device credential, and a user mobile credit account. The computer server maintains a merchant account in the database, the merchant account including at least a merchant mobile credit account. The computer server further operates to authenticate the user, authenticate the user computing device, and process a debit to the user mobile credit account a credit to the merchant mobile credit account.

Exemplary voice call payment systems and methods provide parties to a voice call with features for sharing sensitive information over an active voice connection supporting the voice call. An exemplary method includes a voice call payment system detecting, during a voice call between a user of a user device and a representative of a merchant over an active voice connection between the user device and a merchant device of the merchant, a request by the user to submit inaudible payment information to the merchant over the active voice connection as payment in a transaction between the user and the merchant, directing, in response to the request, the user device to acquire the inaudible payment information, and directing, in response to the request, the user device to transmit the inaudible payment information to the merchant device over the active voice connection.

Systems, apparatuses and methods for mapping a shopping space are provided. A system for mapping a shopping space includes a plurality of motorized transport units, a store map database, and a central computer system. The central computer system being configured to divide the map of the shopping space into a plurality of sections, assign a unique section identifier to each of the plurality of sections in the shopping space, associate a blocked tag with each section inaccessible to the plurality of motorized transport units, associate an accessible tag with each section accessible by at least one of the plurality of motorized transport units, for each section having an accessible tag, allow an access restriction setting to be configured, and provide navigation instructions to the plurality of motorized transport units based on access restriction settings of each section of the shopping space stored.

A third-party negotiation automation tool for generating cost estimates on behalf of a seller is described herein. In response to receiving a request for a product from a buyer, a seller may choose to participate in a negotiation for fulfilling the request. The system may utilize one or more data sources, such as user-provided data, third-party data, and the like, to generate a cost estimate on behalf of the seller for fulfilling the request. The seller may choose to accept, modify, or decline the generated cost estimate before providing the cost estimate to the buyer for acceptance. This process may continue for one or more rounds, dependent upon the request, with the final cost estimates provided to the buyer for selection at the conclusion of the one or more rounds. In this way, the cost estimates generated on behalf of the seller may be optimized, thereby reducing the likelihood of inaccurate cost estimates and reducing the system resources required to process large volumes of bids received at or around the same time.

A combination automated-service and self-service store for implementation at brick-and-mortar retail locations is provided. The store and corresponding method of implementation is an automated-service model in which robots, deployed at the brick-and-mortar location, fill orders for fungible goods placed by customers either online or in-store. The store also includes a shopping section where customers can select/order items and/or personally select non-fungible goods. The store includes a shopping section for non-fungible goods that customers prefer to pick out by hand and a back end automated order fulfillment section for other goods (e.g., fungible goods, dry goods, etc.). The two sets of goods are merged to a delivery bundle and delivered together for pickup by the customer. The combination automated-service and self-service store combines the convenience of online shopping and self-service shopping using an unconventional approach that reduces costs for the retailer and simultaneously increases customer satisfaction.

A system for presenting properties includes: a server, coupled to client devices via the internet, the server including: a unification module, that periodically accesses data sources for listings, where the data sources include on-market sources and off-market sources, and that retrieves the listings from the sources, converts the listings to a common format, and stores the listings in the common format, and that detects deficiencies in the listings that cannot be resolved by accessing public data sources; and an intelligence module, that receives a request from the unification module for data that can resolve the deficiencies, and that accesses an external entities database to select external entities that can provide the data, and that automatically generates requests to the external entities to provide the data, and that automatically receives the data to enable the unification module to update a parcel record in a parcel database associated with the deficiencies.

An automated system for detecting and notifying of unperformed automated leasing events includes processor(s) are configured to feed source data to a machine learning algorithm. The source data includes data points for leasing event metric values recorded with corresponding timestamps. The processor(s) are configured to obtain confidence data from the machine learning algorithm. The confidence data includes an upper or lower confidence interval values for the corresponding timestamps. The processor(s) are configured to identify a trigger index and a corresponding trigger timestamp from the source data, identify a trigger interval value from the upper or lower confidence interval values that corresponds with the trigger timestamp, detect an anomaly indicative of unperformed leasing event(s) in response to determining that the trigger index extends beyond the trigger interval value at the trigger timestamp, and generate and transmit an alert for remediation in response to detecting the unperformed leasing event(s).

A system for executing actions based on user input is provided. The system comprises a virtual agent for a software application, wherein the virtual agent is configured to store a correlation between actions available in the software application. Further, the system associates one or more of the actions with one or more tags. The system receives at least an audio input from a user of the software application and uses the input to identify an action desired by the user to be performed among the actions. Further, the system executes one or more actions based on the desired action and the correlation between the actions available in the software application.

An online concierge system provides arrival prediction services for a user placing an order to be retrieved by a shopper. An order may have a predicted arrival time predicted by a model that may err under some conditions. To reduce the likelihood of providing the predicted arrival time (and related services) when the arrival time may be incorrect, the prediction model and related services are throttled (e.g., selectively provided) based on one or more predicted delivery metrics, which may include a time to accept the order by a shopper and a predicted portion of late orders that will be delivered past the respective predicted arrival times. The predicted delivery metrics are compared with thresholds and the result of the comparison used to selectively provide, or not provide, the predicted delivery services.

A system is described for training a virtual agent of a listing network platform using a machine learning model. The system establishes a communication session with a virtual agent of a listing network platform and generates, by a first machine learning model, conversation data representing a customer support issue associated with the listing network platform. The system transmits, by the first machine learning model, at least a portion of the conversation data to the virtual agent via the communication session. The system receives one or more responses to the at least the portion of the conversation data from the virtual agent in the communication session and stores a simulated conversation comprising the at least the portion of the conversation data generated by the first machine learning model and the one or more responses received from the virtual agent.