A computer implemented method and apparatus for integrating e-commerce providers with third-party vendors. The method comprises receiving an order from one vendor of a plurality of vendors, wherein the order comprises a vendor identification, a fulfillment identification, and a vendor stock keeping unit (SKU), and wherein a plurality of the vendors each has a unique communication protocol; mapping the fulfillment identification to a user identification (userID) known to a provider; mapping the vendor SKU to a provider SKU; generating a provisioning call responsive to the mapping; and provisioning the SKU for the userID in a database of the provider in response to the provisioning call.

A parametric object storage management system that provides real-time capabilities with trusted agents to optimize storage facility utilization for land, marine or aviation object. This system: 1) provides owner-input and requisite renter-searchable facility parameters for land, marine or aviation object storage; 2) enhances real-time determination of vacancy in a facility using Internet-based and geospatial technologies; 2) enhances utilization of secure facilities through trusted agents with the requisite qualifications, credentials, certifications, experience, and security clearances; and 4) is open and scalable to add-on components such as Artificial Intelligence (AI), Virtual Reality (VR) and marketplace tools.

Embodiments of the present invention disclose a method, computer program product, and system for a fitting room virtual assistant based on IoT sensors. The computer may receive a plurality of merchandise tracking data. The plurality of merchandise tracking data may show a location of a plurality of merchandise in a fitting room. A question may be received from a customer. The customer may ask a virtual assistant the question. It may be determined whether a sales associate should be contacted based on the nature of the question. An action may be performed based on the determination.

Product providers can offer matched prices for the products to the customers through a platform surveying the available prices from sale agents. The platform can determine lowest prices from the sale agents, and use this information to have an agreement with the product providers to sell the products at compatible prices.

An online concierge system facilitates a checkout bypass process for shoppers. The online concierge system detects when the shopper procuring an order for a customer is ready to exit the warehouse after obtaining the items in the order. The online concierge system applies a trained risk model to automatically determining whether to initiate an audit of the shopper. Responsive to determining to initiate the audit, the online concierge system invokes an auditing process. The online concierge system receives, via an auditor application, verification of the order from the auditor mobile application. Responsive to the verification, the online concierge system completes the order and generates routing instructions via the shopper mobile application for facilitating delivery by the shopper to the customer.

The described implementations enable a seller to sell items through multiple e-commerce channels without having to maintain independent merchant accounts at each channel. For example, a seller may sell items directly and through a management service. When a user request to purchase an item from the seller through the management service is received, the management service sends the purchase information to the seller so that the seller can complete the purchase as if the purchase were being made directly with the seller. Upon completion of the purchase, the seller provides a confirmation back to the management service and provides the item directly to the user.

An adaptive collaborative platform applies various machine learning techniques to correlate potential purchasers with high-value articles of property that may be of interest. Attributes, characteristics, preferences, and the like of a potential purchaser are scored against attributes and features of articles. The platform learns from interaction by the agents and the potential purchasers and adapts to become more attuned to the desires and lifestyle of purchasers and to gain more and more pertinent information from the listing agents regarding high-value articles, so as to ultimately to arrive at a better match between a high value article for sale and a likely purchaser.

In one embodiment, in an information processing apparatus, comprising at least one computer processor, a Bot executed by the at least one computer processor may perform the following: (1) receiving invoice information for an invoice for a payor, the invoice information comprising an invoice amount and a due date; (2) electronically communicating a payment reminder comprising the invoice amount and the due date to the payor in a chat interface; and (3) providing a payment interface in the chat interface.

An online concierge system generates a graph connecting items with attributes of the items and other items. Hence, the graph includes nodes corresponding to attributes and nodes corresponding to items, with an item connected to attributes of the item in the graph. Example attributes include a brand, a category, a department, or any other suitable information about the item. When the online concierge system receives a search query to identify one or more items from a customer, the online concierge system parses the search query into combinations of terms and compares different combinations of terms to the graph to determine connections between different combinations of terms in the graph. Based on measures of connectedness between combinations of terms and connections in the graph, items are identified from one or more combinations of terms. Information about the identified items is presented to the customer.

Disclosed are a system and method for reselling a reserved instance, which creates earnings by purchasing a reserved instance from a reserved instance providing system, such as a cloud service system, and reselling the reserved instance to a client, and a recording medium in which a program for executing the method is written. The system purchases a reserved instance from a reserved instance providing system and resells the reserved instance to a client, and includes an instance usage prediction unit for predicting instance usage of a client using a machine learning model pre-trained in relation to the instance usage, a reserved instance purchase quantity determination unit for determining a reserved instance purchase quantity based on the instance usage, a reserved instance purchase unit for purchasing the reserved instance based on the reserved instance purchase quantity, and an instance reselling unit for reselling the purchased reserved instance to the client.