Systems and methods are provided for diagnosing an issue associated with an enterprise application on a client device by initiating a communication from the client device to a CSR device to report the issue, generating a matter identifier associated with the reported issue, transmitting a communication containing a deep link to the client device, invoking the deep link to initiate mining of logging data corresponding to the use of the enterprise application and stored locally on the client device, formatting and/or tagging the mined logging data with the matter identifier, transmitting the formatted mined logging data from the client device to the CSR device and/or a proprietary server, analyzing the mined logging data to diagnose a source of the reported issue, and attempting to resolve the reported issue based on the analysis of the mined logging data.

A price information determination apparatus (10) includes an information acquisition unit (110), a price information determination unit (120), and an output unit (130). The information acquisition unit (110) acquires customer information of a customer when the customer selects a specific product (50) out of products (50) placed in a product shelving unit (40). The price information determination unit (120) generates price information of the selected product (50) by using the customer information acquired by the information acquisition unit (110). The output unit (130) outputs the customer information generated by the price information determination unit (120) to, for example, a display apparatus (30).

Interaction events collected across disparate customer communication channels of an enterprise are processed to generate an encoded unique content item identifier for each content item referenced in an interaction event such that the content item is resolvable to a location in a content repository. A training data set is built using the interaction events thus processed and a multi-channel content recommendation model is trained using the training data set. The multi-channel content recommendation model thus trained stores data points representing intersections of customers and content items that the enterprise has been tracking, with each data point having an effectiveness score for an associated content item. The multi-channel content recommendation model thus trained can be queried by content designers of the disparate customer communication channels through a recommender application for content recommendations based on the effectiveness of the content, agnostic to the disparate customer communication channels.

The invention relates to a method for generating dynamic information content of a people transport system. The method comprises: receiving an information content request from a terminal device, obtaining status information representing the current status of at least part of the people transport system from a server system, generating a document map comprising references to one or more information content topics based at least on the obtained status information, retrieving the one or more information content topics referred in the document map, generating the dynamic information content based on the retrieved one or more information content topics from the server system, and providing the generated dynamic information content to the terminal device. The invention relates also to a computing unit, a system, and a computer program.

A store cooperation support apparatus (1) according to the present invention includes: an acquisition unit (11) that acquires, through a sales site of a first store (an online store 2) capable of selling a predetermined product online, a trial request including date and time information indicating a date and time at which a predetermined customer wants to try the product in a physical store; and a setting unit (12) that sets a disclosure period for disclosing, based on the date and time information, disclosure information including interest information of the customer about the product in the first store to a second store (a physical store 4 or 5) capable of physically selling the product.

In at least one embodiment, an in-vehicle system is provided that includes a transceiver system and a vehicle controller. The transceiver system may be positioned in a first vehicle and is configured to enable communication with one of a surrounding infrastructure to the first vehicle and a surrounding vehicle to the first vehicle. The vehicle controller may be positioned in the first vehicle and is programmed to transmit an electronic request, via the transceiver system, to a Customer Relationship Manager (CRM) server and to receive first information corresponding to the electronic request from the CRM server. The vehicle controller is further programmed to transmit the received first information to one a display in the first vehicle, the surrounding vehicle, and the surrounding infrastructure.

An apparatus and a method for displaying content of a third party to a cellular phone of a patron of premises are shown and described. The premises may be for example a restaurant in which a premises display apparatus which is part of the apparatus system is placed on a table used by the patron. The patron may utilize the premises display apparatus to cause a particular commercial solicitation by the third party to appear on a screen of his or her cellular phone by an initiating action by the patron. The communication may be a commercial transaction completed using the cellular phone. The premises display apparatus selectively enables a generic menu of third party icons, or a home web page of one or more third parties, or another specific web page of any selected third party or via an application to be displayed on the cellular phone.

Systems and methods for detecting potential shrink events via RFID technology are provided. The systems include a point of sale (POS) system that includes an optical scanner, an RFID transceiver arrangement, a user interface and a controller. The controller is configured to perform example methods disclosed herein. For example, the controller may detect that the optical scanner has decoded a barcode, trigger the RFID transceiver arrangement to write a data string to an RFID tag located within the object scanning area, conduct a detection operation to detect the RFID tag with the data string in the bagging area. Responsive to detecting the RFID tag with the data string, the method involves the user interface performing a first operation. Responsive to not detecting the RFID tag with the data string, the method involves the user interface performing a second operation.

In some implementations, a cloud computing system that executes a function may receive an indication of an electronic communication to occur between a customer and an agent. The cloud computing system that executes the function may determine a classification of the electronic communication based on a first set of rules stored in a database of the cloud computing system and attributes associated with the electronic communication. The cloud computing system that executes the function may select, based on the classification of the electronic communication, a target queue from a plurality of potential queues to be associated with the electronic communication based on a second set of rules stored in the database. The cloud computing system that executes the function may select the agent from a plurality of potential agents for the electronic communication based on an association between the agent and the target queue.

The present disclosure relates techniques for coordinating and synchronizing client-facing support services with the activities and responses from one or more technical teams assigned to address a client issue. In certain implementations, this may allow an agent or customer approach to use a single reference identifier (such as a case or matter number) to access information or updates from technical teams that do not typically employ such a number for their own tracking purposes. In this manner, relevant information to a client issue may be accessed from all involved technical teams at the agent level as well as allowing the technical teams themselves to readily see activity by other teams.