Systems and methods are provided for detecting inaccuracy in a product title, comprising identifying, by running a string algorithm on a title associated with a product, at least one product type associated with the product, predicting, using a machine learning algorithm, at least one product type associated with the product based on the title, detecting an inaccuracy in the title, based on at least one of the identification or the prediction, and outputting, to a remote device, a message indicating that the title comprises the inaccuracy. Running the string algorithm may comprise receiving a set of strings, generating a trie based on the received set of strings, receiving the title, and traversing the generated trie using the title to find a match. Using the machine learning algorithm may comprise identifying words in the title, learning a vector representation for each character n-gram of each word, and summing each character n-gram.

In some examples, a service computing device receives an indication that a buyer associated with a buyer profile has selected a first item to purchase from a first merchant site. The service computing device associates information related to the first item with a persistent virtual cart associated with the buyer profile. The service computing device receives an indication that the buyer has selected a second item to purchase from the second merchant site. The service computing device associates information related to the second item with the buyer profile. The service computing device receives, from a buyer device, an indication of intention to purchase the items in the persistent virtual cart. Consequently, the service computing device may send an order for the first item to a computing device associated with the first merchant and an order for the second item to a computing device associated with the second merchant.

A method of tracking a container closure used to seal liquid in a container is provided, comprising applying a trackable indicia to a container closure, wherein the trackable indicia is unique to the container closure; recording an associated data set comprising a plurality of parameters related to the liquid in the container; correlating the associated data set with the trackable indicia; applying the container closure to the container to seal the liquid within the container; maintaining a database of the trackable indicia corresponding to the associated data set; and scanning the trackable indicia to retrieve the associated data set from the database. The method of the invention also includes utilization of a container closure having inherent natural imperfections and/or patterns on the top and/or sides of the closure and obtaining scanned images and data thereof which are analyzed and utilized for closure and container identification and likewise serve as scannable trackable indicia.

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.

The embodiments disclose an apparatus including a system and method for displaying wheel styles and artwork on vehicles to allow customers to make an informed purchasing decision at the dealer location regarding different wheel styles or paint colors and paint pattern artwork choices to purchase for their vehicle. This system and method enables a sales person to show a customer a variety of wheel styles, tires, paint colors, paint patterns and various decorations, such as pinstriping, will look on the customers actual vehicle by holograph or conventional projection of the products displayed on the vehicle. Purchasers can also use a smartphone mobile application to superimpose products onto a photo of their vehicle on a smartphone display screen or view images in combination with a smartphone projector or virtual reality headset 3D viewer and their smartphone to get a complete 3D view of the product choices that the user can make for their vehicle.

Some embodiments comprise integrating information from a social network into a multi-tenant database system. A plurality of information from the social network is retrieved, using a processor and a network interface of a server computer in the multi-tenant database system, wherein the plurality of information is associated with a message transmitted using the social network. Metadata related to the transmitted message is generated, using the processor. A conversation object is generated, using the processor, based on the plurality of information associated with the transmitted message and the metadata related to the transmitted message. The conversation object is then stored in an entity in the multi-tenant database system, using the processor of the server computer.

A method, apparatus, and computer program product are disclosed to identify editorial content that is compatible with a promotion. The method includes receiving a selection of a promotion structure. The method further includes identifying editorial content that is compatible with the selected promotion structure. The promotion structure may optionally be selected from a list of promotion structures relating to a deal context. The method further includes transmitting the compatible editorial content to a user. Optionally, the method may include receiving a selection from the compatible editorial content, and transmitting a claim confirmation to a promotion and marketing service. A corresponding apparatus and computer program product are also provided.

A system and method of automatically detecting pricing loops by generating a price-history database and searching the database for recurring pricing update patterns. If a price update pattern is detected, then the price republishing is blocked until a next event occurs to interrupt the pricing loop. A pricing engine searches the price-history database before publishing a new price. If a past price recurs multiple times over a predetermined time period, then it is saved as a candidate value for a pricing loop. A current price to be published is compared to the candidate value, and if there is a match, then the current price is suppressed.

Features are disclosed for training and using a recommendation model configured to receive inputs from a user via a first channel and a second channel. The recommendation model can be trained with inputs from the first channel and inputs from the second channel. The recommendation model can receive a plurality of inputs from multiple channels and determine a probability of a future potential event for each channel. The probabilities may be based on the probability of a repeat event and the probability of a general event. The recommendation model may generate a recommendation for the user based on the probabilities of a future potential event.

A failure diagnosis device includes a communication unit, a data comparison unit, and an eligibility determination unit. The communication unit acquires first physical quantity data and second physical quantity data of a type different from that of the first physical quantity data that are used for performing failure diagnosis of a home appliance acquired by a sensor unit, and first control information related to the second physical quantity data acquired by the home appliance. The data comparison unit compares the second physical quantity data with the first control information. The eligibility determination unit determines whether or not the first physical quantity data is eligible as data used for the failure diagnosis based on a comparison result obtained by the data comparison unit.