Patent classifications
G06Q30/01
NON-FUNGIBLE PREFERENCE TOKEN
An interaction message may be received as part of a digital interaction between the database system and a remote computing device. A public trust ledger identifier associated with the interaction message may be determined. A non-fungible preference token recorded in a public trust ledger within a wallet owned by the public trust ledger identifier may be identified. The non-fungible preference token may include one or more preference values identifying preference information for a user associated with the public trust ledger identifier. An updated preference value based at least in part on the digital interaction. An instruction to update the non-fungible preference token to include the updated preference value may be sent to the public trust ledger.
NON-FUNGIBLE PREFERENCE TOKEN
An interaction message may be received as part of a digital interaction between the database system and a remote computing device. A public trust ledger identifier associated with the interaction message may be determined. A non-fungible preference token recorded in a public trust ledger within a wallet owned by the public trust ledger identifier may be identified. The non-fungible preference token may include one or more preference values identifying preference information for a user associated with the public trust ledger identifier. An updated preference value based at least in part on the digital interaction. An instruction to update the non-fungible preference token to include the updated preference value may be sent to the public trust ledger.
System And Method For Providing Real-Time Online Human Or Human-Equivalent Assistance
The present invention is related to a network-based system and method for real-time online human or human-equivalent assistance that allows a user to connect with an online helper in real-time, wherein the online helper assists the user in doing things, both on or offline, including using apps of a personal digital device with or without the click of a button, searching, getting information, transacting, communicating, emoting, connecting with others, getting expertise, learning, multi-tasking, navigating the digital world, and much more. The network-based system comprising a mobile/web-based application for the personal digital device having a program and circuitry, is installed by the user and online helper in their respective personal digital devices for the real-time online interaction, creating a peer-to-peer connection therebetween via a server and the Internet. This provides new hope for many to be able to do a wide range of things, both on and offline, more easily.
SYSTEM AND METHODS FOR CLAIMING PROMOTIONAL REWARDS USING A REWARD WHEEL
A system and method for delivering promotional rewards to a customer mobile device comprising a promotional reward wheel, a media server, and messaging application operating on the customer's mobile device. A customer interacts with the promotional reward wheel and the system captures that interaction and responsive to the promotional reward that was won by the interaction, generates a message on the customer's mobile device with a means to claim the reward by sending the generated message to the appropriate message endpoint.
Instant generation and usage of HTTP URL based unique identity for engaging in multi-modal real-time interactions in online marketplaces, social networks and other relevant places
A User Engagement System (UES) has mechanism to allow a provider of a product or service to sign up with basic identity information along with any service description resulting in an instant URL as a means for outside parties to contact this provider and engage in multi-modal interactions involving voice, video, chat and media sharing. A single user or a group of users can sign up with this system and provide optionally some contact information such as phone numbers. An URL is instantly generated that can be advertised as hyperlinks to the outside environment such as on a website, email or any other means. This URL can be advertised by the system in various online marketplaces or social networks of the provider as well as on the web to be identified by search engines.
SYSTEM AND METHOD FOR GENERATING WRAP UP INFORMATION
A system for generating wrap-up information is capable of learning how interactions are transformed into contact notes and outcome codes using natural language processing and can generate the contact notes and outcome codes for new incoming interactions by applying prediction models trained on interaction data, contact notes and outcome codes. The system for generating wrap-up information receives interaction data, including interaction audio data, interaction transcripts, associated contact notes and associated outcome codes. The interaction transcripts are generated from the previous interactions between agents and customers. The contact notes and outcome codes are generated by agents during the associated previous interactions. The system processes and uses the interaction data to train prediction models to analyze interaction audio data and interaction transcripts and predict appropriate contact notes and outcome codes for the interaction. Once trained the prediction model(s) can generate appropriate contact notes and outcome codes for new interactions.
DYNAMIC COMMUNICATION ROUTING BASED ON CONSISTENCY WEIGHTING AND ROUTING RULES
Systems and methods for dynamic communication routing based on consistency weighting and routing rules are disclosed. A computing device can receive a communication including content data. The communication can be stored in a queue position of a primary queue. For example, the primary queue can include a plurality of queue positions for storing communications. The communication can be retrieved from the queue position of the primary queue and analyzed. In some instances, analyzing can include parsing the content data for a keyword. A keyword can correspond to a secondary queue. When the keyword is identified in the communication, the communication can be stored in the secondary queue that corresponds to the keyword. A terminal device associated with the secondary queue can be identified. A retrieval request to access the communication from the secondary queue can be received, and the communication can be routed to the terminal device.
DYNAMIC COMMUNICATION ROUTING BASED ON CONSISTENCY WEIGHTING AND ROUTING RULES
Systems and methods for dynamic communication routing based on consistency weighting and routing rules are disclosed. A computing device can receive a communication including content data. The communication can be stored in a queue position of a primary queue. For example, the primary queue can include a plurality of queue positions for storing communications. The communication can be retrieved from the queue position of the primary queue and analyzed. In some instances, analyzing can include parsing the content data for a keyword. A keyword can correspond to a secondary queue. When the keyword is identified in the communication, the communication can be stored in the secondary queue that corresponds to the keyword. A terminal device associated with the secondary queue can be identified. A retrieval request to access the communication from the secondary queue can be received, and the communication can be routed to the terminal device.
Printing device functionality based on consumption and payment
Examples for determining printing device functionality based on consumption and payment are described herein. In some examples, signals indicative of an amount of utilized print consumable by a printing device and signals indicative of payment for the amount of utilized print consumable are received at a computing device. Signals to cause the printing device to alter a functionality based on the signals indicative of an amount of utilized print consumable and the signals indicative of payment for the amount of utilized print consumable are transmitted by the computing device.
SYSTEM AND METHOD TO PREDICT AND PREVENT CUSTOMER CHURN IN SERVICING BUSINESS
A system and method for minimizing customer churn in device service businesses commences with execution of a customer service contract. Ongoing customer data capture is made for each contract. Customer data includes contract events, environmental events, service events, device usage analytics and personnel events. Machine learning is applied to captured customer data, which machine learning is based on a state of customer data at the time of contract determination. Customer data is assigned weights, and aggregate data for each customer is compared to a preselected threshold level. Customers above a threshold are deemed happy and customers below the threshold are deemed to be at risk. Remedial measures relative to at risk customer data generates levels of automated remediation followed by remedial measure suggestions to an administrator when not sufficiently successful.