Patent application number | Description | Published |
20110158398 | METHOD AND APPARATUS FOR OPTIMIZING CUSTOMER SERVICE ACROSS MULTIPLE CHANNELS - A method and apparatus for a computer-implemented technique for maximizing customer satisfaction and first call resolution, including converting telephone calls into online chats, while minimizing cost is provided. Techniques for incorporating analytics as applied to customer data into particular strategies for call deflection, targeting particular individuals to increase chat acceptance rate, and computing a customer's wait time are also provided. | 06-30-2011 |
20120076283 | Predictive Customer Service Environment - A mechanism for facilitating customer interactions within a customer service environment provides prompt and accurate answers to customer questions. A smart chat facility for use in a customer service environment to predict a customer problem examines a customer chat transcript to identify customer statements that set forth a customer issue and, responsive to this, can route the customer to an agent, an appropriate FAQ, or can implement a problem specific widget in the customer UI. Customer queries are matched with most correct responses and accumulated knowledge is used to predict a best response to future customer queries. The iterative system thus learns from each customer interaction and can adapt to customer responses over time to improve the accuracy of problem prediction. | 03-29-2012 |
20120130771 | Chat Categorization and Agent Performance Modeling - Chat categorization uses semi-supervised clustering to provide Voice of the Customer (VOC) analytics over unstructured data via an historical understanding of topic categories discussed to derive an automated methodology of topic categorization for new data; application of semi-supervised clustering (SSC) for VOC analytics; generation of seed data for SSC; and a voting algorithm for use in the absence of domain knowledge/manual tagged data. Customer service interactions are mined and quality of these interactions is measured by “Customer's Vote” which, in turn, is determined by the customer's experience during the interaction and the quality of customer issue resolution. Key features of the interaction that drive a positive experience and resolution are automatically learned via machine learning driven algorithms based on historical data. This, in turn, is used to coach/teach the system/service representative on future interactions. | 05-24-2012 |
20120185544 | Method and Apparatus for Analyzing and Applying Data Related to Customer Interactions with Social Media - Embodiments of the invention provide techniques that quantize community interactions with social media to understand and influence consumer experiences. | 07-19-2012 |
20120233258 | METHOD AND APPARATUS FOR ANALYZING AND APPLYING DATA RELATED TO CUSTOMER INTERACTIONS WITH SOCIAL MEDIA - Embodiments of the invention provide techniques that quantize community interactions with social media to understand and influence consumer experiences. | 09-13-2012 |
20120278159 | METHOD AND APPARATUS FOR ENHANCING CUSTOMER SERVICE EXPERIENCE - A technique is taught that improves how an organization engages with customers. In an embodiment, keywords are discovered to optimize for, and to integrate with, advertising systems to advertise a company website. A set of advertisements is created that improve the click-through rate from users. A optimized landing page experience is created to provide a best user experience to drive issue resolution and sales. | 11-01-2012 |
20130031081 | METHOD AND APPARATUS FOR PREDICTIVE ENRICHMENT OF SEARCH IN AN ENTERPRISE - With regard to searches and, more particularly, to searches performed on information repositories belonging to an enterprise, a centralized management system is used by the enterprise to manage the predictive search experience for users. A system offers a rich resolution experience to the end users based on user intent as determined from a variety of mechanisms, such as keywords, end user journey, clustered journey, etc. Also disclosed herein is a system that derives and offers various suggestions to end users to help them accomplish their objectives. | 01-31-2013 |
20130211880 | CHAT CATEGORIZATION AND AGENT PERFORMANCE MODELING - Chat categorization uses semi-supervised clustering to provide Voice of the Customer (VOC) analytics over unstructured data via an historical understanding of topic categories discussed to derive an automated methodology of topic categorization for new data; application of semi-supervised clustering (SSC) for VOC analytics; generation of seed data for SSC; and a voting algorithm for use in the absence of domain knowledge/manual tagged data. Customer service interactions are mined and quality of these interactions is measured by “Customer's Vote” which, in turn, is determined by the customer's experience during the interaction and the quality of customer issue resolution. Key features of the interaction that drive a positive experience and resolution are automatically learned via machine learning driven algorithms based on historical data. This, in turn, is used to coach/teach the system/service representative on future interactions. | 08-15-2013 |
20130268468 | METHOD AND APPARATUS FOR INTENT MODELING AND PREDICTION - A method and apparatus enables identification of customer characteristics and behavior, and predicts the customer's intent. Such prediction can be used to adopt various business strategies to increase the chances of conversion of customer interaction to a sale, and thereby can increase revenue, and/or enhance the customer's experience. | 10-10-2013 |
20130282430 | METHOD AND APPARATUS FOR AN INTUITIVE CUSTOMER EXPERIENCE - Improvement of customer experiences during online commerce is accomplished by providing unique experiences to customers as a result of anticipating customer needs, simplifying customer engagement based on predicted customer intent, and updating system knowledge about customers with information gathered from new customer interactions. In this way, the customer experience is improved. | 10-24-2013 |
20130282595 | METHOD AND APPARATUS FOR OPTIMIZING WEB AND MOBILE SELF-SERVE APPS - An embodiment of the invention takes advantage of the fact that the intuitive power of a self-serve app lies in constant learning. The app must quickly evolve to predict customer needs and provide the right content to the right customer. In an embodiment, Web and mobile self-serve apps are optimized by leveraging the chat data of drop-off customers from each screen of the app. In an embodiment, self-serve drop-off data is combined with chat data, the customer's identity data and Web log data to provide a powerful source for driving the targeting and content optimization of the app. | 10-24-2013 |
20140012626 | PREDICTIVE CUSTOMER SERVICE ENVIRONMENT - A mechanism for facilitating customer interactions within a customer service environment provides prompt and accurate answers to customer questions. A smart chat facility for use in a customer service environment to predict a customer problem examines a customer chat transcript to identify customer statements that set forth a customer issue and, responsive to this, can route the customer to an agent, an appropriate FAQ, or can implement a problem specific widget in the customer UI. Customer queries are matched with most correct responses and accumulated knowledge is used to predict a best response to future customer queries. The iterative system thus learns from each customer interaction and can adapt to customer responses over time to improve the accuracy of problem prediction. | 01-09-2014 |
20140019886 | METHOD AND APPARATUS FOR OPTIMIZING CUSTOMER SERVICE ACROSS MULTIPLE CHANNELS - A method and apparatus for a computer-implemented technique for maximizing customer satisfaction and first call resolution, including converting telephone calls into online chats, while minimizing cost is provided. Techniques for incorporating analytics as applied to customer data into particular strategies for call deflection, targeting particular individuals to increase chat acceptance rate, and computing a customer's wait time are also provided. | 01-16-2014 |
20140079195 | METHOD AND APPARATUS FOR PREDICTING INTENT IN IVR USING NATURAL LANGUAGE QUERIES - An IVR system is disclosed in which customer experience is enhanced by improving the accuracy and intent prediction capabilities of an interactive voice response system. Customers are allowed to make a natural language queries to specify their intent, while the accuracy of traditional IVR systems is maintained by using key features in language along with the customer's past transactions, CRM attributes, and customer segment attributes to identify customer intent. | 03-20-2014 |
20140143017 | PROACTIVE SURVEYS BASED ON CUSTOMER INFORMATION - A context-aware computing system for delivering surveys to a customer. The choice of which survey to send to a customer may be tailored based on a click path (route), customer history, and customer interests. A customer browsing a Web page initiates the survey decision process. A control module selects a survey to send to a customer based on the criteria above and customer intent. Customer responses are then harvested from the Web-based survey. | 05-22-2014 |
20140156383 | AD-WORDS OPTIMIZATION BASED ON PERFORMANCE ACROSS MULTIPLE CHANNELS - In online advertising, ad delivery optimization is derived from ad-words searches. A user performs a keyword search for a product or service. User interactions across multiple channels, e.g. phone, text, email, and so on, and multiple browsers that are used while conducting a search are analyzed to predict user intent. Based on the intent prediction, advertisements that are determined to be the most relevant are displayed along with the search results. The user then clicks through the ads to the websites that are most relevant to his search, for example to make purchases of goods and services. | 06-05-2014 |
20140192971 | METHOD AND APPARATUS FOR ANALYZING LEAKAGE FROM CHAT TO VOICE - The customer experience is enhanced by detecting leakage-to-voice from chats and providing recommendations to operations, chat agents, and customers. A chat is classified into leakage-to-voice or leakage-to-text chat and actionable recommendations are then provided to operations, chat agents, and customers based on the leakage information. Once leakage is identified, various other insights are extracted from chats and such insights are fed into the knowledge-base. Such insights also used in agent training and are provided to chat agents as recommendations. This results in a better customer experience. | 07-10-2014 |
20140195298 | TRACKING OF NEAR CONVERSIONS IN USER ENGAGEMENTS - A computing method and system is disclosed for analyzing interactions between a user and a customer support agent. Typical interactions include inquiries about a product or service, and a service call. When the user purchases a good or service, or successfully completes a service call, the customer converts, e.g. the sales pitch or service solution was successful. If the customer does not convert, then the interaction between user and agent is analyzed to determine why the user did not convert and whether the user should be categorized for potential retargeting. | 07-10-2014 |
20140195562 | DETERMINING PRODUCT CATEGORIES BY MINING INTERACTION DATA IN CHAT TRANSCRIPTS - The propensity and intent of a user to make a purchase is predicted based on product search queries and chat streams. The contents of the data sources, including search queries and chat streams, are analyzed for product names and product attributes. The results of the analyses are used to predict user needs. Product names and attributes are extracted from the data sources. The extracted information is mapped onto abstract product categories. Based on the abstract product categories, offers for products and services are made to the user. | 07-10-2014 |
20140207518 | Method and Apparatus for Building a User Profile, for Personalization Using Interaction Data, and for Generating, Identifying, and Capturing User Data Across Interactions Using Unique User Identification - A user profile is creates, and personalization is provided, by compiling interaction data. The interaction data is compiled to generate a value index or score from a user model. Parameterized data is used to build tools which help decide an engagement strategy and modes of engagement with a user. Several facets relating to the user, such as user behavior, user interests, products bought, intent, chat language, and so on, are compiled to create a user profile based personalization technique. In another embodiment, a unique ID is provided that can be mapped across multiple channels for use by the user to contact various organizations across multiple channels, and thus upgrade the user's experience. | 07-24-2014 |
20140207622 | INTENT PREDICTION BASED RECOMMENDATION SYSTEM USING DATA COMBINED FROM MULTIPLE CHANNELS - User intent is identified while the user browses online and recommendations are provided to the user. The recommendations are based on the identified intent, interests, and preferences of the user who is performing the searches. The determination of user intent and interests is based on a statistical model derived from data compiled from the user and a plurality of other users. Other resources may also be determined to be relevant, for example, because of past interactions of the user, memberships of the user in ecommerce websites, the user's interests and preferences are similar to those of other users, and so on. The result of the user search is a ranked set of recommendations that is provided to the user. | 07-24-2014 |
20140222503 | DYNAMIC PREDICTION OF ONLINE SHOPPER'S INTENT USING A COMBINATION OF PREDICTION MODELS - Online browsing behavior is used to predict the intent of online users dynamically. The category of online user is predicted and the prediction can be used to provide assistance to the user, if required. Such prediction is based on a combination of a Naïve's Bayes classifier and a Markov model. | 08-07-2014 |