3126results about How to "Increase sales" patented technology

The present invention is directed to a system and method for providing complete electronic commerce (“E-Commerce”) transactions and solutions for a marketing company's products via the World Wide Web, including facilities for signing up new customers and recruiting, training and supporting new Independent Business Owners through an interactive online process. In another aspect, the present invention relates to the combination of a marketing business with a membership buying opportunity using both electronic commerce and face-to-face transactions. The present invention is also directed to a system and method for combining a marketing business with a membership buying opportunity, so that Independent Business Owners participating in the marketing plan can introduce customers to a membership buying opportunity and earn bonuses or commissions based on the purchases by those members, while Members in the buying opportunity can consume products or, at their option, qualify to become Independent Business Owners.

Methods and systems are disclosed for routing callers to agents in a contact center, along with an intelligent routing system. A method for routing callers includes routing a caller, if agents are available, to an agent based on a pattern matching algorithm (which may include performance based matching, pattern matching based on agent and caller data, computer models for predicting outcomes of agent-caller pairs, and so on). Further, if no agents are available for the incoming caller, the method includes holding the caller in a shadow queue, e.g., a set of callers. When an agent becomes available the method includes scanning all of the callers in the shadow queue and matching the agent to the best matching caller within shadow queue.

Methods and systems are provided for routing callers to agents in a call-center routing environment. An exemplary method includes identifying caller data for a caller of a plurality of callers in a queue, and routing the caller from the queue out of queue order. For example, a caller that is not at the top of the queue may be routed from the queue based on the identified caller data, out of order with respect to the queue order. The caller may be routed to another queue of callers, a pool of callers, or an agent based on the identified caller data, where the caller data may include one or both of demographic and psychographic data. The caller may be routed from the queue based on comparing the caller data with agent data associated with an agent via a pattern matching algorithm and / or computer model for predicting a caller-agent pair outcome. Additionally, if a caller is held beyond a hold threshold (e.g., a time, “cost” function, or the like) the caller may be routed to the next available agent.

Methods and systems are disclosed for routing callers to agents in a contact center with an intelligent routing system. An exemplary method includes routing callers to agents based on a pattern matching algorithm utilizing caller data and agent data, where the agent data includes agent satisfaction data from past agent-caller pairings. The agent satisfaction data may be obtained via surveys of the agents regarding their satisfaction with past agent-caller contacts. The agent satisfaction data may be used by the pattern matching algorithm in an attempt to increase agent satisfaction for future calls, thereby potentially reducing attrition of agents and cost to the call center, increasing morale of the agents, and so on. The agent satisfaction data and output from past agent-caller pairings may be weighted by the contact center against other agent data and caller data for a desired mixing of output variables.

Methods are disclosed for routing callers to agents in a contact center, along with an intelligent routing system. One or more agents are graded on achieving an optimal interaction, such as increasing revenue, decreasing cost, or increasing customer satisfaction. Callers are then preferentially routed to a graded agent to obtain an increased chance at obtaining a chosen optimal interaction. In a more advanced embodiment, caller and agent demographic and psychographic characteristics can also be determined and used in a pattern matching algorithm to preferentially route a caller with certain characteristics to an agent with certain characteristics to increase the chance of an optimal interaction.

Methods are disclosed for routing callers to agents in a contact center, along with an intelligent routing system. One or more agents are graded on achieving an optimal interaction, such as increasing revenue, decreasing cost, or increasing customer satisfaction. Callers are then preferentially routed to a graded agent to obtain an increased chance at obtaining a chosen optimal interaction. In a more advanced embodiment, caller and agent demographic and psychographic characteristics can also be determined and used in a pattern matching algorithm to preferentially route a caller with certain characteristics to an agent with certain characteristics to increase the chance of an optimal interaction.

The object of the present invention is to provide a system for evaluating the customer equity of products and services provided by a company, with consideration of customer-purchase trends, and to provide a means for evaluating the ratio of repeat customers and the customer-equity growth ratio by store, region, and / or customer group, and to provide data for establishing an optimal plan for increasing sales. A system 100 for evaluating customer equity according to the present invention comprises a computer system 2 for conducting sales management for a company, and an evaluation computer 10 connected to the computer system 2 via a communications line 5. The evaluation computer 10 comprises a Web server 11, a communications controller 15, an application server 12, and a database 14 for recording purchase records received from a company or store. The database comprises a table of original records 14a for recording purchase records in the order that they are generated, a master table of customers 14b, and a tabulation table 14c for sorting records by time period. The application server 12 comprises a purchase-data collecting means 12a, a customer-equity sorting means 12b, and a customer-equity evaluation means 12c. The customer-equity evaluation means 12c comprises a total-customer-equity tabulating means 12c-1; an average-customer-equity tabulating means 12c-2; a means of tabulating the customer-stability ratio 12c-3; and a customer-equity growth-ratio tabulating means 12c-4.

Methods and systems are provided for routing callers to agents in a call-center routing environment. An exemplary method includes pooling incoming callers, and causing a caller from the pool of callers to be routed. The caller may be routed from the pool of callers to an agent, placed in another pool of callers, or placed in a queue of callers. The caller data may include demographic or psychographic data. The caller may be routed from the pool of callers based on comparing the caller data with agent data associated with an agent via a pattern matching algorithm and / or computer model for predicting a caller-agent pair outcome. Additionally, if a caller is held beyond a hold threshold (e.g., a time, “cost” function, or the like) the caller may be routed to the next available agent.

Methods are disclosed for routing callers to agents in a contact center, along with an intelligent routing system. One or more agents are graded on achieving an optimal interaction, such as increasing revenue, decreasing cost, or increasing customer satisfaction. Callers are then preferentially routed to a graded agent to obtain an increased chance at obtaining a chosen optimal interaction. In a more advanced embodiment, caller and agent demographic and psychographic characteristics can also be determined and used in a pattern matching algorithm to preferentially route a caller with certain characteristics to an agent with certain characteristics to increase the chance of an optimal interaction.

Methods and systems are disclosed for routing callers to agents in a contact center, along with an intelligent routing system. A method for routing callers includes routing a caller, if agents are available, to an agent based on a pattern matching algorithm (which may include performance based matching, pattern matching based on agent and caller data, computer models for predicting outcomes of agent-caller pairs, and so on). Further, if no agents are available for the incoming caller, the method includes holding the caller in a shadow queue, e.g., a set of callers. When an agent becomes available the method includes scanning all of the callers in the shadow queue and matching the agent to the best matching caller within shadow queue.

Methods and systems are disclosed for routing callers to agents in a contact center with an intelligent routing system. An exemplary method includes routing callers to agents based on a pattern matching algorithm utilizing caller data and agent data, where the agent data includes agent satisfaction data from past agent-caller pairings. The agent satisfaction data may be obtained via surveys of the agents regarding their satisfaction with past agent-caller contacts. The agent satisfaction data may be used by the pattern matching algorithm in an attempt to increase agent satisfaction for future calls, thereby potentially reducing attrition of agents and cost to the call center, increasing morale of the agents, and so on. The agent satisfaction data and output from past agent-caller pairings may be weighted by the contact center against other agent data and caller data for a desired mixing of output variables.

Systems and methods are disclosed for routing callers to agents in a contact center, along with an intelligent routing system. An exemplary method includes combining multiple output variables of a pattern matching algorithm (for matching callers and agents) into a single metric for use in the routing system. The pattern matching algorithm may include a neural network architecture, where the exemplary method combines output variables from multiple neural networks. The method may include determining a Z-score of the variable outputs and determining a linear combination of the determined Z-scores for a desired output. Callers may be routed to agents via the pattern matching algorithm to maximize the output value or score of the linear combination. The output variables may include revenue generation, cost, customer satisfaction performance, first call resolution, cancellation, or other variable outputs from the pattern matching algorithm of the system.

Methods and systems are provided for routing callers to agents in a call-center routing environment. An exemplary method includes identifying caller data for a caller in a queue of callers, and jumping or moving the caller to a different position within the queue based on the caller data. The caller data may include one or both of demographic data and psychographic data. The caller can be jumped forward or backward in the queue relative to at least one other caller. Jumping the caller may further be based on comparing the caller data with agent data via a pattern matching algorithm and / or computer model for predicting a caller-agent pair outcome. Additionally, if a caller is held beyond a hold threshold (e.g., a time, “cost” function, or the like) the caller may be routed to the next available agent.

Disclosed is a novel system and process for launching a messaging window such as a chat bot, especially in a mobile platforms such a smart phones and tablets. The process begins with displaying a web page with webpage contents in a browser window with a primary top bar and a display window. In response to receiving user input to scroll the webpage contents of the browser window are scrolled in a horizontal direction, a vertical direction, or a combination thereof. Also, a secondary top bar, as a previously invisible graphical element within the webpage contents of the web page is now displayed in substantial position and with the substantially the same appearance to look like the primary the top bar. In response to receiving user input in the vicinity of the secondary top bar, the system triggers a presentation of a messaging window or chat window.

The present invention relates to methods and systems for automated processing, handling, and facilitating a trade credit transaction. One embodiment of the invention can comprise an automated trade credit processing application engine. The automated trade credit processing application engine can be adapted to approve a customer for a purchase using trade credit, and cause an invoice associated with the purchase to be assigned to a customer sponsor. The automated trade credit processing application engine can be further adapted to determine an advance for a seller sponsor to pay to a seller associated with the purchase, wherein the customer sponsor can guarantee payment of some or all of the invoice to the seller sponsor. Moreover, the automated trade credit processing application engine can be adapted to determine an allocation for the payment, wherein the allocation can be applied by the seller sponsor to an account associated with the seller, after a customer sponsor makes a payment against the invoice to the seller sponsor.