Abstract: The invention concerns a query response device comprising: an input adapted to receive user queries; a memory (106) adapted to store one or more routing rules; one or more live agent engines (116) configured to support interactions with one or more live agents; one or more virtual assistant engines (120) configured to support interactions with one or more virtual assistants instantiated by an artificial intelligence module (103); and a routing module (104) coupled to said live agent engines and to said virtual assistant engines, the routing module comprising a processing device configured: to select, based on content of at least a first user message from a first user relating to a first user query and on said one or more routing rules, a first of said live agent engines or a first of said virtual assistant engines; and to route one or more further user messages relating to the first user query to the selected engine.

Abstract: The invention concerns a query response device comprising: an input adapted to receive user queries; a memory (106) adapted to store one or more routing rules; one or more live agent engines (116) configured to support interactions with one or more live agents; one or more virtual assistant engines (120) configured to support interactions with one or more virtual assistants instantiated by an artificial intelligence module (103); and a routing module (104) coupled to said live agent engines and to said virtual assistant engines, the routing module comprising a processing device configured: to select, based on content of at least a first user message from a first user relating to a first user query and on said one or more routing rules, a first of said live agent engines or a first of said virtual assistant engines; and to route one or more further user messages relating to the first user query to the selected engine

Abstract: The invention concerns a query response device comprising: an input adapted to receive user queries; a memory (106) adapted to store one or more routing rules; one or more live agent engines (116) configured to support interactions with one or more live agents; one or more virtual assistant engines (120) configured to support interactions with one or more virtual assistants instantiated by an artificial intelligence module (103); and a routing module (104) coupled to said live agent engines and to said virtual assistant engines, the routing module comprising a processing device configured: to select, based on content of at least a first user message from a first user relating to a first user query and on said one or more routing rules, a first of said live agent engines or a first of said virtual assistant engines; and to route one or more further user messages relating to the first user query to the selected engine.

Abstract: A method and system optimizes investments for each marketing channel of a multichannel marketing campaign. Past optimal investments are compared to current sales or profits for each marketing channel, and a new optimal investment is estimated for each marketing channel, which may be used as a marketing budget. A marketing dashboard is used to determine the new optimal investments for the marketing channels, and the new optimal investments are stored in a marketing database.

Abstract: The invention concerns a query response device comprising: an input adapted to receive user queries; a memory (106) adapted to store one or more routing rules; one or more live agent engines (116) configured to support interactions with one or more live agents; one or more virtual assistant engines (120) configured to support interactions with one or more virtual assistants instantiated by an artificial intelligence module (103); and a routing module (104) coupled to said live agent engines and to said virtual assistant engines, the routing module comprising a processing device configured: to select, based on content of at least a first user message from a first user relating to a first user query and on said one or more routing rules, a first of said live agent engines or a first of said virtual assistant engines; and to route one or more further user messages relating to the first user query to the selected engine

Abstract: The invention concerns a query response device comprising: an input adapted to receive user queries; a memory (106) adapted to store one or more routing rules; one or more live agent engines (116) configured to support interactions with one or more live agents; one or more virtual assistant engines (120) configured to support interactions with one or more virtual assistants instantiated by an artificial intelligence module (103); and a routing module (104) coupled to said live agent engines and to said virtual assistant engines, the routing module comprising a processing device configured: to select, based on content of at least a first user message from a first user relating to a first user query and on said one or more routing rules, a first of said live agent engines or a first of said virtual assistant engines; and to route one or more further user messages relating to the first user query to the selected engine.

Abstract: The invention concerns a query response device comprising: an input adapted to receive user queries; a memory (106) adapted to store one or more routing rules; one or more live agent engines (116) configured to support interactions with one or more live agents; one or more virtual assistant engines (120) configured to support interactions with one or more virtual assistants instantiated by an artificial intelligence module (103); and a routing module (104) coupled to said live agent engines and to said virtual assistant engines, the routing module comprising a processing device configured: to select, based on content of at least a first user message from a first user relating to a first user query and on said one or more routing rules, a first of said live agent engines or a first of said virtual assistant engines; and to route one or more further user messages relating to the first user query to the selected engine

Abstract: An Object Customization and Management (OCM) system is configured to identify an object for creating a website based on a business objective. The OCM system includes a customizing module configured to determine qualitative attribute categories for a plurality of objects operable to be used in websites. The module assigns the plurality of objects to the qualitative attribute categories. The OCM system also includes a data management module configured to receive a request for one of the plurality of objects to be used to achieve the business objective. This module also matches the business objective with one of the qualitative attribute categories, and selects an object in the matched qualitative attribute category for the request.

Abstract: A digital creative interaction system receives a request for creative briefs for the target consumer group from a client and determines parameters of the request for creative briefs. The digital creative interaction system issues the request for creative briefs to a plurality of sources. The digital creative interaction system, in response to issuing a request for creative briefs, receives creative briefs and corresponding bids. The digital creative interaction system deploys each of the creative briefs to the target consumer group and captures user behavior data responsive to the deployed creative briefs.

Abstract: A method and system optimizes investments for each marketing channel of a multichannel marketing campaign. Past optimal investments are compared to current sales or profits for each marketing channel, and a new optimal investment is estimated for each marketing channel, which may be used as a marketing budget. A marketing dashboard is used to determine the new optimal investments for the marketing channels, and the new optimal investments are stored in a marketing database.

Abstract: An Object Customization and Management (OCM) system is configured to identify an object for creating a website based on a business objective. The OCM system includes a customizing module configured to determine qualitative attribute categories for a plurality of objects operable to be used in websites. The module assigns the plurality of objects to the qualitative attribute categories. The OCM system also includes a data management module configured to receive a request for one of the plurality of objects to be used to achieve the business objective. This module also matches the business objective with one of the qualitative attribute categories, and selects an object in the matched qualitative attribute category for the request.

Abstract: A system for touchpoint content action customization at a current touchpoint to achieve a business objective includes a user touchpoint data capture unit and a content action optimization engine. The content action optimization engine is configured to select a plurality of candidate content actions for the current touchpoint based on content action metadata, to determine an observed percentage of success for an observed user behavior for each of the plurality of candidate content actions based on the user group to which the user belongs, and to determine a customized content action of the plurality of candidate content actions to implement at the current touchpoint to achieve the business objective that has the highest observed percentage of success.

Abstract: A system is configured to optimize an Internet marketing channel for a multichannel marketing campaign. The system includes an optimization model storage unit storing a plurality of optimization models for optimizing the Internet marketing channel. The system also includes a statement unit determining an estimated miniature profit and loss (P&L) for each item of the Internet marketing channel. The miniature P&L for each item links a potential investment in the item with estimated revenue and profit for the potential investment. A revenue response unit generates revenue response data for each item based on the miniature P&L for each item, and a profit response unit generates profit response data for each item based on the miniature P&L for each item.