Systems and methods for identifying and correlating an advertised object with a plurality of interconnected computing devices embedded in a living environment of the user. For example, a media guidance application implemented at a set-top box with a television may receive a signal from a printer indicating that cartridge ink is low. When the user is watching a television show and an advertisement relating to printer cartridges is being played, the media guidance application may identify that the advertised printer cartridges may be something that the user needs, and may then send a notification to a user of the advertisement. In this way, the media guidance application correlates advertisements from a media asset with a user's actual needs, which may improve the advertisement conversion rate for advertisers.

A method for in-store product fulfilment in a retail store having a retail display space and an inventory station in an inventory area where expensive products are stored to avoid theft and bulky products are stored to conserve retail display space. The method involves a step having an electronic request for a product being sent directly from an in-store customer in the retail display space. This electronic request is directed to the inventory station. The method involves a step of having the inventory station send an order confirmation to the in-store customer acknowledging the electronic request, confirming to the in-store customer that the product is available in inventory and directing the customer to proceed to a designated pick up point at the conclusion of their shopping.

Systems and methods for identifying an audience set are disclosed. A request receive identifying a future time period and item class is received and a conversion value for each of a set of user identifiers is generated by implementing a trained statistical machine learning model using historical transaction data. A first subset of user identifiers and a second subset of user identifiers are identified based on threshold values of the conversion value. The subsets are each associated with targeted advertisement types corresponding to a particular level of specificity associated with the requested item class. The first targeted advertisement type is presented to user devices associated with the first subset of user identifiers and the second targeted advertisement type is presented to user devices associated with the second subset of user identifiers.

Methods and systems described in this disclosure can identify, from a social media listening device, content items posted by a plurality of users, where each of the content items is associated with a social handle. Each of the content items can be mapped to a user identifier associated with a user or a potential user of a service using the social handle. A subset of the mapped content items can be created by selecting the mapped content items that correspond to an event based on content. The mapped content items are then categorized based on the corresponding events in the content items. Service or product opportunity leads can be determined from the mapped and categorized content items.

Provided is a computer-implemented process for determining offers for a geofenced geographic area. After a mobile user device traverses a geofence, merchants associated with a geofence having a geofence identifier are identified. Candidate offers associated with the merchants are identified and ranked according to ranking criteria. The ranked candidate offers are transmitted to a mobile user device. The ranked candidate offers are cached on the mobile user device and presented to the user via an offers notification. The user may view and redeem an offer by selecting the offers notification.

Disclosed is a computer implemented method of providing business intelligence based on user behavior. The method may include a step of receiving a user identifier associated with the user from a requesting entity, such as a server computer. Further, the method may include a step of identifying an anonymous identifier corresponding to the user identifier. Additionally, the method may include a step of retrieving anonymous user behavior data based on the anonymous identifier. Furthermore, the method may include a step of transmitting the anonymous user behavior data to the requesting entity. Accordingly, the anonymous user behavior data may be used by the requesting entity to, for example, to enrich data, such as CRM data, of the user with the anonymous user behavior data.

Methods and systems for determining reach information. Watching habits of viewers in a designated market can be analyzed using machine learning algorithms to obtain campaign spot plans. The campaign spot plans can be applied to single viewer data to calculate campaign spot plan Television Average Ratings Points (TARP) pattern information. The TARP pattern information can be translated into reach information determining how many people were uniquely exposed to each campaign spot.

Service provider (SP) system within a special purpose hardware platform operable to present an advertisement campaign to a potential customer, including a contact indicium. The SP system may include a contact interface, such as a short message service terminal, telephone interface, or web-based server interface, for establishing contact with the prospective customer. The contact interface may be used to determine, and store contact information associated with the prospective customer, which is associated with the advertisement campaign and provided to the service provider for further processing.

Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform: receiving in-session user activity entered into on an initial graphical user interface (GUI) from a user electronic device of a user; pre-processing the in-session user activity to determine one or more intents of the in-session user activity; comparing the one or more intents of the in-session user activity with one or more complementary intents; and coordinating displaying a complimentary GUI on the user device of the user based on the one or more complementary intents. Other embodiments are disclosed herein.

In some examples, a system can include at least one processor and a memory storing instructions. In various examples, the at least one processor executes the instructions to, during a chat session, obtain, from a computing device of a first user, session data associated with the chat session and a first user. Additionally, the at least one processor executes the instructions to obtain a first set of data identifying a set of price drop items associated with the chat session, and obtain a second set of data identifying a set of attribute values associated with one or more attribute features of each item type. Based on the first set of data and the second set of data, the at least one processor may execute the instructions to implement a first set of operations that generate a third set of data. In some examples, the third set of data including affinity value data for each item of the set of price drop items. Moreover, the at least one processor executes the instructions to obtain a fourth set of data identifying a set of items and a score for each item of the set of items. In some examples, the score characterizing a likelihood the user will purchase the corresponding user during a future time interval. Further, the at least one processor may execute the instructions to, implement a second set of operations that generates a fifth set of data, based on the third set of data and the fourth set of.