A mobile device generates a purchase incentive for use at a merchant, by analyzing location data (GPS coordinate data or wi-fi location data) to determine its location, determining a merchant proximate to the location of the mobile device, generating a purchase incentive for use by the mobile device at the merchant, periodically evaluating its location as it travels along a route, and modifying the purchase incentive as a function of a change in location of the mobile device.

The present invention relates to systems and methods for automated audit analysis and providing of cost reduction recommendations associated with services used and/or received by an entity. In general, invoice data associated with a service associated with an entity (e.g. a customer) is obtained and processed in order to identify at least one of billing errors and inefficiencies. The processing of invoice data is generally performed by computationally identifying relevant invoice information and comparing this information with data from a proprietary service optimization database. When errors and/or inefficiencies are identified, recommendations to remedy the inefficiencies and/or errors are provided to the entity so that cost reduction actions can be taken.

A system is provided that uses location aware technologies in a variety of environments including retail environments and workplace environments. Location aware technologies associated with computing devices such as mobile phones are used to track users as they move within an environment. With respect to retail environments, a loyalty application may be installed in the phone of a customer that can provide the location of the customer to the retail environment. When it is determined that the customer is near the retail environment, a user profile associated with the customer can be used to select offers or promotions that can be displayed to the customer by the loyalty application to encourage the customer to enter the retail environment. When it is determined that the customer is inside the retail environment, the location of the customer can be used to determine where to dispatch an employee to interact with the customer.

A computer-implemented method of object linking from captured media records media (audio or video) from a scene of a program (e.g., TV show, movie or other similar audio visual content), identifies the program and the program scene from a watermark embedded in the captured media or by fingerprinting the captured media and matching the fingerprint to determined fingerprints in a database that relates determined fingerprints to programs and program scenes, determines participants in scene from a participant database that relates participants to programs and program scenes, generates links to objects and online commerce sites offering the linked objects. Records for the objects are contained in a virtual repository, a database that relates users (e.g., participants) to object records.

A device may receive access information that permits access to messages associated with an electronic messaging account. The device may process the messages associated with the electronic messaging account to identify one or more of the messages that include at least one coupon after receiving the access information. The one or more of the messages may be identified using at least two of an image processing technique, a text processing technique, or a code processing technique. The device may store information identifying the one or more of the messages that include the at least one coupon after processing the messages. The device may perform one or more actions to facilitate use of the at least one coupon in association with completing a transaction.

The present teaching relates to exploring a personal interest space based on a decision tree. In one example, information related to a personal interest space associated with a user is obtained. The personal interest space includes at least one channel of content that the user is interested in. A decision tree created based on information related to a plurality of users with respect to a plurality of channels of content is obtained. Each node of the decision tree is associated with at least one of the plurality of channels of content. A first node of the decision tree is identified based on the information related to the personal interest space associated with the user. A question for the user in connection with the first node of the decision tree is determined. An answer to the question is received from the user. A second node of the decision tree is identified based on the answer. The personal interest space associated with the user is updated based on the at least one channel of content associated with the second node of the decision tree.

Systems and techniques for facilitating automatically coordinated social buying are provided. In various embodiments, a processor can receive an electronic request from a merchant device, which identifies a team deal. In various aspects, the processor can access a plurality of transactional browsing histories that are recorded by a respectively corresponding plurality of monitorial browser extensions, with each monitorial browser extension being installed on a respectively corresponding client device. In various instances, the processor can execute a machine learning model on each transactional browsing history, thereby determining whether the transactional browsing history demonstrates interest in the team deal. In various cases, for each transactional browsing history that demonstrates interest in the team deal, the processor can invite a user of a client device corresponding to the transactional browsing history to participate in the team deal.

A method including receiving a digital promotion payload from a brand manufacturer for at least one branded consumer packaged good, the digital promotion payload including a digital promotion value associated with the branded consumer packaged good, is provided. The method includes receiving a bid request to the digital promotion engine, providing a bid response to the bid request, the bid response including the digital promotion payload, and receiving, from the supply side platform, a confirmation that the bid response has been selected from one or more bids from different digital advertising entities. The method includes providing a command to the supply side platform to deliver the digital promotion payload to a mobile device accessing a resource from the mobile display publisher, and loading the digital promotion value to a frequent shopper identification in response to a consumer interaction with the digital promotion payload detected from the mobile device.

Systems, apparatuses, and methods are described for determining a consumer's engagement with a brand of the business by tracking the consumer's activities in multiple platforms, such as social media platforms, content platforms, gaming platforms, other retailers, streaming video providers, service providers, etc. Method are described for probabilistically granting users variations of items that are otherwise being acquired. The granting may be random, but probabilities may be boosted based on the consumer's activities in the platforms.

Product offering systems are provided. Product offering systems may include sending an offer to a customer that possesses a mobile computing device and has agreed to receive offers for products via the mobile computing device. Agreeing to receive offers would result in the unique data about the customer being available to offer provider. Unique customer data may include data related to the customers wireless service provider or from a financial account in a financial institution, and collecting customer data about the customer, wherein the customer data comprises financial data and personal data. Product offering systems may further include registering a wireless computing device of the customer to able the device to receive the offer, and determining opportunities to send the offer to the customer by monitoring the customer and the customer data. Product offering systems may also include sending the offer to the customer's registered device based on the determination of opportunities.