Embodiments of systems and methods for the aggregation, analysis, display and monetization of pricing data for commodities in general, and which may be particularly useful applied to vehicles are disclosed. Specifically, in certain embodiments, historical transaction data associated with a particular vehicle configuration may be obtained and processed to determine pricing data associated with the vehicle configuration. The historical transaction data or determined pricing data may then be presented in an intuitive manner.

Aspects of the subject disclosure may include, for example, dividing a reward token in a reward token data base into a plurality of reward token pieces based on a selection of plurality of end user data delivery vehicles, sensing end user activity on a communication network on one of the plurality of end user data delivery vehicles at one of a plurality of data delivery vehicle servers, sending from a first one of the plurality of data delivery vehicle servers, a first one of the plurality of reward token pieces to the end user on a first one of the plurality of end user data delivery vehicles, and sending from a second one of the plurality of data delivery vehicle servers, a second one of the plurality of reward token pieces to the end user on a second one of the plurality of end user data delivery vehicles.

Aspects of the subject disclosure may include, for example, dividing a reward token in a reward token data base into a plurality of reward token pieces based on a selection of plurality of end user data delivery vehicles, sensing end user activity on a communication network on one of the plurality of end user data delivery vehicles at one of a plurality of data delivery vehicle servers, sending from a first one of the plurality of data delivery vehicle servers, a first one of the plurality of reward token pieces to the end user on a first one of the plurality of end user data delivery vehicles, and sending from a second one of the plurality of data delivery vehicle servers, a second one of the plurality of reward token pieces to the end user on a second one of the plurality of end user data delivery vehicles.

In one aspect, an example method to be performed by a vehicle-based media system includes (a) receiving audio content; (b) causing one or more speakers to output the received audio content; (c) using a microphone of the vehicle-based media system to capture the output audio content; (d) identifying reference audio content that has at least a threshold extent of similarity with the captured audio content; (e) identifying visual content based at least on the identified reference audio content; and (f) outputting, via a user interface of the vehicle-based media system, the identified visual content.

The present disclosure provides a method for generating an index score. The method may comprise (a) obtaining data associated with a plurality of interactions between (i) a plurality of sales representatives and (ii) a customer; (b) for each sales representative: (i) processing the data to determine a plurality of components of the index score; (ii) applying a plurality of weights and standardizations to the plurality of components to generate a plurality of metrics; (iii) aggregating the plurality of metrics to generate the index score, wherein the index score is indicative of an effectiveness of the sales representative in interacting with the customer; (c) selecting, based on the index scores of the plurality of sales representatives, a sales representative of the plurality of sales representatives; and (d) displaying, on a graphical user interface of an electronic device of the sales representative, a recommended interaction between the sales representative and the customer.

Under collective buying, quantity discounts are offered based on buyers aggregated purchasing quantity instead of individual purchasing quantities. As the price decreases with the total amount, buyers have positive externalities that allow them to obtain lower prices than they would otherwise be able to get individually (Chen and Roma 2011, 181).

Although collective buying has been widely used for business-to-business and business-to-consumer transactions (Chen and Roma 2011, 181), there is an underlying problem with the use of discount vouchers as they can call into question the reliability that the minimum number of buyers will make the purchase. In practice, once discount vouchers have been delivered, the minimum order quantity set by the seller is significantly greater than the aggregated quantity purchased.

CollectiveBuying.io (CB) discovered new processes that are unique and valuable improvements to the traditional collective buying model. CB’s techniques solve existing problems, can adapt to find fast solutions, and can prevent future problems. In the problem mentioned previously, CB’s cryptographic methods provide a means by which the buyers demonstrate a Commitment-to-Purchase to increase the aggregated quantity purchased. In addition, CB’s improved model operates on blockchain cryptography to provide buyers with the additional benefits of authentication, authorization, anonymization, and accountability.

CB is a method for use in the practice, administration, and management of economic models; the processing of financial data; and when determining the exchange of goods or services. Furthermore, CB is a model, a design, a process, and an improvement for data subject to authentication, authorization, anonymization, and other security through techniques such as digital rights management, encryption, tokenization, biometrics, device profiling, localization, timing, risk or fraud assessment, distributed ledger transactions, cryptocurrency transactions, software licensing, and voting (United States Patent and Trademark Office [USPTO]).

Embodiments of the present invention provide systems and methods for evaluating and weighting resource usage activity data. The system may establish a communicable link to a user device via a user application to receive resource activity data and historical data from one or more users or systems via multiple communication channels. The system may evaluate the historical data and determine evaluation criteria based on perceived chance of loss associated with particular metadata characteristics, and use the evaluation criteria as weighted metrics for determining an overall evaluation score for the user based on indication from resource activity data that the user has conducted resource transfers with entities or channels identified in the historical data.

A method and system for crediting a reward to an electronic wallet account, wherein an electronic wallet account is pre-established for a user who has a pre-authorized electronic device with an electronic wallet application module, a reward application module and an image processing application module. A table of identifiers associated with a reward is pre-established, and the identifier is encoded in an image to be shown on a product. A registration of the user as a participant in a campaign is pre-established. Identifier information contained in an image captured by the electronic device is received, and it is determined whether the identifier information is in the table of identifiers. The reward associated with the user's electronic wallet account is credited, the identifier is removed from the table of identifiers, and notification of the crediting of the reward is provided.

Business methods related to contests, coupons, and advertising are described. Methods according to the disclosure can include methods related to movies and/or films, and can include company and/or product placement within the movies/films. The movies/films can be released in segments to users, and can be made using user input.

A gift redemption system may include a gift processing server configured to accept a gift value for a gift product for a gift recipient, and permit selection of a retailer from among retailers for the gift product. The gift processing server may also be configured to associate a gift recipient identifier with the gift recipient, and permit selection of a redeemable gift value from the gift value. The system may also include a retailer server associated with the selected retailer. The system may also include a gift redemption server configured to obtain the redeemable gift value and the gift recipient identifier, and cooperate with retailer server to generate a gift discount identifier for use by the gift recipient at a point-of-sale (POS) of the gift product based upon the redeemable gift value and the gift recipient identifier.