A method to create advertisement and sales trackability is provided. The method includes collecting a consumer data and retrieving, from a publishing server, a media data linking an audience with a content provided by the publishing server, the content including an advertisement for a product, and retrieving a retailer data indicative of a purchase track record of the product. The method also includes identifying one or more attributes of a population segment associated with the consumer data, the media data, and the retailer data, determining an adjustment factor indicative of a statistical data associated with the population segment, and generating, based on the adjustment factor, a measurement scheme to support a decision to modify, improve, or cancel a campaign. A system and a non-transitory, computer-readable medium storing instructions to perform the above method are also provided.

A method for providing geospatial information for clustered merchants based on proximate transactional data is disclosed. The method includes retrieving, via an application programming interface, transaction data for a geographical location that corresponds to the clustered merchants based on a predetermined parameter; identifying, from the transaction data, the proximate transactional data that correspond to the clustered merchants; linking transactions in the proximate transactional data to each of the clustered merchants; computing a weighted score for each of the transactions based on a characteristic; calculating a transaction centroid for each of the clustered merchants by using the corresponding weighted score and a result of the linking; and determining the geospatial information for each of the clustered merchants based on a distance to the corresponding transaction centroid.

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.

Techniques are disclosed utilizing cognitive computing to improve commercial communications from vendors to users. A user's financial account(s) and location may be monitored to determine when a user is within a threshold distance of a vendor. If the user is within the threshold distance the methods and systems disclosed may determine which targeted commercial communications to transmit to the user based upon a shopping profile for the user. The shopping profile may include a dataset indicative of the shopping habits of the user.

A service provider may receive merchant analytics information from a plurality of merchant devices. In some examples, the service provider may generate a model based at least in part on the merchant analytics information, the model including a core set of features for predicting a merchant metric associated with a merchant. The service provider may detect a lift in an observed value of the merchant metric based at least in part on a residual value of the merchant metric at a location of the lift, and add an additional feature to the model to cause a predicted value of the merchant metric to correspond to the observed value of the merchant metric at the location of the lift. The service provider may further send information associated with the feature to a merchant device associated with the merchant. As an example, the information may include a prediction for the merchant metric and/or a recommendation for improving the business of the merchant.

Transaction-enabled methods for providing provable access to a distributed ledger with a tokenized instruction set for polymer production processes are described. A method may include accessing a distributed ledger comprising an instruction set for a polymer production process and tokenizing the instruction set. The method may further include interpreting an instruction set access request and providing a provable access to the instruction set. The method may further include providing commands to a production tool of the polymer production process and recording the transaction on the distributed ledger.

Actual item prices and actual baskets of item prices are aggregated for a configured region across multiple retailers within the region based on transaction data for the multiple retailers. The prices are analyzed for benchmarks, trends, and abnormalities in view of item and basket prices for a requesting retailer and in view of the requesting retailer's defined pricing goal. The benchmarks and trends are delivered to the requesting retailer via a pull technique and any abnormal pricing is provided to the requesting retailer via a push technique.

A method and system for identifying statistically significant changes in user ratings includes receiving a request to identify a statistically significant change in a parameter associated with changes in user ratings between a first time period and a second time period, retrieving data from a first data structure associated with the user ratings during the first time period and a second data structure associated with the user ratings during the second time period, each of the first and the second data structures including a plurality of dimensions for each user rating and each dimension having one or more levels, identifying, based on the retrieved data, the statistically significant change in the parameter between the first time period and the second time period, identifying a dimension and a level associated with the identified statistically significant change, and providing display data for generating a user interface (UI) screen to display information about the identified statistically significant change.

With an offer server computer system: receiving a first digital image file; receiving a first mapping of product codes to audience segment identifiers; receiving a temporary price reduction offer dataset; mapping a target identifier for an end user device of a consumer to an audience segment identifier; in response to determining, based on the audience segment identifier, that the TPR offer dataset has a product code and a retailer identifier that map to the audience segment identifier, and an effective date value that includes a current date value, and the retailer identifier corresponds to a retailer location within a specified distance of a then-current location of the end user computing device: creating and storing a digital offer dataset comprising both the first digital image file and a second digital image file that presents data elements of the TPR offer dataset; causing transmission of the dataset to the end user device.

A rule-based reasoning system may receive first transaction-level data for a first transaction that indicates a first transaction amount of the first transaction and a first merchant associated with the first transaction. The system may determine first item-level data for the first transaction that indicates one or more line items associated with the first transaction. The system may infer second item-level data for a second transaction based on the first item-level data and based on: a determination that a second merchant, associated with the second transaction, matches the first merchant associated with the first transaction, and a determination that a second transaction amount, associated with the second transaction, matches the first transaction amount or satisfies a condition that is based on a calculation performed using the first transaction amount and the second transaction amount. The system may output an indication of the second item-level data associated with the second transaction.