Abstract: The subject application relates to a system and method for evaluating software development and includes selecting a plurality of parameters and calculating product achievement rate according to the parameters. In this method, the parameters include bug-fixed score and at least one of the following scores: SLO-enhancement score, on-time score and stability score. According to the subject application, it is possible to evaluate the project achievement in a more accurate way, and it could motivate the software engineers to make the software better and therefore the software development may be improved.

Abstract: Systems and methods for evaluating the physical and/or cosmetic condition of electronic devices using machine learning techniques are disclosed. In one example aspect, an example system includes a kiosk that comprises an inspection plate configured to hold an electronic device, one or more light sources arranged above the inspection plate configured to direct one or more light beams towards the electronic device, and one or more cameras configured to capture at least one image of a first side of the electronic device. The system also includes one or more processors in communication with the one or more cameras configured to extract a set of features of the electronic device and determine, via a first neural network, a condition of the electronic device based on the set of features.

Abstract: An embodiment of the invention may include a method, computer program product, and system for unified data governance. The embodiment may include populating a context graph with to-be-governed data, by a machine learning framework in communication with a suite of enterprise application servers via one or more connector components. The to-be-governed data is retrieved from the suite of enterprise application servers. The embodiment may include training a plurality of machine learning models using the context graph and the to-be-governed-data based on user-defined parameters. The embodiment may include persisting properties of the plurality of machine learning models back to the context graph.

Abstract: This application relates generally to an omnichannel procurement orchestration system. Systems and methods for generating a recommendation for procuring a product or service by a purchaser entity are provided. An exemplary method includes accessing data for transactions associated with a proposed procurement transaction between one of a plurality of purchaser entities and one of a plurality of supplier entities. The data is received from a plurality of disparate data sources and by way of a plurality of disparate procurement channels. The method includes determining a quantifiable feature or attribute associated with the proposed procurement transaction. The method further includes generating a recommendation for acting upon the quantifiable feature or attribute, and providing the recommendation to the one of the plurality of purchaser entities or the one of the plurality of supplier entities.

Abstract: A fine-grain analytics engine and a report/notification interface are provided. The fine-grain analytics engine is configured to be customized configured for fine-grain projections and metrics generation for operations of an enterprise. The report/notification interface provides an Application Programming Interface (API) and an interactive graphical display interface for reporting and integrating the projections and metrics generated by the fine-grain analytics engine into enterprise services and enterprise devices.

Abstract: Systems, computer program products, and methods are described herein for intelligent assessment models for non-fungible electronic resources. The present invention is configured to receive, from a user input device, a request to value a non-fungible token (NFT) of a resource, wherein the NFT is recorded in a distributed ledger; retrieve, using a valuation engine, one or more attributes associated with the NFT from one or more metadata layers of the NFT; initiate a machine learning model on the one or more attributes associated with the NFT; predict, using the machine learning model, a value of the NFT; and transmit control signals configured to cause the user input device to display the value of the NFT.

Abstract: An autonomous futures contract orchestration platform includes a set of processors programmed with a set of non-transitory computer-readable instructions. The instructions include receiving, from a data source, an indication associated with a product that relates to an entity that purchases or sells the product. The instructions include predicting a baseline cost of purchasing or selling the product at a future point in time based on the indication. The instructions include retrieving a futures cost, at a current point in time, of a futures contract for an obligation to the purchasing or selling the product for delivery or performance of the product at the future point in time. The instructions include executing a smart contract for the futures contract based on the baseline cost and the futures cost. The instructions include orchestrating the delivery or performance of the product at the future point in time.

Abstract: A method for providing accident parameters to a person outside a vehicle after an accident includes ascertaining a first accident parameter that is representative of the severity and/or a consequence severity using a control unit of the vehicle, and determining a display device of the vehicle that can display the first accident parameter following the accident. The first accident parameter is provided on the determined display, and a second accident parameter that is representative of the severity and/or the accident consequence severity is ascertained. The method also includes receiving a release signal for the second accident parameter from the person outside the vehicle following the accident involving the vehicle, and verifying the release signal for the second accident parameter using the control unit of the vehicle. The second accident parameter is provided on the determined display if the release signal was successfully verified by the control unit of the vehicle.

Abstract: The invention receives an indication that a resource has been restored using a first resource portion and retrieves from a metadata layer of a first NFT associated with the resource portion, a value of the first resource portion; retrieves a second NFT associated with the resource; and links the first NFT associated with the first resource portion with the second NFT associated with the resource by recording such link at least in a metadata layer associated with the second NFT on a distributed ledger. The system retrieves from a metadata layer of the second NFT, a value of the resource and determines, using an NFT valuation engine, a new value of the resource, wherein the new value for the resource is based on at least a value of the first resource portion. The system records the new value in a metadata layer associated with the second NFT.

Abstract: A system can receive an order to install a first data center on customer premises, wherein the first data center comprises a first instance of a virtualized overlay network and a first instance of virtualized volume identifiers. The system can, in response to determining that installing the first data center is threshold likely to take at least a defined amount of time to install, instantiate a second data center for the customer account at a colocation site, wherein the second data center comprises a second instance of the virtualized overlay network a second instance of the virtualized volume identifiers. The system can operate customer workloads using the second data center. The system can, after instantiating the second data center, and in response to determining that the first data center is operational, switch the operating of the customer workloads from the second data center to the first data center.

Abstract: An apparatus for cryptographic resource transfer based on quantitative assessment regarding non-fungible tokens is presented. The apparatus includes at least a processor and a memory communicatively connected to the at least a processor containing instructions configuring the at least a processor to receive a user profile representing a user and an associated cryptographic security, a user digest, and a temporal resource request. The at least a processor is configured to determine a predictive quantifier of the user profile, identify a resource-backed entity to the user as a function of the predictive quantifier, wherein the resource-backed entity includes a cryptographic resource, and generate a token entry. The token entry includes a conditional trigger configured to enable a cryptographic transfer of the cryptographic security and the cryptographic resource, wherein the token entry is configured to be deployed on an immutable sequential listing.

Abstract: A system and method for providing model-based promotion and price computation is described in which promotional offers in the form of promotion information from a manufacturer are combined with price determination parameters from the retailer to calculate a final retail price. The system prevents fraud by eliminating the heavy dependence on unverifiable trust between the retailer and manufacturer and by assuring that the consumer will receive the benefit of the promotions intended by the manufacturer.

Abstract: According to certain aspects of the disclosure, a computer-implemented method may be used for regulating vehicle stock. The method may include receiving one or more queries indicative of one or more characteristics of a vehicle for purchase by a user and determining based on the one or more queries indicative of the one or more characteristics of the vehicle, at least one vehicle available for purchase at a location of a merchant. The method may also include determining a quantity of the at least one vehicle purchased and assigning a value to the at least one vehicle based on the quantity of the at least one vehicle purchased and a quantity of received queries about the vehicle. The method may also include transmitting the value to the user, with a recommendation regarding the at least one vehicle available for purchase based on the value.

Abstract: A method of determining one or more damage states of one or more auxiliary parts of a damaged vehicle, the vehicle comprising a plurality of normalized parts and at least some of the normalized parts further comprising one or more auxiliary parts. The method includes receiving one or more images of the vehicle, using a plurality of classifiers, each determining at least one classification of damage to the vehicle, each said classification being determined for each of a plurality of normalized parts of the vehicle, determining one or more classifications for the plurality of auxiliary parts using one or more trained models, wherein each classification comprises at least one indication of damage to at least one auxiliary part and outputting the determined damage states of the one or more auxiliary parts.

Abstract: A method for price optimization for a product or service at a store using machine learning is disclosed. The method includes determining a price through a reaction model, positioning model, and a forecast model. The reaction model includes determining the probabilities of a competitors' pricing reaction due to the store's price changes. The positioning model includes determining conditional probabilities for attaining an objective and/or sub-objective based on store and competitor's data. The conditional probabilities are used for generating a price proposal for achieving the objective and/or sub-objective. The forecast model provides a forecast for factors such as volume sale using machine learning.

Abstract: 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 acts of: determining price bands for an item type category; associating items included in the item type category with the price bands; analyzing, using an affinity prediction model of the machine learning architecture, price band activity data indicating interactions of a user with respective items included in each of the price bands for the item type category; and generating one or more price affinity predictions for the user based, at least in part, on the price band activity data, wherein the one or more price affinity predictions predict a preference of the user for respective items associated with one or more of the price bands. Other embodiments are disclosed herein.

Abstract: Systems, computer program products, and methods are described herein for real-time assessment of authenticity of a resource using non-fungible tokens (NFTs). The present invention is configured to receive, from a computing device of a user, an indication that a resource has been restored using a first resource portion, wherein the resource is associated with a first NFT; retrieve an NFT associated with the first resource portion; retrieve a value of the NFT associated with the first resource portion; generate, using the NFT generator, a second NFT for the resource; link the NFT associated with the first resource portion with the second NFT; determine, using an NFT valuation engine, a value for the second NFT based on at least a value of the NFT associated with the first resource portion; and record the second NFT on a distributed ledger.

Abstract: Systems and methods for assessing the needs of customers using predictive modeling techniques are disclosed. The method receives customer data from a first database and provided by the user. The method generates an instruction to a second database and receives additional customer information received from external databases to generate a basic profile for data based on the customer. The system further analyzes data provided by the user. The method generates a customer profile based on the basic customer data and additional data. The method determines missing data from the customer profile associated and a set of attributes of the user. The method identifies a profile with the customer similar set of attributes and estimates the missing data using predictive modeling techniques to generate estimated customer information. The system further pre-populates one or more missing fields of the full profile associated with the customer based on said estimated customer information. The system.

Abstract: The system and method described herein provide an order fulfillment database system. The order fulfillment database system may provide a high throughput speed, high availability, redundancy, and scalability. The order fulfillment database system supports very fast transaction times for atomicity, consistency, isolation, and durability (ACID) transactions. Order services instances at a primary cluster provide in-memory databases that service segments of the persistent database and are associated with different order fulfillment entities. A routing manager routes database messages to the appropriate order services instance. A secondary cluster of order services instances provides redundancy. A retry procedure preserves the integrity of the database transactions based on a current operational state of the primary order services instances.

Abstract: A data linkage system includes an API platform that provides an API for acquiring data, which is based on data stored in a data storage system for storing data collected by a data collection system and held by an information system, from the data storage system. The API platform includes servers that execute processing to acquire the data from the data storage system in response to a request for use of the API for each classification based on at least one of a predicted processing time level, which indicates duration of a predicted time for the processing to acquire the data in response to the request for the use of the API, and a predicted response data amount level, which indicates a predicted data amount responding to the request.

Abstract: Transaction-enabling systems and methods are disclosed. A system may include a controller to interpret a resource utilization requirement for a task system and a plurality of external data sources. The system may further include an expert system to predict a forward market price for a resource in response to the resource utilization requirement and the plurality of external data sources. Then, in response to the predicted forward market price, the controller may execute a transaction on a resource market.

Abstract: A computer-implemented method for determining auction prices of vehicles may include obtaining wholesale auction price data indicative of wholesale auction prices and vehicle attribute values of a plurality of vehicles; grouping the plurality of vehicles into a plurality of vehicle groups respectively associated with a plurality of characteristics; determining a plurality of regression models respectively based on the plurality of vehicle groups; obtaining information describing a target vehicle; based on the target-vehicle values and values for the one or more economic indicators, determining an estimated wholesale auction price of the target vehicle using an identified regression model of the plurality of regression models; determining a discount factor representing an expected discount of a post-repossession auction price of the target vehicle from the estimated wholesale auction price; and determining an estimated post-repossession auction price of the target vehicle based on the estimated wholesale aucti

Abstract: Methods and systems are described for optimizing markdown schedules for clearance items at physical retail stores. For example, price sensitivity of a current inventory item at a physical retail store may be modeled using techniques that account for differences in operating behavior and data availability at physical stores versus online channels for selling items. When the current item is placed on clearance at the physical retail store, a request for a markdown schedule, including goals for the clearance, may be received. The forecasted price sensitivity of the current item may be adjusted based on actual price sensitivity of one or more past clearance items (e.g., based on actual clearance sales data) determined to match the current item. An optimal markdown schedule for the item may then be determined based, at least in part, on the adjusted price sensitivity of the item and clearance goals.

Abstract: A mechanism is provided to proactively forecast gross margin for a business unit of an organization utilizing machine learning techniques. Embodiments provide a cascading-architecture machine-learning model to predict gross margin for a period (e.g., an upcoming quarter), utilizing metrics both internal and external to the organization. Internal metrics can include list price change, discounting change, cost impact, and the like. External metrics can include customer information such as propensity to purchase and purchase consumption.

Abstract: A system and a method for assigning a tutor to a cohort of students. The system receives information from a tutor. The information comprises a name, academic details, preferred languages, a subject of interest, a topic of interest, an introductory video of the tutor, and available time slots. The system further automatically generates a question for a tutor in real-time based on the information. Furthermore, the system receives an answer to the question from the tutor in an answer format. Subsequently, the system generates an assessment report of the tutor. Further, the system computes a similarity index of the tutor with a profile of a cohort of the students. Finally, the system assigns the tutor to the cohort of the students based on the similarity index, feedback received from the cohort of the students, and the available time slots of the tutor.

Abstract: Apparatuses and methods associated with preserving authentication under item change are disclosed herein. In embodiments, acquiring digital image data of an image of at least a portion of a target physical object; extracting features from the image data to form a digital fingerprint; querying the database system to seek a matching record based on the digital fingerprint; based on an amount of difference between the digital fingerprint and a stored digital fingerprint of the database, update the database system to output a new indication of a new match to the physical object for any new samples that are not matchable to the stored digital fingerprint within a first predetermined similarity threshold provided the new samples are matchable to the digital fingerprint within a second predetermined similarity threshold. Other embodiments may be disclosed or claimed.

Abstract: The invention describes a distributed merchandise management system, in which the client, retailer and the manufacturer are linked by a network. This is implemented by a cloud storage (105), the cloud storage (105) comprising a means (105a) for storing data, a means for receiving first data from a first network node (110), the first data being associated with a physical object, a means for receiving request data from a second network node (120), a means for receiving second data from a third network node (130), the second data being associated with the first data and comprising at least one data piece adapted to change the first data depending on the received request data, a means for changing the first data based at least in part on the second data and the request data, and a means for sending a changed portion of the first data from the cloud storage (105) to the first network node (110).

Abstract: Systems and methods are disclosed for receiving, from a client device, a request to generate a value for a subject real-estate property, searching a database to identify a plurality of real-estate properties that have previously been sold, and automatically generating, based on a sale price of each of the plurality of real-estate properties, the value for the subject real-estate property. The systems and methods further provide for computing a collective physical state of the plurality of real-estate properties, determining whether the collective physical state corresponds to a threshold, and generating a prompt, based on the determination of whether the collective physical state corresponds to the threshold, for display on an operator device to review the automatically generated value before the value is presented to the client device.

Abstract: A server apparatus and the like that improve operation efficiency of a marketplace for trading products are provided. The server apparatus includes a communication interface, and a controller configured to transmit and receive information to and from another apparatus via the communication interface. The controller calculates a time required until sale of a product at a display position based on a temporal change in captured images of the display position where the product is displayed until the product is sold, determines an exhibition fee for the display position based on the time required, informs a terminal apparatus of an exhibitor of the exhibition fee, and urges the exhibitor to exhibit the product for sale at the display position.

Abstract: Systems, methods, and machine readable media are provided for modifying capacity for new facilities. A user selects a retail facility for having a capacity modification and selects a new capacity for the retail facility. The user submits the request for the new capacity for the retail facility. The user confirms the request for a new capacity for the retail facility and forwards the request for a new capacity for the retail facility to a capacity scheduling tool to produce a revised capacity schedule for the retail facility.

Abstract: Techniques are provided for the optimal matching of teachers to students using machine learning models and analysis engines (MLMAEs). In an embodiment, historical and biographical teacher and student data is collected through a data ingestion layer. As the data is ingested, a process is spawned that automatically builds MLMAEs using a plurality of algorithms. The MLMAEs are automatically tested for accuracy, and the MLMAE with the highest level of accuracy is promoted as the winner. Students enter information through a user interface to request optimal teachers for a subject area, and this information is run against the winning MLMAE which returns a list of optimal teachers. Also provided are techniques for teachers to enter their availability, techniques for MLMAE creators to seamlessly test prospective new MLMAEs, and techniques for teachers to understand why they are not matches for specific segments of students and to receive associated professional development resources.

Abstract: A historical-data module may retrieve historical prices and/or sales numbers for products at a presently-relevant, historical reference time and at other times in an interval encompassing the reference time. A comparison module may generate relative price values and/or sales-number values by comparing prices and/or sales numbers at the reference time to those at other times in the interval for various products. A selection module may select a subset of products with a favorable weighted combination of relative price values and/or sales-number values for a product report presented over a communication network, potentially with a graph of historical prices for the products. Information about a viewer of the product report may further tailor the report. Viewer information may include signals of product interest identified in social-networking posts by natural language processing, viewer search and/or purchase data, the viewer's relations in a social graph of a social networking platform, and/or geo-targeting.

Abstract: Systems for determining a price of goods, reducing food waste, optimizing markdowns for the goods, and controlling prices of the goods in a retail setting are described. A scanner scans a readable identification tag affixed to a good during a time period. A pricing engine of at least one server queries, dynamically and in real-time, a database to identify, from the readable identification tag, the good and the information associated with the good. The pricing engine then applies algorithms to the identified good to calculate a price of the good and modify the calculated price of the good during the time period to optimize a target function. The optimization of the target function depends on price-calculation factors associated with a shelf-state of the good and associated with a future stock of the good. At least one calculated price based on the expiration date of the good is displayed.

Abstract: Directed to methods and systems for automated fee generation through the use of machine learning for telecommunications projects. Exemplary implementations may: receive, by a sales support microservice in communication with a trained model running on a server, a plurality of attributes; and feed the plurality of attributes to the trained model. The trained model can retrieve historical data regarding fee prices, identify similar historical projects based on final fee prices and historical attributes of the respective projects, and refine a correlation between historical attributes and fee prices, which can be used in the generation of a fee price to provision a telecommunications project as a result of those attributes.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for performing a joint simulation for satisfying multiple different coexisting commitments to allocate digital resources. In one aspect, a method includes accessing logged data for prior allocations of digital resources, where the logged data includes at least one property associated with respective allocations of the digital resources. Different allocations of the digital resources included in the logged data are assigned to different ones of the multiple different commitments. For each commitment to allocate digital resources, an expected required resource amount that results in the commitment being allocated at least a specified minimum resource based on the allocations of digital resources of the logged data that were assigned to the multiple different commitments is determined.

Abstract: In general, the embodiments described herein provide systems and methods for evaluating and selecting a pricing markdown solution. Specifically, these systems and methods evaluate a relatively small subset of potential markdown solutions using an objective function to determine a financial impact metric for those markdown solutions. From that relatively small subset, the systems and methods then utilize Gaussian Process Modeling to generate an estimation function of the financial impact metrics. This estimation function can then be used with a directed search to select new potential markdown solutions for evaluation, and results of those evaluations used to update the estimation function. This process is continued iteratively until an optimized markdown solution for the financial impact metric is identified.

Abstract: Methods and apparatus for generating intelligent offers with base prices are provided. In one embodiment, a promotion generator receives a current product base price, and also receives or calculates a remaining promotional program budget, a remaining promotional program duration, and a minimum discounted price for the product using the current product base price and any available previous base price data for the promoted product, creating or updating a predictive model of future product base prices.

Abstract: An online system identifies an opportunity to present content to a viewing user and sends candidate content items eligible for presentation to the viewing user for display to a client device associated with the viewing user. The online system computes an estimated value associated with presenting a candidate content item to the viewing user based at least in part on a bid amount associated with the candidate content item and communicates the value to a content-providing user associated with the candidate content item. Based on information received from the client device describing the placement of one or more candidate content items within a feed of content items presented to the viewing user, the online system calculates a detrimental effect of presenting the candidate content item on user engagement with the online system by the viewing user and computes an adjusted value associated with its presentation based on the detrimental effect.

Abstract: An electronic device includes a first-conductivity-type substrate and a second-conductivity-type epitaxial layer having a first dopant concentration. A first substrate region includes a second-conductivity-type buried layer and is enclosed by a first deep isolation structure. Within the first substrate region are a first doped region having the second conductivity type and a dopant concentration greater than the first dopant concentration and a second doped region having the first conductivity type. A second substrate region includes a first-conductivity-type buried layer and is enclosed by a second deep isolation structure. Within the second substrate region is a third doped region having the second conductivity type and a dopant concentration greater than the first dopant concentration.

Abstract: Systems, methods, and computer program products are disclosed that include receiving, at a schema translator in communication with a master device, a video feed from a client device. The video feed may be relayed to the master device to allow a substantially simultaneous display of the video feed at the master device. A snapshot from a frame in the video feed may be acquired. An object in the snapshot may be identified during the video feed by a machine learning model and added to a list.

Abstract: Methods and systems for generating an optimal clearance schedule for inventory items in a retail enterprise. A method includes accessing historical sales data for a plurality of inventory items in a department of a retailer. A selection of an item is received and a set of possible discount schedules for the item are generated. Each schedule includes a set of prices and a price duration. A forecasting tool provides a sales performance of the item based on the historical sales data. An optimal clearance schedule is selected from the possible discount schedules.

Abstract: A method comprises configuring a service as a collection of subservices on network devices of a network, and decomposing a definition of the service into a subservice dependency graph that indicates the subservices and dependencies between the subservices that implement the service. The method further comprises, based on the subservice dependency graph, configuring a subservice among the subservices to record and report a subservice metric as an indicator of subservice performance. The method further comprises determining a rate at which to obtain values of the subservice metric from the subservice, determining a confidence interval for the values of the subservice metric, and obtaining the values of the subservice metric from the subservice at the rate, to produce values for monitoring the subservice. The method also includes determining whether at least one of the values for monitoring the subservice is within the confidence interval.

Abstract: Methods and software for electrochemical energy storage management including operation, planning, and valuation. The decision objective for operation is to maximize the total/remaining life-cycle benefit of electrochemical energy storage, subject to degradation and other operational constraints. The operational decisions are both short term and long term, to address the intertemporal trade-offs brought by degradation issues. Two metrics are proposed for operational and planning decisions respectively: marginal benefit of usage and average benefit of usage. A sample algorithm is provided to solve the multi-timescale optimization problem.

Abstract: Embodiments of the disclosure relate to methods and systems for modeling, controlling and computer-platform implementation of a Synthetic Reserve Provisioning System (SRPS) needed to aggregate and integrate small devices closer to consumers, referred to as Distributed Energy Resources (DERs). This know-how is based on data-driven physics-based modeling and it supports the dispatch and scheduling of DERs so that they can participate in system level provision of electricity service. An SRPS generally comprises multiple levels of consumer aggregators (Synthetic Reserve Provisioning (SRP) modules) which interact by exchanging well-defined information about provable consumer characteristics and their own loading and pricing conditions. Three different SRPS designs are described. They differ with respect to implementation requirements for communications, control, technical and economic risks assumed by different SRP modules.

Abstract: An offer specifying a physical product, a physical location, a time limit, and an upper limit of instances of the physical product is configured. An optimal item exhaustion rate corresponding to the offer is determined. An expected conversion rate corresponding to the offer and an expected customer travel time corresponding to the offer are forecasted for a registered customer. The registered customer is computed as a prospective customer. Using the optimal item exhaustion rate and the expected customer travel time, an offer time corresponding to the prospective customer and the offer is selected to allow the prospective customer to arrive at the physical location at a time consistent with the optimal exhaustion rate, the time being before the time limit and before a number of sold instances of the physical product exceeds the upper limit. The offer is transmitted at the offer time.

Abstract: Embodiments of the present disclosure provide a routing method and device. The method includes: receiving an access request from a user, wherein the access request points to a page, obtaining user attribute information of the user based on the access request, determining, based on at least a part of the user attribute information and according to a preset rule, a server cluster, wherein the server cluster is configured to provide a service on the page for the user, and routing the access request to the server cluster.

Abstract: This power sale timing optimum control system is provided with a communication unit, a demand prediction unit, a supply prediction unit, and a timing determination unit. The communication unit acquires the amount of power stored in each of multiple power storage devices. The demand prediction unit predicts a total amount of demand on power in a utility customer group. On the basis of the acquired amount of stored power, the supply prediction unit predicts the total amount of suppliable power that can be supplied in the utility customer group. The timing determination unit determines a power sale timing on the basis of the predicted total amount of demand and the predicted total amount of suppliable power.

Abstract: A contact management suppression rules system is described. A centralized enterprise database stores suppression rules of an enterprise, where each suppression rule includes logic to prevent communication of marketing content to contacts satisfying parameters of the respective suppression rule. A suppression rules manager causes display of a real-time listing of the suppression rules in a graphical user interface displayed by at least one enterprise device, and receives, from the at least one enterprise device, a modification request to modify a parameter of a suppression rule. The modification request is initiated based on user input to the graphical user interface. The suppression rules stored in the centralized enterprise database are updated with the modified parameter of the suppression rule. Distribution of marketing content for a marketing campaign is controlled by preventing communication of the marketing content to contacts based on the updated suppression rules.

Abstract: A computer-implemented method according to one embodiment includes receiving prices from a remote site, e.g., a headquarter location; and sending the prices to a plurality of locations, e.g., store locations, with an instruction to output the prices on displays of display units. A computer-implemented method according to another embodiment includes receiving prices from a remote site, e.g., a headquarter location; and instructing display units at a location to output the prices on displays thereof. A computer-implemented method according to one embodiment includes receiving product information by scanning products to generate a check out list for automatic checkout using stored customer financial information. A computer implemented method according to one embodiment includes receiving bundled promotional offers from vendors for products based on buying behaviors captured by a mobile application running on a mobile device of a user; and displaying promotional offer on the mobile device.

Abstract: Apparatuses and methods associated with preserving authentication under item change are disclosed herein. In embodiments, acquiring digital image data of an image of at least a portion of a target physical object; extracting features from the image data to form a digital fingerprint; querying the database system to seek a matching record based on the digital fingerprint; based on an amount of difference between the digital fingerprint and a stored digital fingerprint of the database, update the database system to output a new indication of a new match to the physical object for any new samples that are not matchable to the stored digital fingerprint within a first predetermined similarity threshold provided the new samples are matchable to the digital fingerprint within a second predetermined similarity threshold. Other embodiments may be disclosed or claimed.