Abstract: A computer system and computer-implemented method for retail merchandise planning, including promotional product selection, price optimization and planning. According to an embodiment, the computer system for generating an electronic retail plan for a retailer comprises, a data staging module configured to input retail sensory data from one or more computer systems associated with the retailer; a data processing module configured to pre-process the inputted retail sensory data; a data warehouse module configured to store the inputted retail sensory data and the pre-processed retail sensory data; a state model module configured to generate a retailer state model for modeling operation of the retailer based on the retail sensory data; a calibration module configured to calibrate the state model module according to one or more control parameters; and an output module for generating an electronic retail plan for the retailer based on the retailer state model.

Abstract: An example operation may include one or more of receiving blockchain transactions, sorting an order of the blockchain transactions, simulating committance processing of the plurality of blockchain transactions to identify mining costs associated with each of the plurality of blockchain transactions, and applying one or more heuristic procedures to select one or more of the plurality of blockchain transactions which maximize a result associated with a next blockchain block.

Abstract: An embodiment of the present invention is directed to monitoring the health of critical business flows in real time, helping faster detection and diagnosis of incidents improving stability. An embodiment of the present invention is directed to generating and providing interactive dashboards with historical trend analysis of identified parameters. An embodiment of the present invention is directed to monitoring the health of critical business flows in real time and enabling faster detection and diagnosis of incidents thereby improving stability and consistency.

Abstract: Described herein is a system for generating financing structures. A learning engine may extract data sets associated with sellers of various products. The learning engine may be trained using the data sets. The learning engine may identify a subset of dimensions that cause a change in a determination of a final price for a given product. The learning engine may compute a value for each of the sellers with respect to each dimension. The learning engine may group the sellers into different clusters. The learning engine may generate using a model, including the subset of dimensions. The learning engine may receive a request to generate a financing structure for a specified product sold by a specified seller. The learning engine may generate financing structures for the specified product sold by the specified seller based on the generated model.

Abstract: A data driven workflow solution that normalizes business communications by systematically recording related business communications from disparate communications channels in a common format such that the related business communications are automatically integrated into the associated business processes and which flow solution is flexible for capturing additional data elements or to adapt to changing tasks associated with the business processes is disclosed.

Abstract: Systems and methods for determining whether a particular feature or change implemented in at least one test store causes a significant change as compared to one or more control stores are discussed. More particularly, techniques for using a time-series clustering algorithm to identify comparable sister stores to a store in which a feature change is being considered are described. Once the sister stores are identified a testing module can perform an A/B testing so as to validate whether a particular feature change being implemented in the test store causes a significant change as compared to the control stores.

Abstract: Example implementations involve a mechanism of distribution of products and services, which may have early signals of demand when such products are consumed by project based activities. By offering flexible demand and supply matching, an analytics engine platform predicts such demand, and constructs micro-contracts to match suppliers with project operators, anticipating their demand needs. The mechanisms can be applied to distribution of any kind of products or services in a supply chain which demand arises by planned projects.

Abstract: A computer system and computer-implemented method for autonomous enterprise planning for instance in a retail enterprise comprising retail planning processes such as assortment planning, regular price planning, promotional product planning, promotional pricing, inventory allocation, size/pack optimization, markdown pricing, or in an insurance enterprise comprising insurance underwriting, adjudication, fraud detection and subrogation.

Abstract: A method for increasing a transaction amount corresponding a patron of an establishment, the method including: receiving inputs comprising transaction data corresponding to a transaction, where a portion of the transaction data comprises personally identifiable information (PII), and extracting the PII from the portion of the transaction data, and employing the PII to generate PII transaction data and metadata corresponding to the transaction; analyzing the PII transaction data and the metadata to generate a single universal guest record (UGR) corresponding to the PII transaction data and the metadata, where the single UGR corresponds to the patron, the single UGR comprising UGR transaction metadata corresponding to the transaction and historical transactions associated with the patron; statistically analyzing the UGR metadata to generate a guest segmentation record that corresponds to the patron; and generating content for display on point-of-sale (POS) terminals associated with the establishment, where the

Abstract: Some embodiments of a system for communicating vehicle information can provide equipment for use inside a fleet vehicle to facilitate prompt and efficient transfer of vehicle and driver information. In particular embodiments, the system may include an electronic onboard recorder mountable in a vehicle and a mobile communication device that is configured to wireless communication with the electronic onboard recorder.

Abstract: Techniques and system configurations for tracking customers and employees in a commercial environment such as a retail store are described herein. Customer devices that are operated by an associated customer may be tracked to determine customer shopping activities in a retail store, and to obtain promotions or affect targeted results based on the customer's activity and a profile associated with the customer. Employee devices that are operated by an associated employee also may be tracked to identify employee activities and manage the interactions that occur with customers in the retail environment. In-store activities and interactions accordingly may be enhanced as a result of advertising, marketing, and analytics derived from the tracked activities.

Abstract: The present disclosure provides computer-implemented method and a system for classification and sorting of one or more addresses to increase productivity of classification and sorting process of the one or more addresses. The system logically partitions a geographical region into one or more zones in real-time. The system fetches an address data from an entity of the one or more entities containing destination address. Further, the system extracts one or more points of interests from the fetched address data based on hardware-run machine learning algorithms. Furthermore, the system generates a signal to determine a zone of the one or more zones associated with the entity of the one or more entities. The system logically updates the one or more zones based on the extracted one or more points of interests in real-time.

Abstract: The systems and methods involve a feedback application, a feedback processing application, an analytics application, and an event moderating application. The feedback application allows users to submit feedback and displays received feedback anonymously to feedback recipients. The feedback processing application anonymizes the submitted feedback and the data to be retrieved from the feedback processing application and provide the anonymized feedback and data to the feedback application. The feedback processing application includes technology to protect feedback giver's identity and increase the speed of anonymizing the feedback and data and providing the anonymized feedback and data to the feedback application. The analytics application examines user's feedback giving and receiving behavior and evaluate their feedback empathy and authenticity and their learning behavior.

Abstract: Systems and methods for change management are provided. An electronic product and/or service provisioning system is tracked as a function of experiences. Changes are implemented at a process level, where two or more processes make up an experience.

Abstract: An incident management interface enables an operator to track progress in resolving an incident and includes a first, second, and third selectable feature. The first selectable feature presents a summary of at least effects of the incident and resolution activity, the second selectable feature enables the operator to create, edit, and administer one or more communication tasks associated with one or more client devices, and the third selectable feature enables the operator to manage one or more conference calls with a variety of agents. The first selectable feature, the second selectable feature, and the third selectable feature are each selectable from a screen of the unified incident management interface.

Abstract: Embodiments of the present invention provide a method comprising maintaining historical meeting information, receiving an event data stream corresponding to a meeting, and delaying confirmation of an assignment of a meeting room for the meeting for a period of delay defined by a confirmation condition to predict a number of in-person attendees at the meeting based on the event data stream and the historical meeting information. The meeting room is tentatively assigned to the meeting based on the predicted number of in-person attendees. The method further comprises sending confirmation of the assignment of the meeting room for the meeting to at least one invitee only after the period of delay has elapsed.

Abstract: A method for evaluating effective product visibility in a physical shopping environment including multiple products is provided. The method includes, in a data capture phase, counting a total number of shoppers for a period of time. For a first sample of shoppers, trip length is monitored to determine an average trip length. A second sample of shoppers is audited, and a viewing vector of audited shoppers is determined at each display visited. Displays visited are assigned at least one product category. In a following product category visibility analysis phase, from a total number of shoppers and the average trip length, the total shopping time for the physical shopping environment is calculated. The total shopping time is allocated to each viewing vector of audited shoppers to determine allocated time. From allocated time and the viewing vectors, an exposure value of the product category is determined. Non-display exposure values are also determinable.

Abstract: Different embodiments to generate predictive models to predict factors regarding a product are disclosed. In one embodiment, a computing apparatus and/or method can generate the predictive models using Ensemble Model algorithms, such as the Random Forest Modeling algorithms, with the apparatus and/or method providing a number of user interfaces to allow a user to enter the user's domain knowledge regarding at least the product to help generate the predictive models.

Abstract: The invention relates to a computer implemented method and system for generating a data collection process for a user device. The method comprises: receiving, at a third-party server, an instruction to begin a data collection process for a user operating a user device; receiving, at the third-party server, static data from the user device; determining, at the third-party server, a set of data to be collected from the user; generating, at the third-party server, code for a first data collection module based on the set of data to be collected from the user; providing, from the third-party server, the code for generating the first data collection module to the user device; receiving, at the third-party server, confirmation that a user of the user device has provided the information required by the first data collection module to the service-provider server; and determining if the user has provided the set of data to be collected.

Abstract: A work support system that is suitable for reducing communication loads and processing loads, and improving certainty and versatility, is provided. An AI manual server 100 generates a rule describing a determination condition of a work situation based on a manual, and transmits the rule to a smart device 300. A work situation determination apparatus 220 comprises a storage section that stores work situation information indicating a work situation in association with equipment signal information. The work situation determination apparatus 220 inputs an equipment signal from a PLC of object equipment 210, reads out the work situation information corresponding to the input equipment signal from the storage section, and transmits the readout work situation information to the smart device 300. The smart device 300 receives the rule, and stores this in the storage section 58.