Abstract: Artificial Intelligence (AI) based methods and systems for predicting opportunities for special pricing agreements (SPA) are disclosed herein. An example method includes receiving a user input indicating a stock keeping unit (SKU) and a customer name, and accessing an SPA database to determine (i) a customer type, (ii) a customer address, and (iii) any historical SPAs corresponding to the customer. The example method further includes predicting, by utilizing a machine learning (ML) model, a set of SPA opportunities that each have a respective cost and a respective confidence interval and that satisfy a confidence interval threshold. The example method further includes determining a first SPA opportunity corresponding to a highest respective confidence interval, and a second SPA opportunity corresponding to a lowest cost of each SPA opportunity in the set of SPA opportunities; and transmitting a notification of the first and second SPA opportunities for display to a user.

Abstract: Systems, devices, and techniques are disclosed for database inventory isolation. Demand levels for access to items may be monitored. The items may have associated inventory counts in a database. An item of the items for which to isolate the inventory count associated with the item may be determined based on the demand levels. The inventory count associated with the determined item may be isolated by moving the inventory count associated with the determined item from a first data block that stores the inventory count associated with the determined item and inventory counts associated with others of the items to a second data block that does not store any other inventory counts.

Abstract: A system includes first and second sensors, and a computing system. The first sensor measures a first property of a first piece of equipment, and the second sensor measures a second property of a second piece of equipment. The computing system includes a processor and memory, which stores a condition that depends on both the first property and the second property. Satisfaction of the condition indicates that maintenance of the first piece of equipment should be prioritized over maintenance of the second piece of equipment. The processor receives the measured first property and the measured second property. In response to determining, based on the measured first and second properties, that the third condition is satisfied, transmits an alert for display on a user device. The alert indicates that maintenance of the first piece of equipment has a higher priority than maintenance of the second piece of equipment.

Abstract: Provided are systems and methods for creating and managing an interactive process graphs which expedite performance of a multi-user enterprise process between user interfaces and the underlying systems. In one example, a method may include generating a process graph of a user interface process, wherein the process graph comprises nodes corresponding to activities and vertices between the nodes identifying dependencies among the activities, embedding input fields in the nodes of the process graph, embedding, via the process graph, an identifier of a current location of a data object within an instance within the user interface process, and displaying an instance of the process graph corresponding to the instance of the user interface process which includes the embedded input fields in the nodes and the identifier of the current location of the data object within the instance of the user interface process.

Abstract: Aspects of the present disclosure relate to personal protective equipment (PPE) management. A set of personal protective equipment (PPE) data describing use time limits of respective PPE articles of a set of PPE articles can be received. Use of a PPE article of the set of PPE articles can be monitored using one or more sensors. A determination can be made whether a PPE usage rule of the PPE article is satisfied based on the monitoring, where the PPE usage rule is based on at least a use time limit of the PPE article. A PPE recommendation action can be issued in response to determining that the PPE usage rule of the PPE article is satisfied.

Abstract: The disclosed computer-implemented method may include dynamically selecting transportation options to present to a transportation requestor device based on current transportation network conditions and transportation requestor device history. In some embodiments, transportation network may have many different ways of arranging a transportation requestor's trip, such as private rides, shared rides, immediate rides, and delayed rides. In some examples, the requestor's choice of transportation option may have an impact on the transportation network. In anticipation of or in response to a transportation request, the method may determine which transportation options will better benefit the transportation network and determine which transportation options to display to the requestor and/or the prominence with which the transportation products are displayed. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: Provided herein is a construct computing system including a construct computing device including a processor in communication with at least one memory device. The processor is programmed to: (i) receive construction data associated with a construction project, wherein the construction data includes scheduling data, budgeting data, and drawing data, (ii) store, in the memory, the construction data, (iii) generate a schedule and a budget for the construction project based upon the construction data, (iv) receive, from a user computing device, input associated with the construction data, wherein the input includes a modification to at least one of the scheduling data, the budgeting data, and the drawings, and (v) modify at least one of the schedule, the budget, and the drawings based upon the input.

Abstract: Approaches are provided that determine and fine-tune product assortments carried by retail stores. In aspects, the number of stores that carry the item, the sales performance of the item, the loyalty of customers to the item, whether substitutes for the item can be found, and other factors are used to determine an actions such as increasing or decreasing the shelf space for an item.

Abstract: Aspects described herein may allow for generating a customized price rating using a machine learning algorithm. This may have the effect of improving the display of information about merchants by including customized, personalized price ratings that better reflect the tastes and preferences of a user or group of users. According to some aspects, these and other benefits may be achieved by using a machine learning model, trained to receive input corresponding to both user data and merchant data and output an indication of customized price rating(s) for the merchant that is specific to one or more users, and then to generate information about the merchant for display that includes the customized price rating(s).

Abstract: A dispatch advisor to assist in selecting operating conditions of a power plant that maximizes operational revenue is described. The dispatch advisor obtains a base load map for operating the power plant to meet base load power demands. The base load map includes a primary base load operating space for attaining target plant power output and efficiency, and an expanded base load portion for attaining higher plant power output and less than optimal efficiency. Both the primary base load operating space and the expanded base load portion associate power output and efficiency values of the power plant that result from a subset of operational parameter values for operating the power plant during base load. The dispatch advisor can transform the flexible base load map into one or more visualizations describing the revenue possibilities associated with operating the power plant based on operating values and attained power output and efficiency.

Abstract: Systems and methods for providing a service experience score at a merchant physical location include a system provider device that determines, through communication at least one of a plurality of beacon devices located at the merchant physical location and a user device, a start of a user service experience. The system provider device also determines, through the at least one of the plurality of beacon devices and the user device, an end of the user service experience. A service experience score that is based at least partly on the start of the user service experience and the end of the user service experience is generated. The service experience score is stored in a database in association with a merchant that is associated with the merchant physical location. Subsets of the service experience score may be associated with different locations of the merchant physical location.

Abstract: Systems and methods for self-configuring table automations. A system may include at least one processor configured to present a plurality of alternative automation packages for application to a table, wherein each package includes a plurality of automations, and wherein each automation is configured to cause an action in response to at least one condition detected in the table; identify a selection of a package from the plurality of packages; automatically configure a first condition in a particular automation in the selected package based on data in the table; display a second undefined condition of the particular automation, wherein the second undefined condition requires further configuration; receive an input for configuring the second undefined condition; configure the second undefined condition using the input to cause the second undefined condition to become a second defined condition; and apply the particular automation to the table.

Abstract: A market planning system and associated methods are disclosed for dynamically generating an at least one local trade area and/or market planning area for an at least one business location. In at least one embodiment, a central computing system identifies a plurality of block groups proximal to the at least one business location. For each of the identified block groups, the computing system identifies at least one trade anchor located within said block group. The computing system defines a plurality of local trade areas based on the identified block groups and associated trade anchors, and subsequently defines an at least one market planning area based on the local trade areas.

Abstract: A method for a well intervention program is provided. The method includes selecting, from a number of well intervention mandates generated by a number of originators in an oil and gas industry hierarchy, mid-level mandates based on respectively originator rankings, wherein each of the number of well intervention mandates relates to a well intervention activity of the well intervention program, generating, based on respective pre-defined cycle times of the mid-level mandates, a most frequent timeframe, performing, based on a pre-determined audit criterion and over the most frequent timeframe, an audit of the well intervention program to generate an audit result, and presenting the audit result to the number of originators.

Abstract: Various examples are directed to systems and methods for executing an enterprise resource planning solution using a database management system (DBMS). An order-to-cash process executing at the at least one processor accesses an indication of waste material for disposal and generates a waste disposal order, where the waste disposal order comprises a material description field including a description of the waste material, regulatory reporting data describing at least one report of the waste material to be provided to a regulatory agency, and a price field indicating a negative price.

Abstract: An electronic construction collaboration system for managing a construction project is provided. The electronic construction collaboration system includes an Enterprise Resource Planning (ERP) sub-system including a contract engine configured to generate at least one project contract including a contract data set and ERP metadata corresponding to Building Information Modeling (BIM) metadata included in a structural object of a construction project model in a BIM sub-system and an interconnection engine configured to associatively link the ERP metadata and the BIM metadata and send the contract data set to the BIM sub-system in response to associatively linking the ERP metadata and the BIM metadata.

Abstract: A disaster recovery is provided. A plurality of assets is connected in a plurality of tree networks, and the plurality of tree networks are interlinked to form a master mesh network. When an asset in the master mesh network is impacted, multiple alternate paths are determined to operationalize at least some of the impacted assets.

Abstract: A construction material quantity certification system includes first and second electronic databases that store construction project data and contractor data, as well as data about a plurality of deliveries of construction materials, including source records that identify sources of the delivered construction materials and chain of custody data. A server is coupled to plurality of devices, such as vehicle weight scales, configured to provide data about respective quantities of construction materials loaded onto respective vehicles. The server automatically obtains data about the respective quantities of construction materials from the plurality of devices, stores the data in the second database, associates each delivery to an associated contractor and to an associated project, updates the chain of custody data and, in response to receipt of a user input, uses data in the databases to automatically store a construction material quantity certification traceable to the source records of construction materials.

Abstract: The present disclosure discloses a method for predicting oxygen load in iron and steel enterprises based on production plan, which relates to influencing factor extraction, neural network modeling and similar sequence matching technologies. The method uses the actual industrial operation data to first extract the relevant data such as the production plan and production performance of converter steel-making, analyze the influencing factors, and extract the main influencing variables of oxygen consumption. Then, the neural network prediction model of oxygen consumption of a single converter is established, the mean square error is taken as the evaluation index, and the predicting result of time granularity of a converter in the blowing stage is given. Finally, in combination with the information of smelting time and smelting duration of each device in the converter production plan, the prediction value of oxygen load in a planned time period is given.

Abstract: A database reconciliation system stores construction project data, including project specification data for each of a plurality of projects and contractor data for each of a plurality of contractors. A server automatically receives observational data from a set of construction devices and stores the observational data in an electronic database. Each observational datum represents an aspect of a respective construction site, such as activity by construction equipment. The server associates the observational data with contractors, and a data reconciliation module automatically associates the observational data with projects. A comparator automatically identifies a respective project specification requirement in the project specification data of the associated project for which the observational datum provides evidence that the project specification requirement has been met.