Abstract: A graphical workflow definition and management tool enables administrators and other authorized users to implement a workflow process that can be used to evaluate project submissions or other applications that require step-by-step process completion. The steps required to navigate through the workflow are first defined. Inputs, outputs, and actions, including conditional criteria, can be specified for the steps. The flow of control between the individual steps in the workflow is mapped out; changes to the status of a project submission can cause a submission to migrate to a succeeding step in the workflow. A “sandbox” testing environment allows changes to any aspect of the workflow to be safely evaluated without affecting live data. Conflicts between production and test workflows are identified and intelligently resolved.

Abstract: Systems and methods are disclosed for monitoring battery usage information. In an embodiment, battery usage data is received from a battery energy storage system comprising a battery pack. The battery usage data may include battery identification information, one or more battery sensor measurements for a period of time, and a cumulative warranty value for the battery pack. A project to which the battery pack belongs may then be determined based on the received battery identification information. Finally, the battery usage data may be stored in a warranty database. The warranty database may store battery usage data for a plurality of battery packs. The warranty database may further be partitioned by project, and the battery usage data for is stored in a partition of the warranty database for the determined project.

Abstract: In accordance with some embodiments of the disclosed subject matter, mechanisms (which can, for example, include systems, methods, and media) for harmonizing procurement across distribution networks with heterogeneous product availability are provided. In some embodiments, a method for automatically generating an order guide for a facility associated with an organization is provided, the method comprising: presenting items available in first, second portions of a distribution network; presenting items available via the network; creating a general order guide, and adding a first item thereto; determining that the first item is unavailable and a second item is available in the first portion; identifying substitutes, including the second item, for the first item; generate a facility order guide with items in the first portion based on the general order guide; automatically selecting the second item for the facility order guide; and associating the facility order guide and facility.

Abstract: Provided is an omni-channel marketing curation system based on big data including a data collecting unit configured to collect behavior log data of a customer in an online store and behavior log data of the customer who visits an offline store; a big data storing unit configured to process, in real time, the log data collected in the data collecting unit; a log verbalization converting unit configured to analyze the customer's online/offline behavior log data, convert the analyzed result into one of a plurality of pre-defined verbal expressions, which indicate degrees of customer's reactions to a product, to store the converted result in the big data storing unit; a first attribute setting unit configured to receive customer's attribute information from a system user so as to create a profile for a persona according to the attribute; a persona generating unit configured to group, into one persona, customers corresponding to the attribute information received by the first attribute setting unit, generate one o

Abstract: According to embodiments illustrated herein, a method and a system is provided for screening candidates for job opportunities. The method includes grouping the candidates into batches based on predetermined time duration, a count of the candidates, and a chronology of receiving job applications from the candidates. Each batch comprises a first set of candidates. Thereafter, a sliding window is moved over the batches, to encompass a set of batches at a first time instance. A second set of candidates is identified from the first set of candidates in a batch from the set of batches based on a score assigned to each of the first set of candidates during an interview. Further, a candidate is selected from the second set of candidates obtained from a first batch, encompassed by the sliding window at a second time instance before the first time instance.

Abstract: A method to manage a service provided to a customer includes: enabling, by a processor of a computer system, a user to manually select for a customer, one of a plurality of categories of contracted services stored in the system, determining, by the processor, whether the selected category is affected by an environmental event, and predicting, by the processor, dynamic resources required to provide the service based on the environmental event and the selected category when it is determined that the selected category is affected by the environmental event.

Abstract: A method for workplace management is provided. The method includes determining a plurality of goals associated with a plurality of tasks to be performed at a workplace, from a database. The method also includes dynamically obtaining task-related information based on a plurality of monitoring parameters associated with the tasks. The method further includes comparing the task-related information with the plurality of goals for monitoring a status of each of the plurality of tasks. The method includes dynamically rendering the status of each of the plurality of tasks on a user interface. The method also includes managing the plurality of tasks to be performed by a plurality of workers based on the status.

Abstract: A system and method for grouping units for forecasting purposes is presented. A sales forecast for a set of stock keeping units (SKUs) is desired. The SKUs are separated into clusters based on the similarity of the SKUs. Then a set of Bayesian multivariate dynamic linear models is chosen to be used to calculate a sales forecast for each of the clusters of SKUs. The accuracy of each dynamic linear model is determined in a training procedure and a set of weights for each dynamic linear model is calculated. Thereafter, the weights can be used with the dynamic linear models to create a weighted average forecast model. The training procedure can be run periodically to maintain the accuracy of the weights. Each procedure can operate on a sliding window of data. Other embodiments are also disclosed herein.

Abstract: A system and method for selecting an deployment of goods for shipping purposes is presented. An affinity network representing the deployment of goods is created. A first and second set of goods in the affinity network are created, the first set of goods representing an initial set of goods to be placed in a first location and the second set of goods representing a set of goods that are constrained to be placed in a second location. An objective function is iteratively operated to determine an optimum deployment of goods between the first location and second location. Other embodiments are disclosed.

Abstract: Systems, apparatus, and methods for determining unique contacts from a collection or pool of merchant data are discussed herein. Some embodiments may provide for an apparatus including circuitry configured to determine programmatic match results indicating whether different instances of merchant data match (e.g., describe the same contact). The circuitry may further determine probabilities of precision or recall errors with the programmatic match results. Programmatic match results having a high probability of error may be annotated by a user to generate user match results. The user match results may be used to generate a more reliable contacts database including unique contacts, as well as to train and/or update the match scoring algorithm. As such, the accuracy of machine-implemented binary classification is improved.

Abstract: A multi-depot delivery schedule optimizer includes an iteration controller to initialize scheduling iterations for determining an optimized route schedule for a plurality of demands and a plurality of vehicles, in which at least one of the route schedules includes a first depot as a start location, at least one delivery location, and a second depot as an end location. The multi-depot delivery schedule optimizer further includes a particle handler to define a plurality of particles within a solution space of allowable route schedules, each particle representing an allowable route schedule and represented by a corresponding position within the solution space.

Abstract: Approaches presented herein enable evaluating and displaying feedback for an item distributed to a group of users, e.g., at a collaborative event. Specifically, at least one approach includes receiving the item (e.g., a topic, idea, product) from a first user, and distributing the item to the group of users, wherein the group of users is located within an identified geographic proximity to the first user. An assigned value (e.g., demand quantified though buy/sell data) is then received for the item from one or more users of the group of users, and displayed to the first user via a mobile device, along with a real-time location of each user of the group of users. In one approach, each user's mobile device displays a geographic distance from other users at the collaborative event.