Abstract: Systems and methods for classifying job skills based on a job skill taxonomy built using artificial intelligence are described. The method may include identifying a set of job skill terms from a corpus of job description documents, generating a synonym file by associating each of the job skill terms with a canonical job skill, extracting a set of job skills from the corpus of job description documents using the synonym file, generating job skill relationship information based on the extracted set of job skills, and creating a job skill taxonomy based on the job skill relationship information, wherein the job skill taxonomy comprises a hierarchy of job skills.

Abstract: Aspects of the invention relate to a computer-implemented method of improving the efficiency of an electronic collateralisation search engine that uses assets distributed on one or more remotely-located asset depositories. The method comprises selecting from a database of asset records of the remotely-located assets of a collateral giver, a subset of asset records having asset characteristics that satisfy a collateral giver's one or more predefined threshold criteria. Restricting a received search of collateral giver's asset records, which match a collateral receiver's query, to the subset of collateral giver's asset records.

Abstract: A computer-implemented method, according to one embodiment, includes: receiving an offer request including one or more desired services, and selecting available offerings, each of which include at least one of the desired services. A determination is made whether available benchmarks exist for each of the at least one desired service included in each of the selected available offerings. For each desired service determined as not having available benchmarks, a draft benchmark is computed for each of a plurality of criteria. A confidence weight is also computed for each of the draft benchmarks. The available benchmarks, the draft benchmarks, and the confidence weights are further used to construct an offer which is submitted in response to the received offer request. Moreover, the draft benchmarks and the corresponding confidence weights are re-computed for each of the respective desired services in response to determining that the submitted offer was not accepted.

Abstract: In an approach for an automatic document separation, a processor extracts one or more features from a document containing a plurality of pages. A processor generates a data frame based on the feature extraction. In response to analyzing a similarity between the plurality of pages, a processor determines whether the similarity exceeds a predetermined threshold. In response to determining that the similarity does not exceed the predetermined threshold, a processor transforms text into vectors forming float arrays. In response to benchmarking a set of predetermined clustering algorithms, a processor identifies a clustering algorithm using a predetermined criterion. A processor clusters the plurality of pages, using the clustering algorithm, to create a group of pages. A processor validates the clustered group of pages. In response to passing validation, a processor generates a set of final separated files based on the clustered group of pages.

Abstract: Techniques are described herein for evaluating customer support sessions to identify active listening. The techniques include receiving a recording of a customer service support session from a customer support terminal, which is associated with a representative identifier of a customer service representative. The customer service support session includes one or more segments, and a plurality of active listening factor scores is calculated and averaged to determine an active listening factor score for each of the one or more segments. The plurality of active listening factor scores corresponds to different active listening attributes demonstrated by the customer service representative. The active listening factor score for each of the one or more segments are averaged to determine a session score, which is associated with the representative identifier. The session score can be used to present one or more support suggestions for the customer service representative in a support tool.

Abstract: The present technology generally relates to a system and to a method automated resource management. The method comprises obtaining a sorted list of employees based on vacancies to be filled; wherein each vacancy of the vacancies to be filled comprises a timeslot and a responsibility. The method comprises contacting employees in the sorted list and proposing available timeslots and responsibilities; receiving timeslot and responsibility preferences of the contacted employees; and resorting list of employees based on received timeslots and responsibilities preferences.

Abstract: A system and method of driver selection is disclosed. At least one order including a delivery window is received and a first delivery assignment process is implemented during a first time period. The first time period occurs a predetermined time before the delivery window. An indication regarding the first delivery assignment process is received and a second delivery assignment process is implemented during a second time period when the indication regarding the first delivery assignment process indicates the first delivery assignment process failed to place the at least one order with a driver. The second time period is subsequent to the first time period. An indication regarding the second delivery assignment process is received.

Abstract: A method, computer system, and computer program product for displaying contextually relevant insights into human resources information. Human resources information from a human resources profile of an employee of an organization is displayed within a context of an operation to be performed for the organization. The human resources information is identified within related information. Whether the related information is relevant to the context of the operation to be performed is determined. In response to determining that the related information is relevant to the context of the operation to be performed, an insight into the human resources information is generated based on a data point for the human resources information within the related information. The insight is displayed with the human resources information within the context of the operation to be performed. Performing the operation is enabled using the insight displayed with the human resources information.

Abstract: Techniques relate to facilitating assignments of tasks to promote efficient resource timetables. A first communication from a client device is received that corresponds to an electronic request to sue a resource to complete a task. A task type of the task and a client corresponding to the electronic request are identified. Usage data corresponding to the task type and client are identified. A task-assignment duration is defined based on the usage data and a buffer time period. An availability in a timetable of a resource that is of a duration that is at least as long as the task-assignment duration is identified. A second communication identifying a start time of the availability is transmitted to the client device. A third communication is received that accepts the start time, and a fourth communication is transmitted to a device controlling use of the resource that identifies the client, task and availability.

Abstract: A system for providing dynamic roadside assistance coordination may include a customer mobile device or vehicle in direct, or indirect, wireless communication with an insurance provider and/or service provider remote server. The customer's device may transmit a request for roadside assistance (e.g., towing services), and a current GPS location. In response, a closest, trusted service provider vehicle may be determined, and then directed to the customer's location. For instance, a software application may receive the customer location and compare it with availability information to match the customer with a close and trusted service provider. The customer's device may receive an acknowledgement that help is on the way, and be able to track the current location of the service provider vehicle while en route. Payment for the roadside assistance may be automatically and electronically paid by the insurance provider. As a result, prompt and safe roadside assistance may be provided.

Abstract: A computing system can manage a network-based service for a given region by receiving service requests from user devices of users and matching the requesting users with available providers. The computing system can receive service requests, including a first service request from a first user device, and identify a set of candidate providers that includes a first provider and a second provider. The computing system can transmit invitations to the first provider's device, including a first invitation for first provider to fulfill the first service request, and transmit invitations to the second provider's device, including a second invitation for second provider to fulfill the first service request. In response to receiving respective acceptances for the first service request from the first and second provider devices, the computing system can determine whether to select the first provider or the second provider to fulfill the first service request.

Abstract: Aspects of the invention include a computer-implemented method for quantifying tester sentiment. The computer-implemented method includes receiving a first feedback data from a first tester, where the first feedback data represents feedback generated by the first tester in connection with a first instance of a first software-under-development. The first feedback data is correlated to an aspect of the first instance of the first software-under-development to derive a tester sentiment data. The tester sentiment data is used to determine a tester sentiment rating of the first instance of the software-under-development. Based on the tester sentiment rating, a resource is applied to the first instance of the first software-under-development.

Abstract: A method includes receiving an access feature request for utilization of a feature in a computing system, determining a system requestor associated with the access feature request, determining an achievement associated with the feature, accessing a plurality of first document types associated with the system requestor, determining that a document of the plurality of first document types reflects successful completion of the achievement, and providing a system access to the feature based on a determination that the document reflects successful completion of the achievement.

Abstract: Methods and systems are provided for adaptive recruitment computer system. In one novel aspect, the adaptive recruitment computer system generates a question bank based on a job description, selects adaptively questions from the question bank for an interview, and generates a feedback report for the candidate based on the evaluation of the candidate's answer. In one embodiment, the computer system categorizes a job requirement based on a body of knowledge (BOK) skill knowledge base, generates a question bank, selects adaptively a subset of questions from the generated question bank, wherein each question selected is based on evaluations of candidate's answers to corresponding prior questions using a recurrent neural network (RNN) model, and generates a feedback report for the candidate, wherein the feedback report using the RNN model based on evaluations of answers and a BOK candidate knowledge base, wherein the BOK candidate knowledge base receives updates from the computer system.

Abstract: The instant disclosure discloses methods and systems for merging outputs of matching artificial intelligence (AI) engines that are configured to match jobs to candidates, candidates to candidates and jobs to jobs. The methods and systems illustrate how multiple artificial intelligence engines or algorithms executing machine learning-based models can be used to identify candidates or jobs that match other candidates or jobs.

Abstract: Various embodiments are directed to systems and methods for providing employee data corresponding to individual employees to a customer computing entity operated by a customer. The employee data is provided so as to provide additional detail regarding an employee involved in a customer service interaction with the customer. The employee data is broadcast from an employee beacon carried by a respective employee. The employee data is received by a customer computing entity within the broadcast range of the employee beacon and, upon detection of a trigger event, the employee data is presented to the user via a graphical user interface of the customer computing entity, which requests that the customer provide feedback data regarding the employee, which may be transmitted to a management computing entity for storage and analysis.

Abstract: An apparatus and method provide customer service for users of online applications. A first set of instructions are executable on the processor that are configured to test a device connected to a network to produce one or more test results. A second set of instructions are executable on the processor that are configured to store the one or more test results in a database. A third set of instructions are executable on the processor that are configured to retrieve the test results for display on a customer service screen during customer service.

Abstract: Embodiments include a computer implemented method for automatically identifying an issue from a help message received via a chat interface and generating a response for responding to the help message. The method can include receiving one or more response templates that each include a reference to a resource associated with a help topic. The method can also include receiving, from a second user, a help request via the chat interface of a help channel. In response to receiving the help request the method can include parsing the help request to identify a help topic, generating a help desk ticket associated with the help request and generating a response message that includes an information resource associated with the help topic, and sending the response message to the user. In response to the user viewing the information resource and selecting a user interface element, the method can include automatically closing the help desk ticket.

Abstract: A disparate data source aggregation system and methods are provided which may pull or retrieve talent data or features from disparate data sources, automatically correlate the data across the different data sources, build a self-adjusting system database that captures the talent data from the disparate data sources, and lets users search, query and build model insights on the aggregated data of the system database without human intervention. A method for disparate data source aggregation may include: extracting a first feature set having a first extracted feature and a second feature set having a second extracted feature; determining, if the first extracted feature of the first feature set matches the second extracted feature of the second feature set; and aggregating the first feature set with the second feature set if the first extracted feature of the first feature set matches the second extracted feature of the second feature set.

Abstract: A multi-dimensional human resource allocation adviser integrates with one or more employee skill set data sources and processes and aggregates both initial/static and dynamic skill set data from those sources. Machine learning algorithms are then used to normalize and rank the aggregated employee skills with respect to the skill set and requirements associated with a given task, project, or case. The set of employees determined to have employee skill sets that most closely match the skill set and other requirements associated with the given project, task, or case are then filtered based on rules and constraints determined by the requirements of the business and/or the client. The best employee match, or matches, remaining after the rules and constraints filtering are then recommended for assignment/allocation to the given task, project, or case.

Abstract: A web based booking platform for the booking of personnel, services and assets on a single database through a single supply chain comprising: a web server hosting a portal website, the portal providing access to other service and asset provider websites or email addresses of personnel members; wherein the creation of live manifests for each step including tracking planned movements of personnel either on an individual, multiple, group or collective basis facilitates the coordination of a total personnel supply chain that is continuous and connected at each point and which ensures that each time a change is made to a roster or manifest, the service or asset provider's database is updated accordingly and in turn, all user and/or client databases.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for dynamically modeling a page using dynamic data. One of the methods includes receiving a first dynamic input request with corresponding contextual inputs comprising data characterizing a single dynamic first event of a main task; generating, in response to the first dynamic input request, a dynamic smart interface responding to the contextual inputs; generating, in response to the first dynamic input request, a model comprising a single shared dynamic control load and dynamic data load responding to the contextual inputs; receiving a second dynamic input request comprising data characterizing a single dynamic final event of the main task; triggering, in response to the second dynamic input request, a dynamic process comprising a rule monitor, a smart task generator, and a smart contract; and presenting, to a user in response to the second dynamic input request, dynamic rule options.

Abstract: The present disclosure provides a computerized method for assigning items to pickers including: determining a priority of an ordered item; inserting the item into an ordered data structure based on the priority of the item; iteratively, for items in the ordered data structure: determining an item physical location corresponding to a first unassigned item in the ordered data structure; determining a plurality of picker physical locations corresponding to locations of user devices of pickers; calculating a plurality of distances between the item physical location and picker physical locations among the plurality of picker physical locations; assigning the first unassigned item by: identifying a closest picker corresponding to a shortest distance of the plurality of distances; selecting the identified picker; correlating the first unassigned item with the selected picker in a data structure; and sending information of the item and physical location to the user device of the picker.

Abstract: A data analysis apparatus generates M (M is an integer of 3 or greater) groups each including data regarding a plurality of units from data where first KPIs and K (K is an integer of 2 or greater) explanatory variables are given by 1:1, generates a second KPI indicating the state of the group based on the values of a plurality of first KPIs included in the group, and selects a feature for the first KPIs based on a correlation analysis between the second KPI of each group and the feature of each group calculated based on the explanatory variables.

Abstract: A job recommendation system automatically generates job recommendations for users based at least in part on automatically generated and/or automatically maintained employee data stored within employee profiles and employer structure data. The employer structure data is utilized to generate one or more predictive models for generating scores predictive of job transitions between jobcodes and/or departments. Moreover, the employee data is compared against job opening data to identify similarity scores therebetween. The one or more predictive models and the one or more similarities scores are combined into a job recommendation algorithm utilized to generate one or more job recommendations for the user.

Abstract: A method and system for performance-driven load shifting. Specifically, the method and system disclosed herein entail transferring user program workloads, for processing, between local computing resources available on a client device and cloud computing resources available on an offload domain based on the assessed performance score of the client device at any given point in time. Seamless load shifting is further guaranteed due substantively to the employment of a mobile network facilitating communications between the client device and the offload domain.

Abstract: A first feature is displayed within a first view of a user interface. A first selection of the first feature is configured to display a first set of identifiers corresponding to one or more tasks. A second feature is displayed within the first view of the user interface. A second selection of the second feature is configured to display a second set of identifiers corresponding to a set of workers. Each worker of the set of workers is associated with the one or more tasks and a first time that the one or more tasks are scheduled to be completed by. A set of status indicators are displayed. Each status indicator of the set of status indicators indicates whether the one or more tasks have been completed by the first time for the each worker of the set of workers based at least in part on the associating.

Abstract: A server receives a request, for allocation of workforce, upon displaying a first network browser on a first client device and processes the request against a database of worker profiles and project profiles. Each of the worker profiles contains at least a worker identifier, an identified worker skill set, and a work schedule. Each of the project profiles contains a project identifier, a desired project skill set, and a desired timeframe for the desired project skill set. The server displays a second network browser on a second client device based on such processing, which contains available worker capacity and desired skills within a requested timeframe. A user operating the second client device can accept or ignore the recommendation and assign a worker to a project. The server may further update the project data and allocate the worker to the project.

Abstract: A method for providing training data for a machine learning model includes: monitoring a specific user as the specific user reads electronic documents on a display to determine indications of pauses in reading for greater than a specified period of time; correlating objects on each of the displayed plurality of electronic documents to the pauses in reading; identifying features for the machine learning model based on the objects and textual analysis of each of the plurality of electronic documents; presenting information related to each identified feature to the specific user; obtaining from the specific user a descriptor defining each of the identified features and a value for each of the identified features indicating a relative importance or applicability of each of the identified features; and associating obtained descriptors and values with each of the identified features.

Abstract: Aspects of the subject disclosure may include, for example, selecting a subset of employees from among a group of employees according to performance data of the group of employees where the group of employees is associated with an employment position and where a group of known desired attributes is associated with the employment position, analyzing employee information for the subset of employees to identify a correlation, identifying an unknown desired attribute according to the correlation, obtaining candidate information for a group of candidates, selecting a subset of candidates from among the group of candidates according to a comparison of the group of known desired attributes, the unknown desired attribute and the candidate information. Other embodiments are disclosed.

Abstract: A machine includes a memory and a processor. The processor performs steps that include receiving a path to a storage area associated with a programming environment, wherein the machine has been assigned to the programming environment. The processor uses the path to retrieve a list of the applications that define the programming environment, the list comprising an identifier for each application and a path to an executable form of each application. The processor compares the list of applications to applications currently stored in the memory of the machine and removes an application from the memory that is not in the list of applications.

Abstract: A method and system for automating some aspects of a recruiting process, which may implement rules permitting the processes of sourcing candidates, setting up job interviews, and responding to candidate questions to all be automated with a computer. Such a system may match résumés and job descriptions with a scoring system, and may initiate communications between one or more candidates and a recruiter once an appropriate number of matches have been found. The system may then be configured to field responses to commonly asked questions from a question database, and notify the recruiter if a question is asked that it cannot answer, and may further be configured to proactively ask questions to the candidate if desired. This may allow recruiters to focus on the highest level of vetting, and on aspects of the recruitment process such as promoting the hiring company and salary negotiations.

Abstract: A processing system may obtain historical job feature, network plant feature, and calendar feature data associated with customer premises installation jobs of a telecommunication network which include a dispatch of a customer premises technician. A plurality of the customer premises installation jobs may further include a dispatch of a network-based technician.

Abstract: Aspects of the present invention provide devices that generate a job description by generating at least one job description according to a plurality of job areas and a linguistic model trained on a plurality of cataloged job descriptions, each job area including one or more assigned job skills, and displaying the generated at least one job description on a display device.

Abstract: Systems and methods for a configurable response-action engine are provided. Actions are generated for a conversation when an insight is received from a natural language processing system. Industry, segment, client specific instructions, third party data, a state for the lead and lead historical patterns are also received. A decision making action model is tuned using this information. An objective for the conversation may be extracted from the state information for the lead. The tuned model is then applied to the insight and objective to output an action. A response message may be generated for the action. The action is directed to cause a state transition of the lead to a preferred state. In another embodiment, systems and methods are presented for feature extraction from one or more messages. In yet other embodiments, systems and methods for message cadence optimization are provided.

Abstract: An online career guidance system generates and displays superimposed polygons to a user for a corresponding career. The first polygon may have three to eight vertices, with each vertex representing a career skill. The distance from a focus to each vertex represents a career skill level predetermined to be needed for that career skill for that career. The second polygon has the same number of vertices as the first polygon that represent the same career skills and shares the same focus. The distance from the focus to each vertex of the second polygon represents a user skill level determined from previous achievements of the user. The distance between a career skill level and a user skill level (preferably both normalized to the same scale) visually represents any career skill deficits (or over qualifications) the user may have for the selected career.

Abstract: A computer-implemented method comprises, generating, for each group of a plurality of groups of user accounts, a collaboration index value representing a first level of interaction of the each group with other groups of the plurality of groups, the interaction comprising a plurality of operations using a plurality of different computer-implemented applications or functions, generating, for each group of the plurality of groups, a productivity index value, each productivity index value representing a second level of productivity of the respective group, the productivity comprising creating or editing electronic documents using the plurality of different computer-implemented applications or functions, storing, in one or more data repositories, a plurality of first recommendation segments for a collaboration index, each of the first recommendation segments for the collaboration index indicating a range of collaboration index values, storing, in one or more data repositories, a plurality of second recommendation

Abstract: The global proliferation of high speed communication networks has created unprecedented opportunities for geographically distributed resource interaction. However, while the opportunities exist and continue to grow, the realization of those opportunities has fallen behind. A resource virtualization system solves the enormous technical challenges of finding and evaluating resources to assign to complex projects.

Abstract: An employment exchange for facilitating the transfer of verified candidates between an off-boarding employer and an on-boarding employer, comprising an outplacement tracking module, a requirement tracking module, and a placement tracking module. The outplacement tracking module verifies the identity of a user, such as an employer or a candidate, before the user can register with the employment exchange, and further ensures that each candidate is an active job seeker whose employment is terminated by an off-boarder. The requirement tracking module allows an on-boarder to post job requisitions and hire candidates, and allows a candidate to apply to job requisitions. The placement tracking module tracks the status of a placement offer extended by an on-boarder to a candidate to verify that the placement is completed.

Abstract: A computer system is provided that includes a server configured to store a plurality of location accounts, each location account being associated with a physical space at a recorded geospatial location. The plurality of location accounts utilize shared data definitions of a physical space parameter. Each physical space is equipped with a corresponding on-premise sensor configured to detect measured values for the physical space parameter over time and send to the server a data stream indicating the measured values. The computer system further includes a network portal, via which an authorized user for a location account can selectively choose whether to share the measured values or a summary thereof with other location accounts via the network portal.

Abstract: Improved automated techniques are described that more efficiently match candidates to job opportunities. These techniques include a reactive matching process that uses improved pattern-matching algorithms to determine exactly how well a particular individual matches an employer's requirements. In at least one embodiment, results are displayed in real time using user-friendly visual indicators on job displays and/or on a dashboard.

Abstract: Providing code offerings inside code is provided. Intent of an under-developed code within a programming environment is identified by analyzing program documentation and program code corresponding to the under-developed code. The identified intent is published as a request for bids on a network. A ranked list of software codes returned against the request for bids is provided within the programming environment. Each software code in the ranked list of software codes, along with its respective proof that includes library, documentation, and code snippet, is compared with the identified intent for relevance and sorted based on monetary value of its corresponding bid.

Abstract: A system and method for facilitating parking enforcement officer dispatching in real time with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.

Abstract: The present disclosure includes a prescriptive engine system and a method of using the prescriptive engine system. The method includes receiving information on actions and receiving information on participants, the information on the participants including first suitability information of at least one participant for at least one of the actions, generating, based on the first suitability information, second suitability information for a set of participants for at least one action, allocating, based on the second suitability information, the at least one action to the set of participants, deploying the at least one action to the set of participants, receiving, after the at least one action has been performed, results of the at least one action for each participant in the set of participants, and updating, based on the received results, the first suitability information of each participant in the set of participants for the at least one action.

Abstract: Hosted server implementation is provided for intermediating anonymous firm matching and exit strategy negotiations. The system generates user accounts in response to user interaction with a hosted server interface, and matches client users based on at least an industry type and user-selected criteria, and electronically presents users with anonymized profiles corresponding to the users matched therewith. Responsive to selection of an anonymized profile, the system enables confidential and anonymous sharing of client user data corresponding to the selection criteria. Further responsive to authorization from each corresponding client user, the system generates intermediated and anonymous correspondence between a first client user and selected client users via a hosted server platform, wherein the hosted server interfaces substantially prevent identification of either client user participating in the intermediated correspondence.

Abstract: Systems, apparatuses, and methods for providing roadside assistance services are described herein. The system can include network computing devices and computing devices associated with vehicles and service vehicles. Requests for roadside services can be automatically assigned to an available service provider. Service providers can be ranked based on a variety of criteria and requests can be assigned based on the ranking. The ranking of service providers can be adjusted based on the performance of the service provider. If a service provider takes too long to respond to a request, the request can be automatically declined and an alternative service provider can be selected.

Abstract: In some examples, a system may receive from a device, speech sound patterns corresponding to a voice input related to equipment. Further, the system may determine an identity of a person associated with the device, and may identify the equipment related to the voice input. Using at least one of the received speech sound patterns or a text conversion of the speech sound patterns, along with an equipment history of the identified equipment, as input to one or more machine learning models, the system may determine, at least partially, an instruction related to the equipment. Additionally, the system may send, to the device, the instruction related to the equipment as an audio file for playback on the device.

Abstract: Local caches are provided for last-mile item distribution. Each local cache stores items belonging to different customers. A management server tracks customer locations relative to a local cache. The management server instructs at least one robot within the local cache to ready for pickup items belonging to a particular customer as the particular customer nears the local cache. The robot retrieves and queues the items for pickup prior to the particular customer arriving at the local cache. The item is transferred once the particular customer arrives at the local cache. The management server monitors the position through a front-end application running on a mobile device of the particular customer. The application can also be used to contact delivery drivers to deliver items on behalf of customers that do not wish to pickup items from the local cache.

Abstract: An intelligent system and method for analyzing documents and suggesting corrections based on diversity criteria include a processing device to analyze a job document, using a machine learning model, to identify a first expression representing a first qualification requirement favorable to a first class of applicants than a second class of applicants according to a diversity metric, responsive to identifying the first expression, determine, using a semantic relation map, a second expression representing a second qualification requirement that is less favorable to the first class of applicants when compared to the first expression, and responsive to determining that the second expression, present the second expression on the interface device as a suggested replacement to the first expression in the job document.

Abstract: Systems and methods for quality control of worker behavior are disclosed. The systems and methods may be configured for: receiving a data set associating a plurality of violations with a plurality of delivery sites, wherein each violation in the plurality of violations is associated with a delivery site and the violations are organized into one or more violation categories; filtering the data set to obtain a subset of violations reflective of a current worker behavior; for each violation category, identifying a first violation from the filtered data set associated with the violation category, the first violation being associated with a highest penalty; determining a rating based on the first violation identified for each violation category; and transmitting the rating to a remote device associated with a delivery worker responsible for the violations.