TaskComm: Task-Oriented Language Agent for Efficient Small Businesses Workflows

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Abstract

Abstract Small businesses often encounter challenges in managing workflows and ensuring effective communication among team members. To address these issues, we present TaskComm, a task-oriented language agent that enhances productivity within small business environments. The agent autonomously assigns tasks by considering ongoing projects, deadlines, and team workloads to ensure efficient resource allocation. Emphasizing adaptability, TaskComm learns from user interactions and continually optimizes workflow strategies. Its contextual understanding enables task prioritization, reminder setting, and real-time project updates. Furthermore, TaskComm supports integration with various existing tools and platforms, augmenting its applicability in daily operations. User studies reveal that TaskComm significantly decreases the time spent on task coordination while improving team collaboration. Through comprehensive testing, TaskComm has proven capable of addressing the unique demands faced by small businesses, enabling enhanced operational effectiveness and goal achievement.
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TaskComm: Task-Oriented Language Agent for Efficient Small Businesses Workflows | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article TaskComm: Task-Oriented Language Agent for Efficient Small Businesses Workflows Bingxin Zhu This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7122593/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Small businesses often encounter challenges in managing workflows and ensuring effective communication among team members. To address these issues, we present TaskComm, a task-oriented language agent that enhances productivity within small business environments. The agent autonomously assigns tasks by considering ongoing projects, deadlines, and team workloads to ensure efficient resource allocation. Emphasizing adaptability, TaskComm learns from user interactions and continually optimizes workflow strategies. Its contextual understanding enables task prioritization, reminder setting, and real-time project updates. Furthermore, TaskComm supports integration with various existing tools and platforms, augmenting its applicability in daily operations. User studies reveal that TaskComm significantly decreases the time spent on task coordination while improving team collaboration. Through comprehensive testing, TaskComm has proven capable of addressing the unique demands faced by small businesses, enabling enhanced operational effectiveness and goal achievement. Language Agent Businesses Workflows User interactions Full Text Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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