International Research journal of Management Science and Technology

  ISSN 2250 - 1959 (online) ISSN 2348 - 9367 (Print) New DOI : 10.32804/IRJMST

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AI BASED EMPLOYEE TRACKING SYSTEM

    3 Author(s):  SHWETA N.KAPDE ,SNEHAL S. MANDLIK , DIKSHA M. RANMALE

Vol -  10, Issue- 3 ,         Page(s) : 75 - 78  (2019 ) DOI : https://doi.org/10.32804/IRJMST

Abstract

AI Based Employee Tracking On Field consists of an intuitive and simple mobile app along with a powerful web-based dashboard that come together to form a powerful sales force tracking, monitoring and reporting system. AI Based Employee Tracking On Field is all about effectively tracking your sales for cando their field teams,to ensure that they use their time most productively while on the field. Along with providing your field force a number of convenient tools and workflows to let them handle their routine tasks and reporting activities right from the field. AI Based Employee Tracking On Field mobile app allows your field staff toper form virtually all their routine administrative tasks from field locations,submitting visit reports and expense reimbursement claims, scheduling field visits and recording visit outcomes and follow-up tasks give kilometer wise money to employee and best of all, to even punch-into attendance system at the start of the day and punch-out from their last visit location.In this app team interface help to manager to view the location and activities of their team and scheduling the visits.

• 2015 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT) GPS Enabled Employee Registration and Attendance Tracking System.
• Puscasiu, A., Fanca, A., &Valean, H. (2016). Tracking and localization system using Android mobile phones. 2016 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR).
• R.Anand,G.Arunkumar,S.Murthy,‖Mitter-bitter monitoring system using android smartphone‘s‖,2012 IEEE.
• R. Agrawal, M. Caesar, P.M.Godfrey. “Shortest Paths in Less Than a Millisecond”, WOSN’12,  August 17, 2012, Helsinki, Finland.
• R. Bajaj, S.L. Ranaweera, D.P. Agrawal, “GPS: location-tracking technology”,  France Telecom R&D, San Francisco, CA Computer, 05/2002; DOI:10.1109/MC.2002.993780.

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