Skip to main content

Essentials for Effective Field Reps Supervision


Commonly, while monitoring sales teams activities companies have to rely on sales data and paper reports provided by field representatives. Therein field team managers often get inaccurate or undue information from the field reps including data errors, lost paperwork, fraudulent reports, and improper use of the working hours.

The development of mobile technology has opened up the new opportunities of field team management, including real-time GPS-monitoring of field reps on the map, time-stamped data, and instant reporting and analytics. Using a software solution for field force automation you can optimize field team management and increase productivity of your field reps. Here are some tips to increase the efficiency of field team management.
  • Select the right field team players. Choose self-motivated and results-driven individuals with good communication skills.
  • Set up clear goals and objectives for you field sales team. The goals may vary significantly from the increase in sales to enhanced customer loyalty. 
  • Define key performance indicators to analyze how well field reps activities are supporting the company’s goals. The indicators should be aligned to goals, measurable and achievable.
  • Intensify communication by going mobile. Make sure your field representatives have instant access to necessary information and are able to report on complicated issues immediately.
  • Use digital tools to streamline data workflow. Adopt an easy-to-use and affordable field team management solution to evaluate field reps activities through GPS and real time dashboards and reports.

To learn more about how to implement field force management software and to make your field teams supervision more effective, visit www.visitbasis.com.


Comments

Popular posts from this blog

Machine Learning and Image Recognition in Retail

References to machine learning seem to be everywhere these days. From new university-level courses to magazine articles and social media posts, daily we encounter new information on artificial intelligence and machine learning. But how can those new technologies be applied to improve retail operations? One of the main ways that machine learning can help retail is when it comes to quantifying data that previously came as individual pieces of information while surveying stores, such as images. Image recognition in retail is one of the best examples of the use of machine learning in merchandising applications.  Machine learning allows images to be fed by programmers into a mobile merchandising system in order to train a neural network to identify product faces on outlet shelves. Then, field staff can simply take pictures of the store shelves on their mobile merchandising apps and the system will be able to identify - with accuracy that reaches 95% - the number of faces of t...