Skip to main content

Sales Rep Mobile App on the App Store



Field sales managers and supervisors need timely information from the field to properly do their jobs. However, when an outside sales rep is doing back office work, especially a "superstar", he/she is not selling.

VisitBasis is a complete mobile field sales solution, as it is a cloud-based enterprise data collection software for managing, scheduling, and monitoring field team activities in real-time. It allows field sales operations managers and supervisors to oversee all stages of the outside sales process, from assigning territories, calls and tasks to retrieving up-to-the minute results through VisitBasis online dashboard and reports.

The VisitBasis Sales Rep Mobile App allows field reps to perform all sales-related activities on the go, virtually eliminating paperwork, increasing customer-facing time and reducing sales cycles. With VisitBasis, outside sales reps are able to:
  • Place orders and supply call-related information from their smartphones or tablets (iOs and Android)
  • Calculate the best route for the day, saving time and travel costs
  • Have all the information they need to succeed at their fingertips, including customer and product information

Keep your field sales in the field, anytime, anywhere with the VisitBasis Sales Rep Mobile App. Set up today your free account today at www.visitbasis.com!

Let us show you how VisitBasis works - schedule your demo today by emailing us at sales@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...