Skip to main content

Take Full Advantage of the Latest Cloud and GPS Technologies with VisitBasis


What if you could be in the field “virtually”, knowing where your field reps are and what visits and tasks they have completed for the day?

With VisitBasis you can.

VisitBasis makes use of the latest Cloud and GPS technologies and puts them to work for trade marketers, merchandisers and sales managers:

  • With real-time dashboard, map and reporting you track all visits and tasks being performed by each one of your mobile agents, and every single activity is time and geo-stamped.
  • GPS technology is also a key element to increasing rep productivity: with tools like Route Optimization your reps will spend more time on visits and less time on the road.


cloud merchandisng app, cloud retail execution app, cloud sales app, cloud field marketing app



  • VisitBasis runs on Google Cloud, a solid and robust environment that you can count on for the best service availability even if your company is multinational and runs in different countries and time zones.
  • Being on the Cloud also makes it possible for reps to work on VisitBasis offline, and the system will automatically synchronize once an Internet connection is established.


Sign up today for a free account and see what VisitBasis can do for you! 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...