Skip to main content

How Field Sales Can Capitalize on the Improving Economy

By Anonymous

As the US economy continues to improve, it is expected for business of all sizes to plan on capitalizing on the positive market conditions. Bottom line is, everybody wants to sell more.
Naturally, companies with field sales teams are no different, and VisitBasis can help these companies increase revenues in several ways:
  1. By empowering outside sales reps - VisitBasis brings the sales process to your reps' mobile devices. Your field team will have access to mobile ordering, as well as customer and product information, and will even be able to prospect by adding new customers to the system while on the field.
  2. By improving training - With VisitBasis you can set up predefined tasks for your reps to perform at customers, so you can more easily implement successful sales strategies.
  3. By making it easy to squeeze in extra sales calls - The VisitBasis Route Optimization tool saves your team time and money by plotting the shortest customer route for the day, so it might open up enough time to squeeze in an additional call or two.
  4. By letting you know at all times what is going on in the field - With the VisitBasis real-time dashboard you are able to know at all times where your outside reps are and what they are doing, speeding up decision making.
Be ready to capitalize on the growing US economy! Set up today your free account today at www.visitbasis.com!

Labels:

Comments

Post a Comment

Popular posts from this blog

Machine Learning and Image Recognition in Retail

By Anonymous
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...
1 comment
Read more