How to Research Your Competition Using Field Team Management Software

Why Companies Need Competitor Analysis?

Competitor analysis is a substantial part of marketing strategy. It allows companies to assess their competitor’s strengths and weaknesses and develop effective strategies to improve competitive advantage. Yet most of the companies do not conduct this type of analysis systematically enough, relying on intuition and informal impressions. A lack of robust competitor analysis places companies at risk of being outdone by competitors.

How Field Team Management Software Can Help Research Competition?

Today keeping up with the times companies have already implemented various types of field team management software to automate field reps activities and improve their performance. It should be mentioned that a comprehensive field team management software solution is not just for field reps tracking or store tasks performance. The most sophisticated field team management solutions offer companies the ability to conduct regular store audits collecting various types of data, including clients information, prices, parameters of the layout, photo reports, customer surveys, stock levels, promotional activities and so on. Thus, to take the full advantage of their field team management software solution, along with gathering store data on it’s own performance, companies should do the same thing with competitors’ information.

What Are The Benefits of Automated Competitor Data Collection?

Field team management software provides customizable task templates with different types of answers for everything that needs to be checked, allowing your field reps to capture accurate, live data that can be analyzed in real time back at the home office. Real-time analytics and customizable reports to analyze competitors’ strategies is one of the most important features of field team management software, which allow companies to use targeted marketing when competing with those surrounding brands.

To get more information about how to research your competition or to see for yourself how you can so it in the most innovative way, visit www.visitbasis.com and get your free trial today!

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...

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