Vemcount Analytics makes it easier to reveal the correlations between retail data. It combines data from different sources – people counting, visitor's heat map, occupancy rate, etc. – to create more in-depth footfall analyses and get more accurate conclusions.
Since the beginning of 2005, we have used the most reliable and accurate counting devices to collect data and analyzeit through our software solution.
Our team created Vemcount to offer our clients better insights into cost savings, staff higher efficiency, conversion rate enhancement, and increased profitability.
Vemcount is a configurable and user-friendly software solution to help you make informed decisions that positively impact sales.
Our analyses cover essential information, such as the number of visitors with tracking maps to identify the traffic flow, and the customers' profile and behavior. We make it easier for you to create effective marketing and operational decisions and understand the related impact.
With a coherent digital infrastructure, your work processes will be streamlined, and your employees will experience a value that contributes positively to the daily decisions and work processes.
Access and navigate through multiple data sources with ease by integrating Vemcount with data from your existing systems. Discover correlations and add depth to your analysis.
Integrate Vemcount with your ERP, BI, POS, workforce, and other systems for an all-encompassing solution.
With a cloud-based solution, you get on-demand access to Vemcount, which is deployed and managed on our cloud infrastructure hosted by Amazon (Frankfurt).
Access Vemcount via browser as needed and reduce operational costs for maintaining an IT infrastructure or in-house staff.
We also support a private solution hosted by your company.
When you think about loss prevention solutions, you probably don’t think about people counters. You probably think about scanners at the door, and of course, security guards. However, footfall counters also have a role to play in security.
Heatmaps are a graphical representation that helps retailers understand how customers use their brick-and-mortar stores. The data generated at these physical stores help retailers better understand how customers browsed, shopped, lingered, and for how long.
Commercial buildings are evolving into smart spaces powered by the Internet of Things (IoT). This approach helps corporations and government agencies optimize processes and increase efficiency through data-driven decisions. Whether it is an office, university, or shopping mall, the footfall data gathered in real-time helps people make the most of their business.
"We use Vemcount to measure the traffic at our entrances, so we get an idea of where the customers come from and when the number of visitors peaks during a day, week, month or year. This gives us, among other things, a tool for planning our marketing and activity calendar and subsequently evaluating on these activities."
"Over the years, we’ve tested a handful of different people counting solutions, which unfortunately have disappointed us at every turn. Finally, with help from Vemco Group, we’ve found the right solution. A valid and good quality solution ensuring that we can optimize our business and measure the performance of our stores (…)."
Henrik Wieben - Country Manager, HiFi Klubben Denmark
"We use Vemcount to measure the traffic at our entrances, so we get an idea of where the customers come from and when the number of visitors peaks during a day, week, month or year. This gives us, among other things, a tool for planning our marketing and activity calendar and subsequently evaluating on these activities."
Janni Baslund Dam - Mall Manager, BROEN Shopping
"We wanted a central solution that could cover all of our department stores in Denmark. We wanted the same system and a hosted solution but managed from one place. It was also a requirement from the beginning that the solution was able to count very accurately. And Vemcount has worked perfectly."
Lasse L. Mohrsen - Loss Prevention Manager, Magasin Du Nord
