Accurate and real time footfall data is the basis of major decisions in retail. Erratic footfall data will proportionally magnify itself in the accuracy of results of the decisions. One of the Key Indicative factor of a successful store is the conversion ratio, though every single department in a modern retail environment will find the data extremely valuable for their functions, be it, staff planning, stock replenishment, or marketing or store decisions. The near real-time data input and compilation of graphical reports help to corrective decisions before they become unrecoverable. Comparative data based on time, locations, and stores are very useful for corporate retailers to improve their sales and profits.
IbTech solutions for footfall count are not only the most accurate and reliable solutions available in the market but also the most viable since it doesn’t require any local IT infrastructure
Nedap counts visitors as they enter the store and provides reliable, real-time information to the store manager and (regional) headquarters. These visitor statistics enable you to accurately match staffing levels to peak shopping times, and to get insights into which staff teams are being most effective. By comparing different staff teams, and from store to store, you can raise the conversion rate across the operation and make sure that your customer service is optimized while your store is neither under- nor overstaffed.
- Stand-alone or integrated solutions
Fully integrated in your EAS antennas or floor-/wall-mounted systems
- Real-time data
Track visitor numbers in real time
- One organization-wide dashboard for all your stores
Benchmark and compare teams and stores
- Calculate your staff planning
Compare peak hours, dwell time and staffing levels with visitor numbers
- Connected systems
Remote maintenance and updating of all connected systems
Monitor and benchmark all your stores in the organization-wide Retail Analytics dashboard, which enables you to track visitor numbers in real-time. Retail Analytics gives you insight into the number of visitors, the average dwell time and the visitors per square meter. This results in the total selling time and the consequences for the theft risk in each store.