Retail Intelligence

As a retailer, the more you know about your customers the better off you are. At ASE, we specialize in using pedestrian flow measurement techniques to help retailers improve their offering and increase conversion rates. When systematically gathered, and analyzed in the right way, data about the movements of people outside of and within a store can be very revealing. Whether it’s optimizing your staffing to get the full potential out of a location, reducing waiting times to improve the customer experience, or simulating the effects of a change to your store layout before undertaking an expensive renovation: we provide the information you need for well-founded decisions, helping you turn passers-by into paying customers.

Seeing is believing

Visitor measurement and site evaluations

The movement of customers outside and within your store can tell you a lot about how efficiently your business is being run and its true potential for growth. Yet this information is rarely gathered in a systematic way or scientifically analyzed. As experts in measuring pedestrian flows we have access to the newest, most state-of-the-art sensor technology. With it, we can help you collect the best, most comprehensive sets of data and combine it with other pertinent information, like weather patterns, daily revenues, economic conditions, and so on. With our wide experience in retail intelligence and our sophisticated tools – including our industry-leading Diamond Reports analysis tool – we can help you make sense of it. Use this information to make the most of what you already have, or to invest in changes that actually make a difference to your business.

Right-sizing

Needs-based personnel and resource planning

To provide the best customer experience, you need the right staff and the right product in the right places at the right time. This is no easy task. Planning effectively means knowing how many visitors you can expect to your store, and when. We take pedestrian flow data gathered at your location and, using sophisticated extrapolation and simulation methods, make reliable, quantitatively based short- or long-term visitor prognoses. This puts powerful forecasting ability in your hands, helping you allocate your resources in the best – and most cost effective – way.

Right-servicing

Service level optimization through reduced waiting times

Long lines in front of a cashier, or a wait to be served by a salesperson, can be a real turnoff for customers in a store. At ASE we are keenly aware of how crucial a factor waiting time can be in determining customer conversion rates in the retail sector. We have put a lot of time and effort into studying the problem, both in terms of determining the causes and effectively predicting waiting times under various conditions. Using our measurement and analysis methods, we can provide you with well-founded prognoses – based on the actual observed customer flows in your location – of the amount of time your customers can be expected to have to wait based such parameters as time of day or number of staff. With these insights, you are in a good position to address the issue, either by shortening the wait, or letting your customers know what to expect. Either way, you improve the customer experience, and with it your turnover.

Location, location, location

Evaluation of retail sites in terms of pedestrian flows

The number of visitors to your store is heavily influenced by its location. We can help you analyze the pedestrian flows not only in and out of your establishment, but also around it. This can be very useful in helping you get more people into the store, or in deciding where to open a new one. Because we use quantitative data and robust simulations, we can give you a good indication of what you can expect before you invest heavily in a specific location or concept. This can help you avoid nasty surprises – and provides an extremely cost-effective way to reach the full potential of your investment.

Success Stories

  • melectronics Migros

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    2016
  • Multifunctional Counting System at Migros

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    2015
  • Customer Frequency Tracking System of SBB

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    2015