
Data delivers the closest possible picture of reality, with the goal of extracting quantitative and qualitative insights. It is a tool capable of shaping opinions and an important means for making smarter, more accurate decisions.
COVID-19 arrived bringing important lessons for the market as a whole. Adaptability and resilience are essential traits for any person, company, or institution to come out stronger from the drastic and unpredictable changes resulting from what we are living through.
The shift in people’s behavior and needs in the face of this reality will directly impact the configuration and application of design and architecture in public and private spaces, furniture, transportation, and more.
Design, as always, plays a facilitating and universal role for users. And today it must be approached with even greater care and attention to minimize the impact of routine changes for those who will have to return to normal activities such as working and shopping.
One trend we believe will continue is the expansion of empty spaces, increasing the distance between users, creating physical barriers between staff and shoppers, and, consequently, minimizing close physical contact on all fronts. Architectural projects will need to have their minimum standards rethought, while adaptations should be made through the use of technology and automation.
How and how often we use public and private spaces is also likely to change, so spaces must be rethought to be more efficient on smaller scales. See how data can help with the mission of dealing with new forms of consumption and behavior, as we move ever closer to the post-pandemic scenario and need to make the necessary adaptations at the POS to welcome people safely.
Strategy
Data is the main source for strategy. But before looking for data and thinking about a strategic action, you need to know what your goal or goals are. Make a list of the things you need to do:
- Improve the store layout;
- Add focal points;
- Find out which products attract shoppers the most.
Based on your goals, you’ll be able to map out your strategy, collecting data to define the action plan that will identify:
- The best focal point inside the store to display key products;
- How and where shoppers move most inside the store, in order to improve the layout.
Through data collection, you can see patterns emerging and invest in your strategy.
Sensors
We already know how important technology at the POS is for supporting retail. Here, we’ll talk about the use of proximity sensors, which detect movement and can generate an endless amount of data. It is basically a technology that receives and transmits signals based on movement.
A simple way to use sensors to collect data is to install them at the main entrance of stores to identify the percentage of customer traffic versus the number of people who actually made a purchase. And that’s not all, we can do much more! Strategically, we install sensors on shelves, product display tables, and even holographic shelf displays. To obtain real data, we can combine the entrance traffic counter with the metrics sensors placed on tables and products to generate new insights.
That’s the case with the “Smart Table”, an Alice Wonders project for Intel, a space where customers can try out all the available products. Using an interactive touchscreen that asks questions about their preferences and what they need, it recommends the most suitable laptop model at the end. This table has IoT sensors that transmit data on people’s proximity to and interaction with the products.

Below is a list of what can be monitored with sensors to generate data at a POS:
- Dwell time
- Presence
- Macro journey
- Times by day/week, day/month, holidays
- Distance measurement
- Traffic
Analyzing Data

Data is a valuable source for decision-making. However, data analysis isn’t as simple or intuitive a task as it seems. You need to tap into the real potential of information in order to create effective solutions for a successful business. In other words, for all your questions, the answers come in the form of data.

The image above shows data from one of our clients, located in a shopping mall in São Paulo, where peak traffic is expected to occur in the middle of the day (lunchtime) and also toward the end of the day. That’s not what the report data shows, however: it indicates that peak time is around 4 p.m.
The big question is: what can you extract from the data? Data can reveal behaviors that guide strategies for marketing campaigns, promotions, and product launches. It’s important to combine this with BI (Business Intelligence) expertise to generate insights such as average ticket and feeding Industry 4.0, which can then produce, at greater scale, the products that are most purchased and sought after in stores, for example.
Want to learn more about how sensors can generate valuable data to improve the customer experience in your store? Get in touch with us and request a quote.
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