From camera system to personal data analyst on the shop floor

When we write about Video AI Analytics, we often talk about issues related to safety and security. However, the technology goes much further than that alone. In fact, did you know that using Video AI Analytics, your existing camera systems in the shop can also act as personal data analysts? In this article, you will discover how!

In the offline retail sector, analysing all kinds of data is just as important these days as it is in the online field. After all, to stay competitive, you need insight into where profits can be made. Video AI Analytics offers several solutions, allowing the technology to act as a permanent, all-seeing data analyst within your retail environment. The technology transforms camera images into valuable insights, allowing retailers to make data-driven decisions to optimise their operations.

From data to insight

But what data can this technology analyse for you? Below, we highlight a few different types.

People Counting

Video AI Analytics accurately counts the number of visitors entering and leaving the shop. This feature provides insights into:

– Peak moments in terms of visitor numbers
– Conversion rates (visitors vs. buyers)
– Effectiveness of marketing campaigns

By analysing this data, you can optimise staffing levels and adjust opening hours to customer flows.

Object Counting

Besides counting people, Video AI Analytics can also count specific objects. In een retailomgeving kan dit worden toegepast voor:

– Inventarisatie van winkelwagens en mandjes
– Monitoren van voorraadniveaus op schappen

Deze functie helpt bij het stroomlijnen van voorraadbeheer en het voorkomen van out-of-stock situaties.

Heatmaps

Heatmaps visualiseren klantenstromen en populaire zones binnen een winkelomgeving. Deze functie biedt inzicht in:

– Most visited areas
– Underutilised spaces
– Effectiveness of product placement

This information allows optimising shop layout, strategically positioning popular products and improving the overall shopping experience.

Analysis of demographics

Video AI Analytics can estimate customer demographics, including age and gender. This feature helps with:

– Matching product assortment to the target group
– Personalising marketing campaigns i.c.w. digital signing, for example: match the offers to the audience that is in the store at that moment.

Through these insights, it becomes possible to develop a more targeted and effective sales strategy.

Analysis of outdoor environment

The capabilities of this technology do not stop at the entrance/exit of the shop. There are also several things that can be monitored and analysed outside. Think, for example, of vehicle counting or parking management.

Vehicle Counting

For retailers with parking facilities, Video AI Analytics offers vehicle counting. This provides insights into:

– Peak times of parking usage
– Correlation between parking usage and shopping visits

This data helps optimise parking facilities and improve the overall customer experience.

Parking Management

Besides counting vehicles, Video AI Analytics can also be used for efficient parking management. Features include:

– Real-time occupancy rate of parking spaces
– Detection of long-term and misdirected parkers
– Guidance to available parking spaces

This functionality improves parking flow and increases customer satisfaction even before visitors enter the shop.

Continuous insight leads to optimal decision-making

So by deploying Video AI Analytics with existing camera systems, it becomes possible to monitor video images 24/7. Something that is practically impossible for the human too. On top of that, this collected data is always objective and real-time and can be used to create reports. For example, in combination with a BI tool. This enables immediate decision-making based on data.

Want to know more about the possibilities?

For retail, we offer several options. Check them out via the overview page of our solutions or Contact with one of our specialists. They will be happy to help you.