Shoplifting is a persistent challenge for supermarkets. According to data from the Ministry of the Interior, the number of this type of crime increased by 14 % in 2022.
To counter this trend, artificial intelligence (AI) is emerging as an innovative solution, transforming store security: deter, analyze, alarmr.
Intelligent video surveillance.
We already knew that surveillance cameras installed in stores act as a deterrent. Empirically, they have also proven their effectiveness in removing suspicion after the fact, in the event of a crime. The integration of artificial intelligence (AI) into these systems goes beyond the principle of deterrence and verification, offering intelligent video surveillance and advanced functionalities. From deterrence in the past, we are moving towards real-time anticipation and verification.
Algorithmic video protection systems identify abnormal behavior, erratic movements, unusual gatherings of people or actions out of step with normal patterns of activity. They analyze all captured video data in real time and continuous flow, and compare it with the patterns they have been taught: normal versus suspicious activity.
Multiple data capture for enhanced security.
Artificial intelligence can aggregate data from various sources: cameras, sensors, points of sale and inventory management systems. Adapting your sensors to the different typologies (size, preciousness, frequency of theft) of your products improves tracking efficiency and the relevance of the data retrieved. The more data collection points you have, the more data analysis you'll be able to make informed decisions.
By combining all this data, artificial intelligence can establish correlations between suspicious behavior and other activities in the store, making cause-and-effect relationships. By being aware of these inter-connections, you can intervene in all aspects of store management, right through to the customer journey, from a holistic operations perspective.



Real-time analysis of video streams for enhanced responsiveness.
Algorithmic video protection systems analyze video data from security cameras in real time and in a continuous stream.
When suspicious activity is detected, your video protection system generates an immediate alert for the people responsible for the establishment's security: store manager, internal or external security teams, etc. Alerts can be transmitted via mobile applications, e-mail messages or other channels. A personal choice of medium facilitates the transmission of information, and therefore rapid intervention.
This rapid perception of the situation - transmission of information - also enables uncertainties to be cleared up quickly and efficiently. Using this approach to confront the suspect by showing him the video authorizes the security guards to search his bag, acting in accordance with the law.
CONCLUSION: Optimizing store security with artificial intelligence.
Artificial intelligence thus brings a significant transformation to store security, offering intelligent video surveillance, multiple data integration and real-time alerts. These advances enable not only effective prevention of shoplifting, but also overall management of store operations. Artificial intelligence, and in particular our LP PredictThis makes it an invaluable ally in guaranteeing security and transparency, while optimizing management processes.