Retail, like many industries, is using IoT technology to enhance customer experience, reduce costs, drive growth and improve overall performance. There are many ways in which the retail industry can use IoT technology. The sensors allow store managers to monitor customer satisfaction, provide supply chain insights, monitor food safety, track assets, etc. The collected data from sensors open new opportunities and move business ahead, if it is analyzed and used strategically.
Smart Store Monitoring support retailers in their journey to IoT adoption, through two main objectives:
The real-time data is collected by always connected sensors
Big Data Platform
Gathered data is stored and processed on a big data platform
Artificial Intelligence/ Machine Learning
Data analytics is performed to gain insights
Monitoring/ Prediction/ Alerts/ Crossover KPIs
Real-time detection and reaction to opportunities and threats
People counting sensors
The sensors monitor the behaviour of people visiting the stores. They gather data by counting the number of people entering and exiting the spaces and by measuring their actions and movement.
They measure the temperature of the environment and collect data to monitor or signal temperature changes.
They measure the humidity in the environment, working to control it in order to prolong the life and quality of the products, applying the proper humidity for each area.
The magnetic sensor counts how many times the refrigerator door was opened/ closed, notifying working personnel when a beverage supply is needed.
The sensors monitor the temperature inside the refrigerator and alert in case of fluctuations outside the set parameters.
Electric consumption sensors
Using smart energy management devices, responsible personnel will be alerted in real- time about any failure or any problem of the electricity system.
Using the data provided by in-store sensors, we can develop actionable alerts that could start the ovens, but also forecasts for the optimum operating times, for each location.
Smart Store Monitoring enables rapid and scalable IoT deployments with full-scale identity management. Its security management is based on the following pillars:
- Data acquisition: the sensors acquire physical signals from the environment, converting them into encrypted digital information.
- Data communication: all sensors send encrypted data to prevent manipulation and alteration.
- Data processing: the platform allows only authorized users to access the captured data.
- Data storage: all data uses encryption technologies in order to be stored on a big data platform.