AI footfall counting and security monitoring system for Jewellery store - AVR Swarnamahal

AVR swarna mahal is a jewellery store based in India that has a presence in almost different regions of the country. With excellent product quality & customer  service, the company has gathered extensive experience, developed a good clientele base and continuously increased in business volume.

 Challenges faced

• From the client’s end, they confronted some difficulties in delays, diminished customer satisfaction and operational costs.
•  Ineffective demand forecasting & footfall tracking impacting the revenues and overall business  performance.
•   Lack of real-time tracking resulting in resolving bottlenecks and detection. 
• Absence of scalable business models and adaptability.

Solutions offered

• As a cloud-based solution, we provide centralization of  data across different regions, advancing visibility, scalability and collaboration.
•    AI-enabled predictive analytics demand forecasting assists in aligning inventory levels with market demands.  
•  Streamlined order processing and inventory updates diminishing technical glitches often caused by manual errors. 
• Creating custom dashboards administering actionable insights for authorities to make proactive decisions.

Benefits of Visionfacts AI 

• Visionfacts AI comes with a lot of centralizing data across several regions advancing visibility and scalability. 
• Automation and optimization of processes with integration of AI software 
•  Improved proactive decision-making with real-time insights from custom dashboards.

Key Features

The AI software technology detects staff members & automates the management of attendance within the store premises. It can screen for face masks and identify people with attributes such as hairstyles, beards, and accessories.

The AI-powered footfall counting system helps in detecting humans with new and repeat features. It identifies gender and age seamlessly. 

It provides day-wise automated reports for the total walk-in count in each store and bifurcation between new customer count and repetitive customer count.   

It offers a daily footfall count report with user pictures and whitelists the employees and housekeeping. From identifying human faces as per attributes to alerting authorities in case of intrusions, AI technology is beneficial to recognizing faces. 

The daily report it offers provides total footfall and ordered count of the total number of people entering the premises. For instance, when 20 people walk into the store, within which 2 or 3 people are in a group, they will be considered as one walking so the ordered count for the day will be 14.

When a customer is visiting the retail for the first time, their records are kept and the next time they visit, it helps to create personalized greeting messages for the customers. 

Several customers who are blocklisted due to shoplifting or any other vandalism are often recorded as blocklisted customers. Whenever they visit the shop, it sends notifications and alerts the security authorities immediately. 

For detecting shoplifting more accurately, AI datasets can be trained seamlessly. Shoplifters are identified in real-time for detecting shoplifting activities within the shopping premises. AI technology has prevented many thefts from taking shape.