Sightcorp industry solutions for
Supermarkets
- Gain Anonymous Insights About Your Customers
- Build an Effective Retail Media Network using AI insights
- Increase Customer Engagement In-Store
- Deploy A Smart Screen Traffic Light System for Customer Access Control
DeepSight Toolkit - Ready to Use Solution
Through the use of Sightcorp’s DeepSight software, you are able to anonymously detect and count the number of visitors within the given store in a ready to use solution. The only thing required is a camera that will have to placed within the location that you want to observe, (normally recommended at the store entrance) and a digital screen. After the camera is placed, and digital screen positioned, the software will be able to operate in a fully automated manner.
DeepSight SDK - Build Your Own Solution
Use the DeepSight SDK in order to reveal various insights about your customers, such as their interests, reactions and behavior. The SDK is compatible with many other applications and can be written in your own programming language. Making it a convenient and excellent choice when building your own creative solutions!
Reach Your Audience In The Physical Retail
Using our audience analytics product, DeepSight, you can build a high impact, retail media network that increases revenue and promotes customer engagement.
What you can do using supermarket audience analytics:
- Gain real-time customer insights
- Deploy hyper-personalized content
- Measure viewing behaviors & content performance
- Monetize your in-store digital displays by selling ad space to third party advertisers using validated impressions
- Match audience viewing data with POS data
Sightcorp's Supermarket Solution - Smart Screen Traffic Light
We have created a reliable solution that promotes safety monitoring, delivers high advertising impact and assists with accurate in-store analysis all in one!
Through the use of an AI-powered screens and kiosks throughout your supermarkets, you can elevate advertising potential and enable visitors to see important in-store safety messaging. Improve your customers’ experiences now using our anonymous face analysis technology.
Key messages can be delivered on:
- Targeted Advertising
- Safety information
- Mask Detection
- Occupancy levels
- Queues and Waiting Times
- Entrance Permissions
Streamline Self-Service Checkouts
Use our age verification technology to carry out automated and anonymous age checks for the purchases of age restricted goods such as alcohol and tobacco. Remove the laborious task of manual ID checks, free up staff, and streamline the purchasing process for your customers. With our face analysis age checker, you can make your self-service system truly automated. With the age checker you can:
- Check & Verify Age Easily
- Assure 100% Customer Privacy Protection
- Be GDPR & CCPA Compliant
-
Integrate Non Intrusive & Subtle Technology
Our Partners
Conduct Impactful Market Research
Through the implementation of face analysis, you can understand who your main customer persona groups are and start gaining powerful insights that will help you to; optimize your supermarket, understand how to create a tailored shopping experience that customers will return for and inevitably boost your ROI.
Demographic Analysis: Detect the age and gender of your customers for optimum product procurement.
People Count: Count how many people enter your store and measure that against sales figures to better understand conversion rates.
Attention Analysis: Establish how long customers are analyzing products and which products they are looking at by placing cameras at the end of isle promo bays.
Measure Customer Experience
Our face analysis product DeepSight also comes with Mood Detection built in. By placing a camera at the entrance of your store, you can measure your visitors’ mood and monitor if they are leaving happy and satisfied. Using this method of analysis you can:
- Monitor Staff & Store Performance
- Receive Honest Feedback
- Identify Areas of Improvement
- Make Optimizations
- Improve Overall Customer Experience
Audience Analytics for Supermarkets
How is occupancy monitored in Supermarkets?
Crowd occupancy at supermarkets can be monitored using deep learning technology, CCTV cameras and facial recognition systems. Cameras positioned at venue entry points monitor store premises and deep learning algorithms trained to detect faces then count and keep track of how many individuals are present within a given area. This data is anonymously gathered and stored on a CMS and is simultaneously displayed on digital screens so that venue staff and visitors can be updated on capacity numbers in real time.
Reporting Dashboard
Get an easy overview of the aggregated data with our complimentary Toolkit Visualizer. You will receive the Visualizer when applying for the Toolkit trial. The Visualizer shows in an easy to interpret interface of the data that was analyzed over a 24-hour period. The Toolkit also comes with a ready integration with a Cloud based dashboards. Contact us for more information.
Supermarket Analytics and Audience Analysis
Gaining insight into customer behavior and engagement can be made easily accessible using our facial recognition solutions for audience analytics. Collecting anonymous audience data using facial biometrics such as age, gender, mood and attention time, provides a true picture of visitor demographics, their engagement and experiences when inside the venue. In turn, this allows for customized and targeted content to be created and displayed.
How accurate is the Software?
Our software has been developed and tested in challenging scenarios. The higher the influx of people present in a frame the more tasking it becomes for machine learning algorithms to work to their highest level of accuracy. However, we have created our product with these real life challenges in mind and are therefore prepared for facial analysis barriers such as occlusions or densely populated areas. Maintaining a high accuracy level in unpredictable scenarios and upholding confidence in our products.
With an accuracy of 75%, the different facial expressions can be detected. The accuracy of detecting the overall mood is 92%.
What is Face Analysis?
Our Face analysis technology analyzes the emotional responses of detected faces. It can recognize 7 basic emotions based on the movement and position of facial muscles. The different analysis produces a confidence score for different types of emotion: anger, disgust, fear, happiness, surprise, sadness, and neutral.
How does Face Analysis Technology work?
Ready To Get Started With Our Customer Analysis Technology?
Test it free for 2 weeks on your favorite desktop platform