Computer vision is a robust technology that has been helping businesses improve their services. V-Soft Consulting worked with a Kentucky-based Indian restaurant, Tandoori Fusion, and helped improve customer experience and satisfaction using AI-powered computer vision technology. Learn more about this project in the case study video above, or check out the recap below.
How V-Soft Helped the Restaurant Experience
The restaurant wants to differentiate from its competitors, make some updates, and improve customer experience. V-Soft Digital installed an AI-infused computer vision system to the restaurant to extract insights from camera feeds.
The AI-powered system provides insights on customers, which can help staff serve them better. It detects and improves factors such as wait times for customers to be seated, and wait times for food to be delivered.
V-Soft’s AI-powered computer vision analytics solution helps the restaurant significantly reduce wait times by 50 percent. This also reduced the food delivery time by 20 percent, which eventually improved overall customer satisfaction and retention.
How Computer Vision Analytics Helps Business
Computer vision uses different applications to provide analytics by identifying patterns and help businesses. Computer vision systems uses applications like facial recognition and action recognition to identify actions or gestures of customer by studying their moods and sentiments in the image. On the basis of this study, computer vision can forecast the reaction of customers for new situations.
This helps the businesses understand their customers, provide them with better services and gain their trust through customer satisfaction.
Technologies Applied
- Internet of Things (IoT)
- Computer Vision
- TensorFlow
- DVR Tool
- S3 Buckets
- AWS Kinesis
- AWS SageMaker
- AWS GroundTruth
V-Soft is helping businesses every day. If you’re interested in learning more about AI-powered computer vision solutions and understand how our team at V-Soft Digital can make it possible for your business.