Emilia Vision uses existing security cameras and POS data to generate AI-driven performance analytics for restaurants. The platform identifies missed upsell opportunities, service delays, and staff training gaps to recover 20‑40% of lost profit. Clients receive real‑time dashboards and detailed reports to optimize customer experience and operational efficiency.
Funding
Funding not disclosed
Founders
Product
Problem
Restaurant service staff often lack consistent training, leading to inefficiencies in service delivery and missed opportunities to upsell, ultimately impacting customer experience and revenue. Traditional training methods are time-consuming and difficult to scale, while monitoring service quality across multiple locations presents a significant challenge.
Solution
Emilia offers an AI-powered vision system that provides real-time audio cues and performance analytics to enhance restaurant service staff training and on-the-job performance. Using strategically placed cameras, the system analyzes server-guest interactions and provides immediate feedback to servers via discreet audio prompts, guiding them through optimal service protocols and upselling opportunities. The platform also generates detailed reports on service metrics, enabling managers to identify areas for improvement and optimize staff performance across locations. By augmenting human capabilities with AI, Emilia aims to improve service consistency, increase sales, and elevate the overall customer experience.
Target Audience
Emilia primarily targets full-service casual restaurant chains seeking to improve staff training, enhance service quality, and increase sales through AI-driven augmentation.
Features
- Real-time audio cues delivered to servers based on visual analysis of table interactions
- AI-driven identification of upselling opportunities, such as dessert or drink suggestions based on guest count and timing
- Automated monitoring of key service steps to ensure consistent execution
- Detailed analytics dashboard providing insights into service performance, including areas for improvement and individual server metrics
- Customizable alerts for off-track guest experiences, enabling proactive intervention
- Scalable platform suitable for multi-location restaurant chains