
Envelope is a retail technology company that utilizes computer vision and machine learning through its enRetail platform to automate shelf tracking, auditing, and reporting. The platform aims to improve on-shelf availability (OSA), leading to increased revenue (up to 4%), enhanced employee productivity (over 20%), and higher customer satisfaction. enRetail provides real-time shelf overviews, restocking alerts, and insights into staffing needs by monitoring product availability and replenishment rates. The business model involves a monthly/yearly fee based on the number of SKUs tracked. The company emphasizes instant integration, fast ROI, and data security, with a commitment to retail-oriented innovation. They are GDPR compliant and blur any personal identifiable information from cameras before processing. Envelope also highlights strategic advisors like Thomas Bagge Olesen, former CEO of Coop Denmark.

Envelope is a retail technology company that utilizes computer vision and machine learning through its enRetail platform to automate shelf tracking, auditing, and reporting. The platform aims to improve on-shelf availability (OSA), leading to increased revenue (up to 4%), enhanced employee productivity (over 20%), and higher customer satisfaction. enRetail provides real-time shelf overviews, restocking alerts, and insights into staffing needs by monitoring product availability and replenishment rates. The business model involves a monthly/yearly fee based on the number of SKUs tracked. The company emphasizes instant integration, fast ROI, and data security, with a commitment to retail-oriented innovation. They are GDPR compliant and blur any personal identifiable information from cameras before processing. Envelope also highlights strategic advisors like Thomas Bagge Olesen, former CEO of Coop Denmark.
Headquarters: Tallinn, Estonia
Product: enRetail — computer-vision SaaS for on-shelf availability (OSA) using existing store cameras
Customer outcomes: Reported up to ~4% revenue lift and ~20% employee productivity boost
Team size (reported): 6 employees
Funding (reported): USD 510,000 (last funding date 2022-08-01)
Retail operations — out-of-stock detection, shelf monitoring, and store productivity
Retail technology
510000.00