We work both with the world's largest brands and with small local challengers seeking a competitive advantage. We respect the unique needs of each client and strive to become a long-term partner in in-store execution improvement.
Most of our customers receive at least 10x return on investment (ROI) after implementing Eyrene. Both the top- and bottom-line are improved. The ROI comes from objective and adequate field staff compensation based on actual in-store KPIs, visit time reduction, and increase in sales due to better shelf presence.
Increase in sales due to more efficiency on all levels.
Reduced audit time compared to manual shelf audit.
Lower overall costs compared to other leading image recognition solutions for retail.
Lower costs of shelf restocking, no human mistakes, reduced empty spaces (OOS).
Fully operational system compared to several months, which is considered an industry standard.
Our clients value the accuracy and speed of image recognition, scalability, and fast and transparent project implementation.
"The advantages of Eyrene are the rapid transition from the testing on dozens and several hundred users to a much larger number, as well as the speed of feedback from the neural network."
"The project is rolled-out for more than 29k retail outlets, the entire portfolio of key product categories of Nestlé. The SKU recognition accuracy is more than 95%, maximum transparency is ensured at all stages of the process."
"We would like to confirm that Eyrene provides quick, professional, and fair results based on Image Recognition. The main task we’ve been targeting to fulfill is to get accurate location-based insights on the SKU representation."
Average image recognition time on a modern budget smartphone, e.g. Samsung A30 or iPhone SE 2.
Product recognition accuracy at the SKU level, including correct category, brand, taste, size, etc. classification. Proven by daily accuracy checks and reported on a powerful accuracy dashboard.
Reading both "dollars" and "cents" from price tags, printed and hand-written, in the range of $0.01 to $100,000.00. Proven by daily accuracy checks and reported on a powerful accuracy dashboard.
Proven throughput of a single project.
Proven by automatic status dashboard shipped with every project.
On Android and iOS, according to Google Crashlytics.
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