Audience

Retail stores searching for an automated shelf-stock audit solution

About Shelfie

Automation of menial stock monitoring tasks liberates floor staff to focus on serving customers towards increased average basket sizes. Minimizing stock gaps on shelves improves consumer propensity to purchase. Shelfie cameras can be mounted on top of any standard retail shelf. The cameras take images of retail shelves, and these images are then collected and transferred to the cloud. A cloud-based advanced machine learning and image processing algorithm is used to analyze the shelf images. Once an event is detected the data is sent to the dashboard and mobile app. Detected events are updated automatically to mobile devices informing floor staff to re-stock specific items. A cloud-based advanced machine learning and image processing algorithm is used to analyze the shelf images. Once an event is detected the data is sent to the dashboard and mobile app. Detected events are updated automatically to mobile devices informing floor staff to re-stock specific items.

Integrations

No integrations listed.

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Company Information

Shelfie
Founded: 2016
Australia
shelfieretail.com

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Product Details

Platforms Supported
Cloud
Support
Phone Support
Online

Shelfie Frequently Asked Questions

Q: What kinds of users and organization types does Shelfie work with?
Shelfie works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does Shelfie support in their product?
Shelfie supports these languages: English.
Q: What kind of support options does Shelfie offer?
Shelfie offers support via phone support and online.

Shelfie Product Features