Trax Technology Solutions Pte Ltd.

Trax Technololgy Solutions Pte Ltd.

David M Gottlieb

Yair Adato

Alon Grubshtein

Youval Bronicki

Ziv Mhabary

Dolev Pomeranz

Daniel Shimon Cohen

Itai Lishner

Aviv Eisenschtat

Yotam Michael

Nir Hemed

Yonatan Adar

Osnat Yanushevsky

Galit Peled

Maria Kushnir

Dror Yashpe

Shlomi Dayan

Paul Yudkin

Yohai Devir

A system for automatically addressing detected conditions within the retail store is provided. The system may include at least one processor configured to receive a plurality of images depicting a plurality of products displayed on a plurality of store shelves; retrieve reference data specifying a desired state of the retail store; use the reference data to detect an indicator of a first service-improvement condition; use the reference data to detect an indicator of a second service-improvement; determine a first product-related task for addressing the first service-improvement condition; determine a second product-related task for addressing the second service-improvement condition; access a database storing information indicative of a first employee and a second employee on duty during a time interval over which the plurality of images was received; and assign the first product-related task to the first employee and assign the second product-related task to the second employee.

Prioritizing shelf-oriented tasks

A system for identifying products and tracking inventory in a retail store based on analysis of image data is provided. The system may comprise at least one processor configured to receive image data from a plurality of image sensors mounted in a retail store; analyze the image data to estimate a current inventory of at least one product type in the retail store; receive product supply information associated with the at least one product type in the retail store; determine that an online order from a virtual store made during a first time period will be fulfilled by an employee of the retail store during a second time period; determine a predicted inventory of the at least one product type during the second time period; and provide information to the virtual store regarding the predicted inventory of the at least one product type during the second time period.

Updating online store inventory based on physical store inventory

The present disclosure relates to systems and methods for identifying products in retail stores based on analysis of image data and for automatically generating performance indicators relating to the identified products. In one implementation, the system may include a processor configured to receive a first set of images depicting a first plurality of products associated with single product type displayed on a first shelving unit in a retail store; analyze the first set of images to determine first product turnover data associated with the first shelving unit; receive a second set of images depicting a second plurality of products also associated with the single product type displayed on a second shelving unit in the retail store nonadjacent to the first shelving unit; and analyze the second set of images to determine second product turnover data associated with the second shelving unit.

Monitoring a display and shelf of the same product type

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Denver, CO, United States of America

David M Gottlieb