Launched "Fitting Room Recommend" which is linked with KARTE, a CX (customer experience) platform provided by Plaid Inc. 

Launched "Fitting Room Recommend" which is linked with KARTE, a CX (customer experience) platform provided by Plaid Inc. 

Launched "Fitting Room Recommend" which is linked with KARTE, a CX (customer experience) platform provided by Plaid Inc. 

Virtusize Fitting Room Recommendation customizes the best communication for each individual user and delivers messages based on purchasing behavior and physical information.


Virtusize, a fashion big data company, has officially announced their new service, “Fitting Room Recommend” on April 25, 2022. (CEO Andreas Ueno-Olausson, Head Office: Minato-ku). The service can be linked with KARTE, a CX (customer experience) platform provided by Plaid Inc. 

This enables highly accurate personalization based on first-party data analyzed in real time by KARTE.



The Fitting Room Recommend is a service that recommends items that match the user’s physical body shape from the pop-message.  The Fitting Room Recommend will prevent user’s from exiting the site, making it easier for the user to find the items they wish to purchase, improving the overall experience and contributing to sales increase. 


Moreover, by linking the CX platform, “KARTE” to the Virtusize Fitting Room Recommend, the user message can be personalized based on the user’s browser history. 

Commenting on the partnership, Mr. Takayanagi of Plaid Inc. said: 

“The big data provided by Virtusize is extremely valuable to us, we hope to deliver Karte this data to at the right time through Karte to eliminate purchase mistakes and provide a better customer experience.  We look forward working with both companies by eliminating lost sales and deliver the best customer experience.”


Furthermore, Mr. Takahashi, the CRO (Chief Revenue Officer) has said, “Many companies has tried to deliver messages based on user behaviors, browsing, and. Purchase histories on their browsers. We took a step further and added the user’s physical information to deliver more detailed messages and better communication. We are proud of our product, where we stray away from conventional recommendation services. In collaboration with KARTE provided by Plaid, we can support accurate personalized data. 

Virtusize Fitting Room Recommendation customizes the best communication for each individual user and delivers messages based on purchasing behavior and physical information.


Virtusize, a fashion big data company, has officially announced their new service, “Fitting Room Recommend” on April 25, 2022. (CEO Andreas Ueno-Olausson, Head Office: Minato-ku). The service can be linked with KARTE, a CX (customer experience) platform provided by Plaid Inc. 

This enables highly accurate personalization based on first-party data analyzed in real time by KARTE.



The Fitting Room Recommend is a service that recommends items that match the user’s physical body shape from the pop-message.  The Fitting Room Recommend will prevent user’s from exiting the site, making it easier for the user to find the items they wish to purchase, improving the overall experience and contributing to sales increase. 


Moreover, by linking the CX platform, “KARTE” to the Virtusize Fitting Room Recommend, the user message can be personalized based on the user’s browser history. 

Commenting on the partnership, Mr. Takayanagi of Plaid Inc. said: 

“The big data provided by Virtusize is extremely valuable to us, we hope to deliver Karte this data to at the right time through Karte to eliminate purchase mistakes and provide a better customer experience.  We look forward working with both companies by eliminating lost sales and deliver the best customer experience.”


Furthermore, Mr. Takahashi, the CRO (Chief Revenue Officer) has said, “Many companies has tried to deliver messages based on user behaviors, browsing, and. Purchase histories on their browsers. We took a step further and added the user’s physical information to deliver more detailed messages and better communication. We are proud of our product, where we stray away from conventional recommendation services. In collaboration with KARTE provided by Plaid, we can support accurate personalized data. 

Virtusize Fitting Room Recommendation customizes the best communication for each individual user and delivers messages based on purchasing behavior and physical information.


Virtusize, a fashion big data company, has officially announced their new service, “Fitting Room Recommend” on April 25, 2022. (CEO Andreas Ueno-Olausson, Head Office: Minato-ku). The service can be linked with KARTE, a CX (customer experience) platform provided by Plaid Inc. 

This enables highly accurate personalization based on first-party data analyzed in real time by KARTE.



The Fitting Room Recommend is a service that recommends items that match the user’s physical body shape from the pop-message.  The Fitting Room Recommend will prevent user’s from exiting the site, making it easier for the user to find the items they wish to purchase, improving the overall experience and contributing to sales increase. 


Moreover, by linking the CX platform, “KARTE” to the Virtusize Fitting Room Recommend, the user message can be personalized based on the user’s browser history. 

Commenting on the partnership, Mr. Takayanagi of Plaid Inc. said: 

“The big data provided by Virtusize is extremely valuable to us, we hope to deliver Karte this data to at the right time through Karte to eliminate purchase mistakes and provide a better customer experience.  We look forward working with both companies by eliminating lost sales and deliver the best customer experience.”


Furthermore, Mr. Takahashi, the CRO (Chief Revenue Officer) has said, “Many companies has tried to deliver messages based on user behaviors, browsing, and. Purchase histories on their browsers. We took a step further and added the user’s physical information to deliver more detailed messages and better communication. We are proud of our product, where we stray away from conventional recommendation services. In collaboration with KARTE provided by Plaid, we can support accurate personalized data. 

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Launched "Fitting Room Recommend" which is linked with KARTE, a CX (customer experience) platform provided by Plaid Inc. 

Virtusize Fitting Room Recommendation customizes the best communication for each individual user and delivers messages based on purchasing behavior and physical information.


Virtusize, a fashion big data company, has officially announced their new service, “Fitting Room Recommend” on April 25, 2022. (CEO Andreas Ueno-Olausson, Head Office: Minato-ku). The service can be linked with KARTE, a CX (customer experience) platform provided by Plaid Inc. 

This enables highly accurate personalization based on first-party data analyzed in real time by KARTE.



The Fitting Room Recommend is a service that recommends items that match the user’s physical body shape from the pop-message.  The Fitting Room Recommend will prevent user’s from exiting the site, making it easier for the user to find the items they wish to purchase, improving the overall experience and contributing to sales increase. 


Moreover, by linking the CX platform, “KARTE” to the Virtusize Fitting Room Recommend, the user message can be personalized based on the user’s browser history. 

Commenting on the partnership, Mr. Takayanagi of Plaid Inc. said: 

“The big data provided by Virtusize is extremely valuable to us, we hope to deliver Karte this data to at the right time through Karte to eliminate purchase mistakes and provide a better customer experience.  We look forward working with both companies by eliminating lost sales and deliver the best customer experience.”


Furthermore, Mr. Takahashi, the CRO (Chief Revenue Officer) has said, “Many companies has tried to deliver messages based on user behaviors, browsing, and. Purchase histories on their browsers. We took a step further and added the user’s physical information to deliver more detailed messages and better communication. We are proud of our product, where we stray away from conventional recommendation services. In collaboration with KARTE provided by Plaid, we can support accurate personalized data. 

Virtusize Fitting Room Recommendation customizes the best communication for each individual user and delivers messages based on purchasing behavior and physical information.


Virtusize, a fashion big data company, has officially announced their new service, “Fitting Room Recommend” on April 25, 2022. (CEO Andreas Ueno-Olausson, Head Office: Minato-ku). The service can be linked with KARTE, a CX (customer experience) platform provided by Plaid Inc. 

This enables highly accurate personalization based on first-party data analyzed in real time by KARTE.



The Fitting Room Recommend is a service that recommends items that match the user’s physical body shape from the pop-message.  The Fitting Room Recommend will prevent user’s from exiting the site, making it easier for the user to find the items they wish to purchase, improving the overall experience and contributing to sales increase. 


Moreover, by linking the CX platform, “KARTE” to the Virtusize Fitting Room Recommend, the user message can be personalized based on the user’s browser history. 

Commenting on the partnership, Mr. Takayanagi of Plaid Inc. said: 

“The big data provided by Virtusize is extremely valuable to us, we hope to deliver Karte this data to at the right time through Karte to eliminate purchase mistakes and provide a better customer experience.  We look forward working with both companies by eliminating lost sales and deliver the best customer experience.”


Furthermore, Mr. Takahashi, the CRO (Chief Revenue Officer) has said, “Many companies has tried to deliver messages based on user behaviors, browsing, and. Purchase histories on their browsers. We took a step further and added the user’s physical information to deliver more detailed messages and better communication. We are proud of our product, where we stray away from conventional recommendation services. In collaboration with KARTE provided by Plaid, we can support accurate personalized data. 

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