Q3678809 (Q3678809): Difference between revisions
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(Created claim: summary (P836): The project consists of the implementation of a big data solution that automatically detects the emotion of emails to better understand, prioritise and respond to emails and customer content of large groups. Large companies can receive millions of emails per month from their customers. The processing of emails (so-called entrants) therefore generates thousands of hours of work for agents connected with customers. Q°emotion, a startup based in th...) |
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The project consists of the implementation of a big data solution that automatically detects the emotion of emails to better understand, prioritise and respond to emails and customer content of large groups. Large companies can receive millions of emails per month from their customers. The processing of emails (so-called entrants) therefore generates thousands of hours of work for agents connected with customers. Q°emotion, a startup based in the Technopole de l’Aube en Champagne, wants to facilitate the daily work of agents by offering help with the emotional reading of customer emails in order to help better understand messages and speed up their processing. Q°emotion has developed a cloud platform to improve the customer experience centered around an emotional feedback and social media analytics system. Today, our clients (Region Bretagne, Corsair, Publicis, Louis Vuitton, Carlson WagonLit Travel, Crédit Agricole Normandie, the Heineken Experience Museum) use Q°emotion to analyse verbatim and comments, find emotional insights and initiate actions to improve the daily experience of their customers or users. Q°emotion would now like to extend the emotional analysis to so-called incoming emails (emails from customers). (English) | |||||||||||||||
| Property / summary: The project consists of the implementation of a big data solution that automatically detects the emotion of emails to better understand, prioritise and respond to emails and customer content of large groups. Large companies can receive millions of emails per month from their customers. The processing of emails (so-called entrants) therefore generates thousands of hours of work for agents connected with customers. Q°emotion, a startup based in the Technopole de l’Aube en Champagne, wants to facilitate the daily work of agents by offering help with the emotional reading of customer emails in order to help better understand messages and speed up their processing. Q°emotion has developed a cloud platform to improve the customer experience centered around an emotional feedback and social media analytics system. Today, our clients (Region Bretagne, Corsair, Publicis, Louis Vuitton, Carlson WagonLit Travel, Crédit Agricole Normandie, the Heineken Experience Museum) use Q°emotion to analyse verbatim and comments, find emotional insights and initiate actions to improve the daily experience of their customers or users. Q°emotion would now like to extend the emotional analysis to so-called incoming emails (emails from customers). (English) / rank | |||||||||||||||
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| Property / summary: The project consists of the implementation of a big data solution that automatically detects the emotion of emails to better understand, prioritise and respond to emails and customer content of large groups. Large companies can receive millions of emails per month from their customers. The processing of emails (so-called entrants) therefore generates thousands of hours of work for agents connected with customers. Q°emotion, a startup based in the Technopole de l’Aube en Champagne, wants to facilitate the daily work of agents by offering help with the emotional reading of customer emails in order to help better understand messages and speed up their processing. Q°emotion has developed a cloud platform to improve the customer experience centered around an emotional feedback and social media analytics system. Today, our clients (Region Bretagne, Corsair, Publicis, Louis Vuitton, Carlson WagonLit Travel, Crédit Agricole Normandie, the Heineken Experience Museum) use Q°emotion to analyse verbatim and comments, find emotional insights and initiate actions to improve the daily experience of their customers or users. Q°emotion would now like to extend the emotional analysis to so-called incoming emails (emails from customers). (English) / qualifier | |||||||||||||||
point in time: 18 November 2021
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Revision as of 16:39, 18 November 2021
Project Q3678809 in France
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | No label defined |
Project Q3678809 in France |
Statements
138,763.2 Euro
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462,544.0 Euro
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30.0 percent
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30 April 2018
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31 July 2020
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QEMOTION FRANCE SAS
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48°15'46.30"N, 4°4'0.91"E
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10430
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Le projet consiste à la mise en place d'une solution big data qui détecte automatiquement l'émotion des emails pour mieux comprendre, prioriser et répondre aux emails et des contenus clients des grands groupes. Les grandes entreprises peuvent recevoir des millions d'emails par mois de la part de leurs clients. Le traitement des emails (dit entrants) génère donc des milliers d'heures de travail pour les agents en lien avec les clients. Q°emotion, une startup implantée à la technopole de l'Aube en Champagne, souhaite faciliter le travail quotidien des agents en offrant une aide à la lecture émotionnelle des e-mails clients afin d'aider à mieux comprendre les messages et d'accélérer leur traitement. Q°emotion a développé une plateforme cloud permettant d'améliorer l'expérience client centrée autour d'un système d'analyse émotionnelle des feedbacks et des réseaux sociaux. Aujourd'hui, nos clients (Région Bretagne, Corsair, Publicis, Louis Vuitton, Carlson WagonLit Travel, le Crédit Agricole Normandie, le musée Heineken Experience) utilisent ainsi Q°emotion pour analyser les verbatim et les commentaires, trouver des insights émotionnels et lancer des actions pour améliorer l'expérience quotidienne de leurs clients ou usagers. Q°emotion souhaiterait désormais étendre l'analyse émotionnelle aux emails dits entrants (emails provenant des clients). (French)
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The project consists of the implementation of a big data solution that automatically detects the emotion of emails to better understand, prioritise and respond to emails and customer content of large groups. Large companies can receive millions of emails per month from their customers. The processing of emails (so-called entrants) therefore generates thousands of hours of work for agents connected with customers. Q°emotion, a startup based in the Technopole de l’Aube en Champagne, wants to facilitate the daily work of agents by offering help with the emotional reading of customer emails in order to help better understand messages and speed up their processing. Q°emotion has developed a cloud platform to improve the customer experience centered around an emotional feedback and social media analytics system. Today, our clients (Region Bretagne, Corsair, Publicis, Louis Vuitton, Carlson WagonLit Travel, Crédit Agricole Normandie, the Heineken Experience Museum) use Q°emotion to analyse verbatim and comments, find emotional insights and initiate actions to improve the daily experience of their customers or users. Q°emotion would now like to extend the emotional analysis to so-called incoming emails (emails from customers). (English)
18 November 2021
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Identifiers
CA0022377
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