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SentiSquareCX

Financiado

Cerrado

Qualitative Jump in Customer Experience Omnichannel Impact of Distributional Se...

Qualitative Jump in Customer Experience Omnichannel Impact of Distributional Semantics Understanding customer voice is fundamental in building products, services and customer facing processes. Although companies have abundance of data, they still lack insight. According to Gartner, fewer than 10% of companies have a... ver más

30/11/2019

SentiSquare

71K€

Presupuesto del proyecto: 71K€

Líder del proyecto

SENTISQUARE SRO No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 2 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2019-11-30

EIC-SMEInst-2018-2020: SME instrument

I+D

Cerrada hace 5 años

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Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

2 Participantes

SentiSquare

50.00K€ | Lider

ADASA SISTEMAS

475.52K€ | Participante

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Duración del proyecto: 6 meses Fecha Inicio: 2019-05-15
Fecha Fin: 2019-11-30

Líder del proyecto

SENTISQUARE SRO No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 71K€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Understanding customer voice is fundamental in building products, services and customer facing processes. Although companies have abundance of data, they still lack insight. According to Gartner, fewer than 10% of companies have a 360° customer view, and only 5% are able to use it to systemically grow their businesses. The reason is that listening to customers has been difficult and technologies available either arduous to use, non-scalable or providing skewed interpretation of the data collected. To meet the needs of data intensive industries and deliver cost-effective NLP, we offer our AI-based, self-learning solution for any text. It is language agnostic, applicable thus to any language without limitations and even in multi-language datasets. Compared to alternatives, where search content is predefined (pre-tagged), our disruptive technology genuinely reflects the actual meaning of text, not being limited by lexicons or biased by content predefinition. The unique qualitative advantage of our engine stems from our research in Distributional Semantics. This approach enables the vectorial representation of word meaning. Every word is associated with a vector which reflects the contextual (distributional) information across a text dataset. Vectorial representation allows us to quantify the similarity between meanings. On this basis, our algorithms are employed to automatically discover hidden patterns. We realize that most data in organizations is about customer engagement. For this reason, we want to offer the portfolio of products covering the entire multichannel 360° view: providing AI-powered analytics from insights, through inbound communication assistance, to contact center process automation to semantic segmentation. Private and public organizations, with large volumes of daily communication or large base of customers are our main target segments, representing substantial business opportunity across industries and geographies.

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