Image learning to create a new online marketing tool

Información del proyecto

ShopStar

Identificador del acuerdo de subvención: 712281

DOI

10.3030/712281

Proyecto cerrado

Fecha de la firma de la CE 25 Noviembre 2015

Fecha de inicio 1 Diciembre 2015

Fecha de finalización 31 Mayo 2016

Financiado con arreglo a

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)

Coste total

€ 71 429,00

Aportación de la UE

€ 50 000,00

Coordinado por

SHOPEDIA
France

Periodic Reporting for period 1 - ShopStar (Image learning to create a new online marketing tool)

Período documentado: 2015-12-01 hasta 2016-05-31

Resumen del contexto y de los objetivos generales del proyecto

The aim of our project was to investigate the ways in which we could apply our innovative “Image Intelligence” technology to create new business models in the advertising and media industries. Our technology can effectively “see” clothes in the same way as the human eye – recognising if there is a person in picture or not, what this person is wearing and which products are displayed.

Our initial business model was based on giving media the opportunity to transform their websites into a marketplace – by recognising clothes in the images on their webpages and allowing users to follow a link to purchase the same or similar items.

Our Phase 1 objectives therefore included investigating the full potential of our unique technological developments and needs of our target client bases – with the aim of developing a more complete commercial solution that would position Shopedia as a highly competitive and disruptive player in the advertising industry.

Trabajo realizado desde el comienzo del proyecto hasta el final del período abarcado por el informe y los principales resultados hasta la fecha

Our project included a complete investigation into the potential of our technology, including the technology choices for the envisaged features, the development of a database capable of training our algorithm to treat increasingly complex images and the identification of clear performance goals.

We also developed a clear roadmap with our overall commercial vision and the elements of our technology that can be rapidly commercialized and begin contributing to this ambition.
Subsequently, we were able to test our new business models via several POCs (proofs of concept) carried out with two major brands.

Our Phase 1 Feasibility Study therefore proved to be a turning point in the development of our business activities, allowing us to develop and validate a cohesive technical & commercial vision.

Avances que van más allá del estado de la técnica e impacto potencial esperado (incluida la repercusión socioeconómica y las implicaciones sociales más amplias del proyecto hasta la fecha)

The technology feasibility work carried out clearly showed that we are developing a unique technological solution in our field, with the potential to be highly competitive and difficult to replicate.

The results of our commercial feasibility work and our successful POCs have shown that we have the potential to disrupt our target markets. For media, we can create innovative new revenue streams. For brands, we can offer services that allow them to track the impact & diffusion of their online images across the web, and offer innovative mobile apps that use our technology to provide for “visual” search engine features.

We are now focusing on finalizing and accelerating the commercial deployment of our solutions.

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