Image learning to create a new online marketing tool

Project Information

ShopStar

Grant agreement ID: 712281

DOI

10.3030/712281

Project closed

EC signature date 25 November 2015

Start date 1 December 2015

End date 31 May 2016

Funded under

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

Total cost

€ 71 429,00

EU contribution

€ 50 000,00

Coordinated by

SHOPEDIA
France

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

Reporting period: 2015-12-01 to 2016-05-31

Summary of the context and overall objectives of the project

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.

Work performed from the beginning of the project to the end of the period covered by the report and main results achieved so far

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.

Progress beyond the state of the art and expected potential impact (including the socio-economic impact and the wider societal implications of the project so far)

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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