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Artificial Intelligence Powered Fashion Insights and Personal Styling Solutions

Project description

Artificial Intelligence offers valuable fashion assistance

The role data analytics is playing in the fashion market is on the rise. Online shopping, as well as the need for reliable information, has stitched a new era in the fashion industry. Fashion retailers need to be informed about trends in the market in real-time. Data analysis facilitates personalisation of products based on specific social tendencies. The UK’s Radius Tech created the Radius Recommendation Engine (RRE), an advanced technology solution that informs fashion retailors in real-time about market demands. Radius Tech research reveal that the fashion market is in permanent expansion worldwide. The EU-funded RDS project aims to complete RRE validation, which will help fashion traders to effectively anticipate and meet market demands.

Objective

Radius is a London based fashion technology start-up that has developed the Google Analytics of Fashion Trends.

Radius Tech curates real-time insights on the most commercially viable fashion products and trends worldwide. These data analysis and styling recommendation insights help fashion retailers to personalize their product offerings based on consumer’s demographics, lifestyle and fashion style preferences. Radius solutions align with the recent fashion market dynamics that urged retailers to offer a zero-friction shopping experience.

Last year experiencing very low conversion rates, 60% of the fashion retailers had cost-reduction in product assortment and increased their spending in e-commerce & customer experience and focused on new technologies to enable a smooth and speedy transition from inspiration to acquisition.

There are 37,925 fashion retailers in the United Kingdom alone. Our market research shows that this new increased spending in e-commerce and customer experience has created a €2.54 trillion Total Addressable Market (TAM) globally. In this vast market, Radius is leading the 3rd phase of tech-enabled fashion shopping service providers. Our strength and competitive edge come from the excellence of Radius Tech, unique value propositions and our team’s aggregate experience of 40 years in start-up, AI & computer vision technology and fashion as well as marketing domains.

The scope of this project is to finalize the validation of Radius Recommendation Engine that uses curated fashion insights from Radius Tech to automate personalization and evidence based decision-making for fashion retailers.

Fields of science (EuroSciVoc)

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Programme(s)

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Topic(s)

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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

SME-1 - SME instrument phase 1

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-EIC-SMEInst-2018-2020

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Coordinator

RADIUS TECH FASHION SERVICES LTD
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 50 000,00
Address
KEMPHOUSE 142-150 CITY ROAD
E1V 2NX London
United Kingdom

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
London Inner London — West Camden and City of London
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 71 429,00
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