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Shelf.ai

Shelf.ai - Holding back Amazon and Google from the global grocery retail market

Total Cost €

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EC-Contrib. €

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Partnership

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 Shelf.ai project word cloud

Explore the words cloud of the Shelf.ai project. It provides you a very rough idea of what is the project "Shelf.ai" about.

class    environment    disruptive    platforms    ranges    details    see    demonstrated    players    coolest    google    itself    platform    expecting    notwithstanding    2017    direct    penetration    euroshop    shopping    online    preferences    brings    payment    wave    saying    login    works    home    market    turnover    grocery    omni    cart    segment    customer    alexa    easiest    global    positions    fastest    messenger    primarily    select    learning    retail    time    giant    plan    algorithms    proceeding    brick    world    customers    retailers    integration    45    delivering    artificial    fight    quantities    employs    smartphones    full    successful    oriented    90    hardware    gathering    million    food    purchase    ones    edge    fast    conversational    alone    company    assure    back    annual    mortar    strategies    agnostic    amazon    prefer    check    filling    facebook    immediately    ai    shelf    cutting    sales    commerce    solutions    intelligence    xarevision    tested    business    pioneering    channel    enabled    wish    carts   

Project "Shelf.ai" data sheet

The following table provides information about the project.

Coordinator
XAREVISION, SA 

Organization address
address: RUA OLIVEIRA MONTEIRO 80
city: PORTO
postcode: 4050 438
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Portugal [PT]
 Project website http://www.shelf.ai
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
2. H2020-EU.2.3.1. (Mainstreaming SME support, especially through a dedicated instrument)
 Code Call H2020-SMEINST-1-2016-2017
 Funding Scheme SME-1
 Starting year 2017
 Duration (year-month-day) from 2017-08-01   to  2018-01-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    XAREVISION, SA PT (PORTO) coordinator 50˙000.00

Map

 Project objective

Enabled by Xarevision, a company with over 10 years 'experience working on retail-oriented solutions for large players, Shelf.ai is a cutting-edge technology that brings artificial intelligence and conversational commerce capabilities to brick & mortar food retailers, allowing them to foster omni-channel strategies, rapidly increase online sales and pioneering next wave of customer e-shopping experience.

With Shelf.ai, customers can build their shopping carts just by saying the products and quantities they wish to their smartphones, and select the ones they prefer, proceeding immediately to check-out. Through direct integration with the retailers’ back-end systems (including product ranges, customer purchase information and payment platforms), Shelf.ai allows customers to see full details of each product, while employs AI algorithms in order to continuously improve the system by learning about customers’ preferences.

Shelf.ai’s technology allows an overall reduction up to 90% of the time required from login to filling up the online shopping cart, providing the easiest, coolest and fastest online grocery shopping experience ever seen.

Moreover, Shelf.ai positions itself as a hardware-agnostic platform (working through Smartphones, Amazon Alexa, Google Home, Facebook Messenger and others) that allows brick & mortar retailers to fight back the fast and disruptive penetration of giant online platforms (Amazon and Google) in the global grocery retail market. Shelf.ai will focus primarily on world-class food retailers, expecting to reach in these segment alone an annual turnover of Euro 45 Million.

Shelf.ai has been already tested and demonstrated in a relevant environment (namely in Euroshop 2017) delivering highly effective results that have been gathering the attention of some key players. Notwithstanding, there are still works to be done in the short-term, in order to assure a pathway to a successful market uptake, namely the set-up of a detailed Business Plan.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "SHELF.AI" project.

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The information about "SHELF.AI" are provided by the European Opendata Portal: CORDIS opendata.

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