Opendata, web and dolomites
  1. home
  2. trasparenza
  3. open h2020
  4. shelf.ai

Shelf.ai

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

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0
 Outcomes and results

 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.

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

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.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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

More projects from the same programme (H2020-EU.2.1.1.;H2020-EU.2.3.1.)

HYBCOPTER (2016)

Hybrid multi copter with 6 times more flight time.

Read More  

REALM (2015)

A disruptive method to free physicians from Hospital Information Systems by generating fault free patient diagnostic documents in real-time using natural language

Read More  

Assist (2015)

Telocate ASSIST – Development and marketing of an acoustic solution for localization and navigation of people in buildings using the smartphone

Read More