Opendata, web and dolomites


Optimizing Retail Operation With Real-Time Customer Activity Intelligence

Total Cost €


EC-Contrib. €






 SENSEI project word cloud

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

lost    business    merge    run    appetite    decisions    optimize    total    retailers    grocery    revenue    customer    stores    smart    visitor    fill    founders    larger    footprints    small    missing    don    destined    involve    detect    share    gap    inventory    space    series    analytics    gives    invest    believe    companies    certainty    definitely    apparel    placement    retail    price    projections    understaffing    chains    wrong    brick    market    optimizing    precise    knowing    proactive    computer    sales    interacting    frame    data    community    exactly    lab    gather    understand    agility    scalable    projected    89    spot    infrastructures    sustainable    statistics    centric    time    standardized    sensors    blind    sensei    volume    maximize    pilot    intelligence    meet    strategies    managers    view    store    generate    stocking    clear    heavily    people    buy    vision    multiple    citizens    mortar    creates    cities    create    behaviors    fashion    informed   

Project "SENSEI" data sheet

The following table provides information about the project.


Organization address
postcode: 6000 767
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
 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 2018
 Duration (year-month-day) from 2018-02-01   to  2018-07-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 Project objective

Brick and mortar stores still generate 89% of the total volume of sales in Europe. Not knowing lost sales statistics creates a major blind spot. Not knowing lost sales statistics might lead to over/understaffing stores, stocking the wrong inventory and missing opportunities due to price or product placement. There is a clear need for lost sales based business intelligence that gives store managers the agility to optimize resources and maximize sales. They need lost sales and sales information to detect trends early and be proactive. Our technology SENSEI enables retailers to gather lost sales data and merge it with their sales data by using every store as a customer research lab, allowing the development of effective customer-centric strategies. SENSEI is built on 1) computer vision, 2) sensors and 3) in-store devices, and is able to provide precise information about how each visitor is interacting with the store space even if they don’t buy. We have identified our target market as the fashion and apparel retail chains, where store footprints are small (when compared with grocery), highly scalable due to multiple heavily standardized stores, and with a strong need and appetite to invest in data analytics and business intelligence. Smart cities involve optimizing information technology to better understand our infrastructures and the behaviors of people and to be able to make informed decisions that meet the needs of citizens, institutions, and companies with a view to the community and sustainable development. SENSEI does exactly that for stores. In the long run, our technology will definitely contribute to Smart Cities on a larger scale. The founders’ vision when creating SENSEI was to fill a gap in the market and that is destined to create real smart stores. They believe with high certainty that both market share and revenue projections will be achieved within the projected time frame. We are already using SENSEI with a series of pilot users.

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

Starcounter (2017)

In-Memory Computing and Artificial Intelligence Platform for Building Next Generation Enterprise Software

Read More  

oWBI (2018)

Osmotic Wearable Bolus Injector (oWBI) for viscous drug delivery

Read More  

Meshporto_smeIns1_2 (2018)

PsstMenu allows customers to place orders directly from home or restaurant tables using only a smartphone.

Read More