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.

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

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.

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

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