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SOPaaS

Smart Ordering Plan as a Service

Total Cost €

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EC-Contrib. €

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Partnership

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 SOPaaS project word cloud

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

sometimes    software    causes    frequent    millions    capturing    shipments    theoretical    storage    trade    algorithms    industrial    lots    stage    limited    right    forces    saved    certain    planning    service    purchasing    impose    solution    pay    dimensions    sopaas    suppliers    sustainability    quantity    life    minimises    operations    savings    summary    upfront    simplifying    answers    lays    myriad    partial    times    euros    saas    proposition    reduces    inventory    supply    genlots    prefer    machine    proprietary    space    bad    thanks    considering    obtaining    discounts    optimisations    amortisation    responsibility    area    solves    chain    quantities    clients    grey    learning    longstanding    guarantees    considerations    world    time    knowing    question    material    optimally    shelf    total    unlocks    scm    op    plan    10    quality    solutions    raw    untapped    amounts    eco    ignore    translates    minimal    elaboration    fees    willingness    fair   

Project "SOPaaS" data sheet

The following table provides information about the project.

Coordinator
GENLOTS SA 

Organization address
address: GRAND RUE 5
city: CHEXBRES
postcode: 1071
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 Switzerland [CH]
 Project website https://www.genlots.com/
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.3. (PRIORITY 'Societal challenges)
2. H2020-EU.2.3. (INDUSTRIAL LEADERSHIP - Innovation In SMEs)
3. H2020-EU.2.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies)
 Code Call H2020-SMEInst-2018-2020-1
 Funding Scheme SME-1
 Starting year 2018
 Duration (year-month-day) from 2018-06-01   to  2018-09-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    GENLOTS SA CH (CHEXBRES) coordinator 50˙000.00

Map

Leaflet | Map data © OpenStreetMap contributors, CC-BY-SA, Imagery © Mapbox

 Project objective

Knowing how much to order and when is a longstanding industrial problem called order planning. The 2 main approaches are: 1. Upfront ordering. Allows capturing quantity discounts and simplifying operations, but causes high inventory costs (e.g. space, amortisation). 2. Just-in-time ordering. Minimises inventory costs, but requires a higher quality control, increases order fees and reduces discounts on quantities. However, the right solution lays in the grey area in-between. Sometimes part of the inventory might go bad after a certain time and forces frequent ordering, storage space might be limited, suppliers might impose minimal order amounts, may be some material has long lead times. In summary, a myriad of real-world considerations that current solutions ignore, achieving only partial optimisations. GenLots’ SOPaaS is a Software-as-a-Service (SaaS) solution that untapped savings in the ordering plan (OP) elaboration stage of Supply Chain Management (SCM) process thanks to our machine learning based algorithms. In short, SOPaaS optimally answers the question: “When do I need to order and how much raw material?” Our proprietary machine-learning algorithms unlocks untapped savings of 5-10% of total purchasing cost on average. This translates in millions of euros saved for our clients, a unique value proposition that guarantees their willingness to pay. SOPaaS solves the theoretical problem of obtaining the ordering plan, while also considering real-world factors in various dimensions, e.g. cost (e.g. lots’ shelf life, associated storage cost), sustainability (e.g. prefer eco-friendly shipments) or responsibility (e.g. fair trade considerations) among others.

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

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