Project description
AI-powered chatbot for online grocery shopping
Recently, chatbots became popular in several market sectors. However, online grocery shopping faces challenges related to clients’ convenience because of the large number of items typically purchased and the need to define and review the quantities and weights of the products. Grocerybot is an innovative chatbot powered by artificial intelligence (AI) supporting grocery shopping online. The EU-funded Grocerybot project will develop a business plan for Grocerybot for the commercialisation across the EU Member States, enhancing the growth of online grocery retail in Europe as a whole. Poland is first on the list. The country’s National Centre for Research and Development in Poland is financing the development of the first commercial version of the bot for the Polish market.
Objective
This project will develop a business plan for the commercialisation of Grocerybot – a novel Artificial Intelligence (AI) powered chat bot supporting grocery shopping on-line.
In recent months, the market has witnessed an exponential growth in the popularity of chatbots. This has been triggered by the actions taken by technology giants like Microsoft and Facebook who made it possible to release bots in their messengers such as Facebook Messenger. The market is dynamic and includes a number of still non-occupied niche areas where chatbots can solve unmet needs of business and technological nature. One such niche is on-line grocery shopping.
Grocery shopping online continues to lag behind other domains, mainly due to issues with convenience. Typically, customers shopping for groceries on-line are required to fill their carts by clicking the products and defining the quantities. This process (ubiquitous in e-commerce) is very cumbersome in on-line grocery shopping. This is because of large number of items typically purchased and the need to define and review the quantities and weights of the products.
A chatbot powered by AI technologies featuring machine learning, natural language processing and knowledge engineering could solve those problems by offering adequate customer assistance. However, no such technology has been proposed on the market to date.
Loglab has been created to address this niche. We have a strong proof-of-concept of a grocerybot capable of guiding the user throughout the entire shopping journey online - a human-like assistant while shopping in an online grocery. The innovativeness of this concept has already been acknowledged by The National Centre for Research and Development in Poland which granted Loglab EUR 360K to develop the first commercial version of the bot for the Polish market.
As a part of the Phase 1 project, we will develop a roadmap for scaling this innovation across the EU, powering the growth of online grocery retail in Europe.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences data science natural language processing
- natural sciences computer and information sciences knowledge engineering
- social sciences economics and business business and management commerce e-commerce
- natural sciences computer and information sciences artificial intelligence machine learning
- natural sciences computer and information sciences artificial intelligence computational intelligence
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.2.3. - INDUSTRIAL LEADERSHIP - Innovation In SMEs
MAIN PROGRAMME
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H2020-EU.3. - PRIORITY 'Societal challenges
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H2020-EU.2.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
SME-1 - SME instrument phase 1
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-EIC-SMEInst-2018-2020
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
00871 WARSAW
Poland
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.