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Reinforcement Learning (RL) is a Machine Learning technique that allows a computer agent to devise effective strategies based on experimentation with data to perform a task through trial-and-error interactions with a dynamic environment. In marketing, RL can offer new possibilities to optimise customer acquisition, conversion and loyalty strategies. ML can help tailor the message, channel and timing of communication to the preferences and behaviour of each user, thereby increasing the personalisation and relevance of campaigns.
The SuitsUbest project is an industrial research project that aims to investigate, design and test an RL algorithm in fashion marketing. The aim is to obtain a prototype to validate whether marketing strategies can be optimised, thereby maximising sales.
SuitsUbest is led by Clúster Digital, and co-lead by AIS Group, Simorra, MODACC and FHIOS.
The project is funded by the Ministry ofIndustry, Trade and Tourism through the support programme of Agrupaciones Empresariales Innovadoras.
14 January 2025
Supported by ACCIÓ, Modacc leads this initiative in collaboration with the design school LCI Barcelona, FITEX textile innovation center, the sewing and fashion school Qstura, ESDI School of Design, and Intexter Institute of the Polytechnic University of Catalonia.
30 January 2024
The MODA HUB project seeks to respond to this need by proposing a project to develop a platform for sharing actual data on the evolution of e-commerce in the fashion sector.
30 January 2024
Long Life Textiles is an industrial research project that aims to generate evidence for the design, development, and prototyping of a model to extend the useful life of home textile products, ensuring traceability and transparency throughout their life cycle.
