Grow your shop sales
with smartest AI powered
personal shopping assistant.

Our Mission

Deliver to users pleasurable, effortless fashion shopping experience, which leads to sales thanks to personalisation.

What we do

We offer AI solutions for fashion retailers to

Help drive user engagement, increase sales and optimise costs through automation.

Our innovative, state-of-the-art AI solutions include:
intelligent chatbots
visual search engines
personalized user profiling
predictive recommendation engines

How we do it

We help increase sales through the use of personalization to grow engagement thanks to detailed analysis of user preferences (profiling) and innovative methods of capturing user interest (conversational commerce, visual search engine).

We optimise costs through automation, by using AI solutions (auto-tagging).

What do we offer

Custom made solutions designed specifically for the fashion retail industry including:
Pre-designed AI chatbot (“Siri for fashion”) focusing on aiding user find products
Visual search engine (showing similar products, search through image)
Image recognition solution for auto-taggin
Recommendation engine, connected to outside sourced user profiles (valuable especially for first-time users)

Meet the Team!

Kasia is passionate about building global start-up as team member of top experts in their fields, believing that technology is changing the world for a better place. With years of extensive experience in marketing in The Coca-Cola Company on 9 international markets, currently focusing on changing how fashion and apparel retail is operating online through implementation of Artificial Intelligence and Cloud to deliver better sales results for their apparel retail business partners. Focusing on deep understanding of user needs, preferences, and delivering highly personalized recommendation, her dream is to minimizes time need for shopping, while ensuring engagement and satisfaction of the client, so every shopper can use their time in other, more meaningful areas of life. Supported by Google Campus, global accelerator program Blackbox.vc from Silicon Valley powered by Google for Entrepreneurs, Leadership Academy by Prof. Wójcik, as well as experts and mentors from Google Launchpad program, where is mentoring other global startups in CEE and USA,she is co-creating with the amazing technology experts from Poland, breakthrough technology and company based on people driven culture, trust and delivering results. PhD Student of Management in New Technologies, lecturer of various conferences and programs.
Jakub is University of Bristol graduate where he obtained PhD in Engineering Mathematics. In his over 10 year of experience he worked on various international projects mostly in the R&D realm. On the daily basis he utilizes his analytical and development skill working in data science and engineering projects. His latest project experience revolves around distributed computing and analysis of big data sets, mostly unstructured ones such as natural language and text. He also gain experience in tech project for the digital media and advertisements. He is mostly interested in distributed processing and analysis of big data sets. In addition, Jakub is involved in educational projects as a professional IT trainer and university lecturer at Warsaw University of technology shearing his experience in data science and engineering . Moreover, he is a keen speaker at many conferences and meet-ups like PyData or Confitura to name the latest. In YoshAI, as a Chief Technology Officer, Jakub is responsible for forging all the Artificial Intelligence magic into a useful shape that can be delivered to the clients. He takes care of pragmatic usage, scaling and delivering scientific results to business. Moreover, he is responsible for the technology direction and the team well being.
Lukasz holds a PhD in Computer Science and specializes in machine learning methods in the domain of Natural Language Processing, as well as image recognition. Within his 13 years of experience in Data Science, Artificial Intelligence & Machine Learning, he developed solutions covering scientific projects within the Polish Academy of Sciences and consulted commercial implementations for financial, insurance and IT companies. He was involved in projects concerning corpus linguistics, information extraction, semantic analysis of text and mining visual and geospatial data. In YoshAI, Lukasz, as a Chief Science Officer is responsible for co-developing most innovative solutions within NLP, as well as for visual search engine for the commercial chatbots. Additionally, Lukasz is actively educating and promoting the concepts of Artificial Intelligence by organizing data science bootcamps and commercial training courses. He is also a conference organizer and speaker, at both scientific (such as PAKDD) and business-oriented conferences (such as PyData). He works towards narrowing the gap between business and academia by cooperating with universities and is a program committee member of university post-graduate studies at Warsaw University of Technology and Kozminski University in the area of big data processing and data-driven management.
Agnieszka has a black belt in linguistic analysis for computational purposes. She has co-designed both machine learning- and rule-based NLP systems, such as dialogue agents in Spanish, German and English. With a team of UST-experts she adapted a Polish parser to UGC and helped develop semantic-based security solutions of crime detection for the Polish police. Agnieszka started off 6 years ago at Fido.ai, a Silicon Valley-based startup offering an innovative solution for sentiment detection in text. She wrote a thesis on data extraction from legal contracts, spending part of the studies at UC Berkeley and the International Computer Science Institute. She then used her whole NLP-experience in commercial projects at Samsung R&D, working on the original SVoice and later Bixby operating on the VIV-platform. She has recently been collaborating with Microsoft on an advanced text editor for German. At Yosh.ai she is responsible for the chatbot part of the system: dialog scenarios, chatbot design and personality, as well as making sure that users are engaged in the conversation and enjoy the whole shopping experience.
Magdalena is a scientist, finishing her PhD at Jagielloński University, with a machine learning focus. She is in charge of representation learning and data clustering tasks. She is also a speaker at numerous science conferences and IT meetings. At YoshAI, Magdalena, as a Research Scientist is responsible for personalization part of the system and recommendation engine, as well as development of a fashion visual search engine.

Contact Yosh.AI!

The best way to contact us is an email:

hello@yosh.ai

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