by Sergi Sergiev | May 2, 2020 | Blog
“Every Data scientist soon or later is challenged by flask 🙂” Sergi Sergiev loves to say. Many of us data scientists are doing various models with exposure to different segments like Retail, Ecommerce, Finance, Gaming industry or many other, but we all want to see our models live in production and normally there is a need to deal with developers. Our work as a consultant is to define(finalize) the task, dive deeper, explore and clean the data, redefine the requirements, speak with the domain experts and then start making or using AI magic with our tools. We can produce different models for prediction, forecasting, item recommendations, object detection or many others, but we don’t really know how to deploy it in production. Therefore we decided at Shopup to show you how to setup your first ready to deploy model by yourself without the support of developers or devops. It is so easy to create your API interface which can...
by Sergi Sergiev | Apr 13, 2020 | Blog
The time has come to announce that after more than a year and a half of research and tests we finally have a proof of concept to launch our new product – Sens.ai – with the main focus on Retail. Sens.ai provides insights and analytics on the customers’ and employees’ behaviour in physical stores with high precision and reasonable pricing. The product is based on the latest technologies and innovation in IoT, Robotics and AI. It is a great example of how math and technology can be combined in order to obtain top class quality solutions with limited data in the niche of hypermarkets. Background information The project started in the summer of 2018. We were contacted by a leading retail consultant working with one of the largest retail chains in Bulgaria about a very specific task. The scope was to measure and analyse the customers’ behavior after layout change in one of their hypermarkets and to optimize store’s...
by Sergi Sergiev | Mar 30, 2020 | Blog
Why SuperSet?  Superset is a data exploration platform designed to be visual, intuitive and interactive, the main objective is to slice, dice and visualize data easily. It is open-source BI platform which can be deployed on every virtual server with no usage costs. Some of the main advantages are: it is maintained by Apache foundation and supported by AirBnB Many visualization and ability to edit the code Support geolocations and uses mapbox Able to cache data for dashboards visualizations Admin panel available with very detailed settings Able to access many SQL and NoSQL databases Easy and friendly user interface According to GitHub repo, Superset is currently being used by Airbnb, Twitter, GfK Data Lab, Yahoo!, Udemy and many others. We at ShopUp decided to give a try of that great platform and noticed that as products driven by the community, sometimes there is missing documentation. We have met some difficulties in setting up the platform on EC2...
by Sergi Sergiev | Aug 14, 2019 | Blog
 A Retail Case study about implementing recommender systems developed during the Summer School of Research Methods In summer 2019, some of the ShopUp team took part in the Summer School of Research Methods. The 7-day event was organized by several members of Data Science Society and academia representative from Sofia University, UNWE and Technical University Sofia. There were more than 10 lecturers and about 30 participants from different companies, organizations and universities. Among them were experts, researchers, PhD candidates and masters students. Each day the program started with presentations or workshops followed by allocated time for a Capstone project (a project which aims to capture what we’ve learnt). The workshops combined practice and theory in the area of maths, statistics, neural network, reinforcement learning and etc. The Capstone project was mandatory for each participant and there were three different cases to select from. We at ShopUp decided to open-source this project work and share it with the community. The code we created is...
