by Sergi Sergiev | Sep 16, 2020 | Blog
Who is Michael Katz? He was a founder and CEO of interclick, which took it public in 2009 and sold to Yahoo in 2011 for $270M. Also co-founder and CEO of mParticle, the leading customer data platform helping the worlds best brands unify data across all consumer touch points to optimize marketing outcomes and CX. MParticle strted in 2013 is a customer data platform for brands to accelerate growth. It improves marketing, advertising, and analytics by connecting data seamlessly across channels. We have a pleasure to ask several questions about latest trends in CDP and what is the future for such technologies to Michael Katz. Here is the script of the interview. Can you tell us something about you, your background, expertise and of course your passion? MK: born outside of Boston, been living in NYC for about 15 years and consider it to be home. Im currently the ceo and one of the cofounders...
by Sergi Sergiev | Jul 29, 2020 | Blog
1. Definition A CDP (Customer Data Platform) is a marketing platform that combines customer data from any source and create unified customer profiles (Golden Records), model behavior, and share that data with any source that needs it. 2. Benefits 1. Combine all data sources into one repository Each digital business uses various channels like emails, CRMs, mobile apps, web sites, scraped data and it takes ages to consolidate them. We use smart interfaces and deliver the results within a day without developers involvement. 2. Having a Single View of Your Customers Single Customer View is the main ingredient for leveraging the customer experience by monitoring all customer interaction in one place and being able to go deeper by applying Data Science and Machine Learning. 3. Personalize Customer Interactions Each customer has its preferences, interests and patterns, based on Catwing AI we are able to segment them based on their behaviour and create various personas, which can be targeted via...
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...
