From clicks to conversions: AI strategies that can transform eCommerce

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In the fast-paced digital landscape, eCommerce is continually evolving. This means businesses must work hard to unlock new avenues for growth and customer engagement.  Amidst this transformative journey, Artificial Intelligence (AI) has emerged as a game-changing force, revolutionizing how online retailers operate and interact with their customers.  From personalized recommendations to real-time pricing optimization, AI …

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Clean, clear, and connected: Explaining Data Deduplication and Entity Resolution

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In today’s data-driven business landscape, effective Master Data Management is key.  The amount of data enterprises generate and collect is growing at unprecedented speed.  Everyone agrees that data can deliver the edge a business needs to be successful.  However, the requirement to be data-driven has pushed many businesses to frantically acquire as much data as …

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How retail businesses can use AI to boost revenue

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Retail organizations worldwide are increasingly seeking to understand how AI is transforming the industry. One thing is for sure – to stay competitive in today’s market, retail businesses must carefully focus on consumers, prioritizing profit and (labor) productivity. This is exactly where Artificial Intelligence (AI) can play a crucial role in supporting various business operations …

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AI in eCommerce: What is it and how does it work?

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Here you are, reading this article – most likely because some AI-powered algorithm made it available for you based on your search and other information it might have on you. I know this sounds a bit scary. And the truth is that, for most people, Artificial Intelligence (AI) and its closely connected sub-term machine learning …

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How AI improves customer loyalty through personalization

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In today’s highly competitive business environment, companies must do everything to build and maintain customer loyalty.  One of the most effective ways to achieve this is through personalization – which leverages customer data and technology to deliver unique, tailored experiences to each customer.  Moreover, Artificial Intelligence (AI) has emerged as the key tool in helping …

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Tailor-Made for Success: From starter-packs to AI-powered Personalization

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In the emerging business need to stay competitive, increase conversion rates, boost loyalty programs and/or improve customer experience during shopping – recommenders have become an integral part of data-driven strategies.  Depending on the end goal, available data and technical resources – there are different types of recommender models that can be of use. The final …

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Personalization Made Easy: A How-To Approach with Customer, Transaction, and Product Data

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Personalization is a critical aspect of any successful retail or e-commerce strategy. By tailoring your messages, offers, and product recommendations to each customer’s unique interests and preferences, you can create a more engaging and meaningful experience that drives loyalty and increases sales. However, personalization is only effective if you have the right data. In this …

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Designing a smarter search box for a website

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Research by renowned analysts is also clear – as many as 43% of web shop visitors first go to “search”, and as many as 39% of all online customers admit that “search” significantly influenced their purchase. Even if your website is organized perfectly, customers will still get confused and some simply prefer search mechanics.  Yet, …

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Our strategy for building products

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When we started building our product, we focused on the Recommender engine and Segmentation. As a startup, we embraced agility and focus on the market. At the beginning of 2020, we decided that our product must become a reflection of our team. Then we said it must be a “no bullshit” product, agile or, in …

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How to combine Visual Search and IM

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In this text we will try to briefly explain IM applications integration with Visual Search. You can read more about Visual Search implementation in our last blog post. Instant Messaging (IM) and Chatbots Among all other benefits, The Internet has transformed and simplified how people communicate with each other. In addition to email, IM has …

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A closer view on Data Science Delivery

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According to Gartner, only 15% to 20% of data science projects get completed. Of those projects that did complete, CEOs say that only about 8% of them generate value. Despite these facts, data science is still considered as an opportunity for business growth. These facts are something that always lingers in the back of everyone’s …

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Be one step ahead: Solver AI Suite short overview

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Intro and motivation In the beginning, it started as the three separate projects. The first one for managing machine learning models known as MoMa, the second one for forecasting using multiple models to give the best results (Fibi), and the third one was a business solution for segmentation and recommender system with personalized view and …

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AI for eCommerce: How to use Visual Search

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Lately we’ve been hearing different kinds of buzzwords all the time – ‘deep learning’, ‘neural networks’, ‘computer vision’, ‘artificial intelligence’… But the explanation of each one of them is actually not so simple. Still, it’s not hard to understand the main concepts of them in order to use it in some real-world applications. One of …

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Things Solver has joined forces with Asseco SEE Group

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This confirms Things Solver’s strategy to continuously enhance its solutions and offer the most advanced products and services to customers Joining forces with the established IT partner ASEE, together we will accelerate the development of existing and new products based on advanced analytics and data processing. We are happy to embark on this new journey, …

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Introduction to recommender systems

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After watching Udemy online course Building Recommender Systems with Machine Learning and AI, I came up with the idea to write a text that can help beginners to understand the basic ideas of the recommender systems. A recommender system, or a recommendation system is a subclass of information filtering system that seeks to predict the …

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How to model better recommendations in Covid time?

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Needs in the IT sector are constantly changing. After Coronavirus hit us unexpectedly, this is true, more than ever. In order to keep distance from each other, we were forced to limit all our activities that can’t be done online. At first, this was shocking and we weren’t prepared for such change. But when we …

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Friday talks: EDA done right

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Main challenges  Although EDA is often observed as an initial step which should be straightforward, there are some challenges that could slow down and make this process poor and painful. Some of the challenges I have encountered so far are listed below.  Poorly defined business problem (and not having the understanding of it). Not having …

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HOW TO START WITH DATA SCIENCE?

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After participating in a meetup at the end of March, subjected “Data Science – what is it?”, a lot of people contacted me to send them some introductory materials to help them get started with learning. It took me a long time to sit down and start compiling a list, because there are many sources, …

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Dash by Plotly

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Let’s say you have been working on a project for clients segmentation. You have your client segments well separated and your final task is to present findings and results to the project stakeholders. Usual situation is that none of them have that level of technical expertise to understand your code so you need to visualize …

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Hello Docker

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Having spent couple of weeks on data preparation and developing that particular machine learning model, you are finally ready to show off with some really good results to your boss. You have your notebooks with lines of code doing magic, maybe some reports in Excel,  amazing visualizations in Plotly etc. It’s 5 minutes till your presentation …

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INTUITION vs. DATA

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Our company – Things Solver, helps clients make better decisions by analyzing relevant data. During analysis of the data, we often notice significant differences between what our clients would intuitively decide and what their data tells them to do. One striking example of a gap between our perception and reality is the state of the …

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How the Big Data Won the Hearts in Telecommunications

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The fact that there is a deep connection between the telecommunications and Big Data is very clear – the main task for telecommunications is in exchanging data. Since the amount of data has enormously increased in the modern era, the experts in telecommunication companies needed some help from the specialised experts. The need for the …

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Recommender Systems and Banks: Precious Recommendation

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The client’s path, from conceiving an idea to making it a project in the bank, used to be clear, but unpredictable. It involved a potentially noticed ad or the client’s own idea, a visit to the bank counter in person and the more or less successful deal with the bank. It was very time consuming, …

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Big Data and Banking: How Our Data Protects Us

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Some of the main tasks for the bankers are, among others, keeping, preserving, deriving more from less, taking the best out of what the clients deposit to them, with great confidence and trust. Almost the same definition could be applied to the Data Scientists dealing with the big data. They also deal with keeping, preserving, …

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Why the Telco Industry seems destined for Big Data

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A man is defined in numerous scientific ways, but one definition seems unchanged since the beginning of time. The man is the creature that communicates – from the first attempt to speak, till the last tale told to grandchildren. “The telecommunications are defined as the exchange of the information between the source and the destination, …

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Success Formula: Science, Business and Programming

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In every business, the ultimate dream is the one about the magic success formula. The search for ingredients is very extensive, but they often live next door. So now the greater „magic” becomes the question of using, understanding and connecting those dots. That „magic” even has a name. „Data Science is actually the applied science …

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Anomaly detection

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The problem of anomaly detection is a very challenging problem often faced in data analysis. Whether it is about clustering, classification or some other machine learning problem, it is of great importance to identify anomalies and handle them in some way, in order to achieve optimal model performances. Furthermore, anomalies could often influence the analysis …

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Handling missing data

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Hi, everyone. Although I planned for my next post to be about anomaly detection and their treatment,  I faced some other type of problem that quickly escalated into huge issue affecting the modelling and results accuracy, and couldn’t resist to share my experience as soon as possible. In this post, I will be talking about …

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Forecasting with VAR and Prophet

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In my previous post, I tried to present the ARIMA model for forecasting. It was based on the use of autoregression and moving average concepts, combining the regression of variable based on its lagged values and calculation of error based on the linear combination of error terms occurred in the past, respectively. In this post, …

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Interactive log analysis with Apache Spark

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The Internet is becoming the largest global shop across markets, and anyone who is offering products and services of any kind prefers for web shops to become the primary outlets to supply customers. This leads to a reduction in the number of employees and traditional brick and mortar branches and reduction in costs, so it …

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Forecasting with ARIMA

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One of the most challenging machine learning problems is predicting some output based on the history of its previous values. The complexity of the problem multiplies as new features and constraints are added to analysis. Thus, in time series analysis it is not always enough to use previous values only, there often are many features …

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