Business

From clicks to conversions: AI strategies that can transform eCommerce

Posted on 12. 09. 2023.19. 09. 2023.

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 …

10 Tips for a more effective personalized Viber campaign

Posted on 20. 07. 2023.20. 09. 2023.

We live in a world of personalization where having a proper communication platform to deliver engaging and relevant messages to customers is paramount. Companies across the globe are fighting for dominance in their industries and niches, so making sure to stand out from the crowd certainly goes a long way in attracting and retaining customers. …

How retail businesses can use AI to boost revenue

Posted on 06. 03. 2023.19. 09. 2023.

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 …

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

Posted on 06. 03. 2023.08. 08. 2023.

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 …

How AI improves customer loyalty through personalization

Posted on 06. 03. 2023.15. 09. 2023.

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 …

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

Posted on 02. 03. 2023.

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 …

Our strategy for building products

Posted on 25. 05. 2021.16. 09. 2021.

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 …

Time to Reflect: Our Culture From a Maternity Leave Perspective

Posted on 21. 04. 2021.16. 09. 2021.

Bonuses and monetary incentives are touted as a cure-all solution for instilling a culture in a company. Fortunately, it will take a touch more than financial incentives to get the culture right. Giving monetary incentives can lead to poor results; look no further than what happened to the Brits in colonial India. The British governor …

How banks can leverage AI: Segmentation as one-two-three!

Posted on 26. 03. 2021.16. 09. 2021.

Segmentation is a widely known term, especially within the marketing sector. It is an insightful, effective and actionable approach to better understanding a customer or client base. What is so attractive about leveraging AI specifically within the banking sector is the amount and variety of data. Segmentation per se is not the final outcome of …

A closer view on Data Science Delivery

Posted on 01. 03. 2021.16. 09. 2021.

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 …

Be one step ahead: Solver AI Suite short overview

Posted on 12. 02. 2021.20. 09. 2023.

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 …

How we deliver value at Things Solver – Focus on the goal

Posted on 29. 01. 2021.19. 09. 2023.

I didn’t want to start this post by quoting the percentage of data science projects failing to deliver commercial value or business utilization. Many data science projects fail – and that’s a fact. What’s important is to make sure that you are not spending hundreds of Ks of euros/dollars? and other resources and fail. Being …

AI for eCommerce: How to use Visual Search

Posted on 26. 01. 2021.20. 09. 2023.

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 …

Things Solver has joined forces with Asseco SEE Group

Posted on 20. 01. 2021.20. 01. 2021.

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, …

Streaming analytics in banking: How to start with Apache Flink and Kafka in 7 steps

Posted on 01. 12. 2020.01. 12. 2020.

In the previous text, we talked about the basics of streaming, what it means in theory, what are the advantages, disadvantages and mentioned some streaming tools. This text is more technical, and we will talk about Flink in general as well as the basics of streaming in Flink, the whole process from start (read data) …

How to model better recommendations in Covid time?

Posted on 27. 10. 2020.

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 …

Once you start with streaming, you go with the flow!

Posted on 14. 10. 2020.16. 10. 2020.

Data streaming has become very popular in the big data industry. It is used for processing large amounts of data from different sources which are continuously generated, in real-time. When we say “real-time” we need to understand that it can vary from a few milliseconds to a few minutes. Besides that streaming is enabling us …

Friday talks: EDA done right

Posted on 28. 08. 2020.28. 08. 2020.

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 …

FRIDAY TALKS: DATA SCIENCE IN MARKETING #ESSENTIALS

Posted on 24. 07. 2020.06. 08. 2020.

Marketing is one of the most fertile fields for Data Science. There are many different techniques and directions which marketing teams are striving to realize, but the two most frequently discussed are – up sell and cross sell. For those of you who are less familiar with the terms, “up sell” stands for the action …

FRIDAY TALKS: PROCESS MINING – WHERE PROCESS SCIENCE MEETS DATA SCIENCE

Posted on 25. 04. 2020.06. 08. 2020.

We live in the era of information technology, when we generate more data in 10 minutes than the amount of total data generated from prehistoric times by the year of 2003. Having the processing power and memory resources to handle all this data being generated from different actors within different processes – organizations strive to …

HOW TO START WITH DATA SCIENCE?

Posted on 16. 04. 2020.20. 09. 2023.

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, …

FRIDAY TALKS: FRIENDS OR FOES? Propensity to purchase vs. Survival analysis

Posted on 01. 06. 2019.06. 08. 2020.

Retail industry. In the glory of Data Science, it’s all about the data and tailor-made targeting. If you want to brag about it, you would say – I’ve got the unique, omni-channel, 360-something, that can perfectly model customer’s behaviour and even go to Mars. What really happens is that you literally feel lost. There are …

INTUITION vs. DATA

Posted on 02. 03. 2019.06. 08. 2020.

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 …

How the Big Data Won the Hearts in Telecommunications

Posted on 12. 12. 2018.06. 08. 2020.

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 …

Recommender Systems and Banks: Precious Recommendation

Posted on 09. 11. 2018.

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, …

Data Science Academy Finals: „New Knowledge Is Always Welcome”

Posted on 05. 11. 2018.

Students of the first Data Science Academy spent three months on a journey through the world of data science, big data and analytics. Although most of them are coming from the world where Data Science is not the hottest thing, they bring home many impressions from the journey. “The knowledge is never a burden, new …

Big Data and Banking: How Our Data Protects Us

Posted on 10. 04. 2018.

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, …

Why the Telco Industry seems destined for Big Data

Posted on 30. 03. 2018.

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, …

Success Formula: Science, Business and Programming

Posted on 05. 03. 2018.

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 …