Powered
By Insights

Data Science and Artificial Intelligence laboratory

Have an idea for a new AI product?
We can help you make it happen.

Powered By Insights transforms Data into Value

AI FOR ECOMMERCE AND ONLINE BUSINESSES

Predictive Customer Analytics
- customer segmentation
- prediction of churn and future purchases
- lead scoring

Personalization
- detection of buyer personas
- recommendation engines
- automation of marketing campaigns

Strategy Consulting
- AI readiness audit
- coaching and mentoring regarding the AI strategy and AI team
- AI workshop

NATURAL LANGUAGE PROCESSING SOLUTIONS

Data enrichment
- turn externalities like e-mails, social media and articles into machine learning features

Sentiment analysis
- understand and classify your customers based on the text they write

Product search optimization
- transform description of your products into clever tags and key words

SENSOR DATA AND IoT

Smart solutions
- stream and signal processing
- resources optimization
- intelligent control systems

Alarm systems
- anomaly detection
- predictive maintenance

HOW IT WORKS?

Powered by Insights will help you with the business analysis, engineering and research and prototype Data Science and Artificial Intelligence solutions

Discovery phase

Not sure about how Data Science and AI can help you grow your business? Don't worry, during discovery phase we will help you find the right direction.

  • Insights - what is the root cause of the problem and which type of data yields the best information
  • Infrastructure assessment - what changes will make your tech infrastructure ready for data driven automation
  • Strategy consulting - how to achieve big ROI using Data Science and AI

Prototyping phase

In the prototyping phase, we will focus on innovation and experimenting. This is where the real fun begins!

  • Feature engineering - what patterns and features can be extracted from data
  • Modeling - which AI model is the best at addressing your business case
  • Optimization - how to set parameters which determine the performance of the mathematical model

Deployment phase

At the end of the day, it's all about saving time and money. We will help you create value for your customers!

  • Development of ETL pipelines - how to turn raw data into features that are usable in predictive modeling and machine learning algorithms
  • Definition of KPIs - how to chose the right metric for measuring the progress of AI projects
  • Building your dream team - which roles you need in your company to successfully implement advanced analytics and Machine Learning

CASE STUDIES

Improving marketing strategy and customer retention using streaming Big Data

Data streaming pipelines
We optimized data streaming pipelines so that we can create visualizations, analytics dashboards and begin feature engineering to describe and explain customers’ behavior.
Machine learning model for Churn prediction
We analyzed online data and developed a machine learning model for churn prediction which can be used to drive marketing strategy and improve customer retention.
Natural language processing
We created a natural language processing tool, which is capable of turning video tags into new clusters and features which can be used for AI algorithms and customer profiling.

Turning data from contracts into a strategic asset

Data strategy consulting
We provided consulting services regarding data strategy and infrastructure changes which will maximize utilization of the contract data.
Analytics modul for contract data
We developed an analytic module for the Legito platform which extracts, transforms and visualizes data from contracts so that it is possible to get important insights about clients and improve strategic decisions.

Unsubscribe prediction in e-mailing campaigns

We provided data science services regarding unsubscribe prediction based on the customer behavioral data. We conducted a comprehensive study of what behavioral features are important and three prototypes of the best performing machine learning models.

Segmentation in e-commerce

We helped with segmentation and optimization of product tags and categories based on the transactional data. We conducted a comprehensive study of how the existing content personalization engine can be improved and a clustering model prototype.

STRATEGIC PARTNERSHIPS

Powered by Insights is a growing B2B network of freelancers and SMEs focusing on the application of artificial intelligence and data science techniques. We combine the experience of senior domain experts with an agile startup-like approach to deliver first-class tailored solutions for e-commerce, online platforms, IoT devices and other fields which are dealing with a large amount of data. Do you want to know more? Reach out to set up a meeting!

Ondrej Kopicka

Ondrej Kopicka, Founder & CEO

Ondrej is focusing on the artificial intelligence for more than a five years. He utilizes the knowledge and experience he gained at Charles University in Prague and in the Honeywell Prague labs where he helped with the development of innovations and patented technologies. At Powered by Insights he specializes in data from online platforms and IoT devices.

Abradatas

Abradatas

Abradatas is a young Czech company led by Jakub Dostal. They focus on applying mathematics and data science in a large variety of industries. Jakub has a background in Bayesian statistics and mathematical modeling, which he has used to help the company Solar Global Energy with their intra-day trading on energy markets.

Ecommerce-Academy.cz

Ecommerce-Academy.cz

Ecommerce-Academy is an initiative of several Czech marketing experts, aiming to help e-commerce businesses via a series of workshops focused on such topics as attribution modeling, customer analytics, branding, experimenting and AI in e-commerce.

CONTACT US

Powered by Insights, Data Science and Artificial Intelligence Laboratory

Powered by Insights, spol. s r.o.
Rybná 716/24, 110 00 Prague, Czech Republic
 ID No. 05654891, TAX & VAT ID CZ05654891
Registered in the Commercial Register with
the Municipal Court in Prague, Section C, File No. 268424

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