Increase profits of
your retail chain even
by 20k EUR for each 1m
EUR of turnover (2%).

Our competitive advantages

Automatic price recommendation

The Pricely system calculates price recommendations in accordance with the pre-defined periodicity. Moreover, it provides additional recommendations in response to changes, eg. changes in competitors’ pricesor the product elasticity

Accurate projections thanks to Machine Learning

To calculate price recommendations we use a dynamic model based on Machine Learning. It ensures adaptation to the changing conditions of the store environment and changes in consumer habits. 

Quick integration in your chain

Our customers receive first recommendations even in one month. Software integration takes up to two months. We’re flexible in adding new features and in consulting.

Advanced reporting

Advanced reporting shows how historical pricing strategies of retailers affected results in the past and how new recommended prices can change the results in the nearest future. Reporting is based on Microsoft Power BI system.

A tool for Small and Medium Retail Chains

We created Pricely with particular regard to simplicity of usage, so that every user, after a short training course, could run a simulation of new prices and implement them without going into details of strategies applied. 

One scenario – you manage prices of all products

In one scenario you can manage the whole range of products in the stores or you can configure many scenarios, separately for each store or product category.

Why prices are so important?

Price optimization enables the most effective profit margin increase in retail chain stores.

What do we get from the 1% change?

Change of operational costs by 1%
generates up to 4% increase in profit margin value

4%

Change in the cost of products by 1%
generates up to 6% increase in profit margin value.

6%

Change in product prices by 1%
generates up to 11% increase in profit margin value.

11%
+ 2m PLN

A chain with revenue 100m PLN* can generate
additional 2m PLN profit
*Result for average chain

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We increase profitability of retail chains

We have been operating in the retail sector for many years and we have observed dynamic changes taking place on the market. Retailers struggle with problems related to constantly growing competition (both brick and mortar and online stores), and as a result profitability of the traditional stores drops. There are big disproportions between e-commerce and traditional stores with in the range of available price management tools.

Our Team

Marcin Dobek
Marcin Dobek
Operations Director

18 years’ experience in retail and market research. 10 years’ as an advisoer and category manage ment manager in Carrefour and Casino Group (Poland and France); specializes in price market research; built a system monitoring prices of competitors.

Cezary Kosiński
Cezary Kosiński
Managing Director

Over 20 years’ experience in designing and implementing IT solutions in retail trade, banking and the public sector in CEE; among others, worked for Wincor Nixdorf, Deutsche Telekom, holds PhD in technical sciences.

Michał Chabowski
Michał Chabowski
CFO

Manages VC funds from Rubicon Partners group, responsible for implementation and supervision of start-up investments. Member of Supervisory Boards and CFO in portfolio companies. Gained professional experience in seed/VC funds and consultancies.

Maciej Kubisty
Maciej Kubisty
Member of the Board

Entrepreneur experienced in running start-up projects in the area of new technologies based on innovative combining of loT, SaaS solutions and unconventional business models. Worked on advisory projects for companies investing in technological companies in their early stages of development.

Anna Soroka
Anna Soroka
Senior Pricing Consultant

For 8 years has specialized in pricing strategies, at first as a consultant at Simon-Kucher & Partners, and now manages prices of the leading category of products in the Shell petrol chain.

Michał Dębski
Michał Dębski
Data Scientist

Data base analyst, Data Mining and Machine Learning expert. Responsible for adaptation of algorithms computing new prices (regular, promotional and sale) and recommending assortment changes.

Wojciech Bąk
Wojciech Bąk
Head of IT

An expert in the field of optimization, computing strategies and use of artificial intelligence in recommendation systems, 13 years’ experience in Data Science.

Dominik Kaczmarek
Dominik Kaczmarek
Manager IT

17 years’ experience in development and management of IT products for retail chains and banks; specialized in security and efficiency issues in BigData processing.

Accurate projections thanks to Machine Learning

Quick integration in your chain

Advanced reporting

A tool for Small and Medium Retail Chains

One scenario – you manage prices of all products

Automatic price recommendation

References

Julia Frendler-Bielicka
Julia Frendler-Bielicka
Managing Director, CTE

As a production and retail company operating in dynamically changing market environment (strong competition, price variance, demand and supply seasonality), on multiple occasions we have used the expertise of the Team and the functionality of the Pricely software in the area of forecasting the price of the product offered by our company. We are very happy with the effects of our collaboration which enabled CTE to maximize economic benefits resulting from a given market situation while building long term satisfaction of our clients.

Paweł Skórka
Paweł Skórka
Investment Manager, Rubicon Partners

The solution developed by Pricely has drawn our attention mainly due to the fact that in the Polish retail market, dominated by big food chains, there has been no effective tool for small and medium retail chains enabling them to compete with the big players effectively. We are very glad of the Pricely system development dynamics, effects of the past implementations and translating the extensive knowledge of the Pricely Team into practical, working solution, generating real and tangible benefits to the clients.

Invite us to the meeting

In 45 minutes we will convince you that the implementation of Pricely in your network will open new opportunities for development.

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The project "PricingTags - a system for optimization and dynamic price management in small and medium commercial networks" is co-financed by the European Union under the European Regional Development Fund under Priority Axis I: Entrepreneur Eastern Poland, measure 1.1 Starting platforms for new ideas, Sub-measure 1.1 .2 Development of startups in Eastern Poland.