Category: Case studies EN

Problem:

One of the retailers needed easy access to information about its loyalty program participant database. The information had to be legible, easily accessible and regularly updated.One of the retailers needed easy access to information about its loyalty program participant database. The information had to be legible, easily accessible and regularly updated.

Solution:

An interactive dashboard was built to present the most important information in a clear form. The dashboard is updated daily based on the loyalty program database and other data sources.

Problem:

One of the retailers, in order to diversify its offer and communication, wanted to distinguish business-relevant segments in a database of almost 4 million registered consumers.

Rozwiązanie:

Using machine learning methods, 5 customer segments were identified based on nearly 100 variables. These segments were characterised and described for marketing purposes. Each customer in the database was assigned a segment with the possibility of periodical automatic refreshing.

Problem:

When introducing a new product on the market, one of the FMCG companies needed to decide which distribution networks to cooperate with. The aim was to ensure product availability in target groups in the most important cities in Poland while limiting the number of partners.

Solution:

A tool was built to simulate target market coverage depending on the selected network and other parameters. Business users can change simulation assumptions and test different scenarios themselves.

Problem:

High printing and distribution costs mean that paper catalogues are prepared in limited editions.  It is necessary to decide in which areas to carry out the distribution.

Solution:

A tool for the marketing department has been developed, creating a ranking of areas based on several variables with the possibility of determining their weights by a business user. The solution was nationwide (it concerned all the regions in which the retailer operated).