Archiwa: Case studies EN - Page 3 of 3

Problem:

One of the leading retail marketers in Poland needed short-term forecasts of the number of shoppers for better store work planning.

Rozwiązanie:

Using modern machine learning algorithms, the models were prepared to forecast traffic in stores 10 and 30 days in advance. The forecasts are provided daily in the form of interactive dashboards and email alerts.

Effects:

Forecast of traffic in each store (accuracy of about 5% for 30 days ahead)
Possibility to understand what 4 factors affect the traffic in the stores and how
Identification of the 3 most important promotions affecting traffic in stores
Possibility to identify days with increased traffic 30 days in advance

Data sources:

Transaction systems
Weather database
Calendar of promotional campaigns

Problem:

The growing number of promotional activities supported by mailings led to overwhelming the customers with marketing communication. One of the retail chains in Poland wanted to reduce the number of emails sent per customer while increasing their relevance in terms of the product range promoted.

Solution:

A scoring model (machine learning) was built, predicting the probability of a given customer’s interest in the product range promoted. A flexible tool for automated model building was developed supported by communication specialists. The success of the model resulted in a project to expand it with further data sources to increase forecast accuracy

Effects:

Fourfold increase in conversion in target groups using the model
Reduction by about 60% of the costs of preparing dedicated models for each campaign
More flexibility and shorter waiting times for the model. A dedicated scoring model for the campaign can be created in less than one working day

Data sources:

Transaction systems
Loyalty Program
Calendar of promotional campaigns
Website traffic

Category: Case studies EN

Forecats of number of shoppers

Problem:

Rozwiązanie:

Scoring model for email campaigns