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UE Project

MarTech is implementing “Building a consumer behavioral model with the use of machine learning tools to optimize conversion paths in the e-commerce industry”, a project which is financed from the resources of the Smart Growth Operational Program (POIR) 2014-2020, Measure: 1.1. Enterprise R&D projects, Sub-measure: 1.1.1 Industrial research and development “R&D projects of enterprises”.

Project co-financed by the European Union from the European Regional Development Fund under the Intelligent Development Operational Program. Project implemented as part of the National Center for Research and Development competition: “Fast Track”.

The main goal of the project

The goal of the Project is to create an appliance of machine learning for advanced marketing campaign optimization. The system for automating the management of the conversion path from a user to the client in the area of electronic advertising will be developed.

Planned effects

The outcomes of the project will include the improvement and development of algorithms, allowing for the automation of work currently performed by domain experts. The essence of the proposed approach is to use a two-level approach combining machine learning methods with stochastic analysis. It will allow to build explanatory models that are able to react to rare events and effectively make decisions for the whole portfolio of campaigns run in parallel.

Project value: PLN 10 676 031,37
Contribution of European Funds: PLN 8,268,550.09
Implementation period: 01/07/2020 – 28/02/2023