The desired system should support the rational management of compressed air by optimizing and reducing its consumption, as well as overseeing and optimizing the operation of compressor systems within the facility. The system must allow for real-time event monitoring and integrate with the existing EMS and PI systems.

We are looking for a solution to analyze the behavior of users (potential candidates) interacting with the www.orlen.pl/kariera website. The system should enable the creation of reports, heat maps, and other visual insights. Additionally, the solution should support analysis of incoming traffic to assess the effectiveness of employer branding activities.

We are looking for a solution that enables the creation of interactive surveys (including quick ad-hoc surveys and surveys with conditional questions) to support both internal and external activities within the organization. The solution should provide tools for analyzing collected data (reports, charts) and support custom queries and data analysis.

In order to better coordinate pricing policies within ORLEN Group companies, we are looking for a common pricing tool for the Petrochemicals Trading Area. The aim of the project will be to improve the efficiency of pricing policy, increase the ability to exploit sales opportunities and build a secured database of prices and their components.

The tool should facilitate the monitoring of market quotations, provide price and market forecasts (demand and sales balances), and update information on pricing components (logistics, commission, packaging, financial costs) and input and production costs.

We are also keen on the collection of historical data and a dynamic reporting module (e.g. in the form of dashboards). An asset will be the ability to generate pricing recommendations based on the above information. Ultimately, the software should be integrated with Petro's CRM system.

Development of a platform using artificial intelligence and data analysis to identify potential customers and generate leads. The tool should scan internet resources and internal databases (CRM) of ORLEN Group companies in search of data about companies and individuals who may be interested in the profiled offer.

We are looking for a solution that enables automatic analysis of customer comments from Google Play and App Store. The tool should utilize artificial intelligence (AI) to identify key topics, trends, and issues reported by users. Additionally, it should generate automated responses to customer inquiries and create summary reports based on the analysis.

An added value would be the ability to analyze trends in other data available on store dashboards, helping to better understand user expectations and adjust operational strategies accordingly.

We are looking for a locomotive driving simulator with a VR add-on to provide realistic training for train drivers under near-real conditions. The system should support various locomotive types (diesel, electric, hybrid) and be continuously updated to reflect new technologies and regulations.

The VR-enabled simulator should replicate realistic working conditions and emergency scenarios, such as system failures, adverse weather, or track obstacles. This will enhance safety and training efficiency, allowing drivers to practice critical reactions without endangering lives.

The solution should support standardized training and certification processes, providing consistent skill assessments. Moreover, the interactive and immersive environment will help increase trainee engagement and retention, making training more effective.