Bp2 ML

Our services are tailored to help businesses achieve greater efficiency and adapt to the evolving demands of the modern work environment.

About Us

Bp2ML Sp.z o.o is a company dedicated to revolutionizing the way we approach office and remote work through the integration of advanced machine learning technologies. Our solutions are designed to enhance productivity and streamline operations, addressing common challenges faced in both physical and virtual workplaces. By leveraging artificial intelligence, we provide tools that automate routine tasks, optimize workflow, and facilitate effective communication and collaboration among teams. Our services are tailored to help businesses achieve greater efficiency and adapt to the evolving demands of the modern work environment.

Our project

Our project, finalized in 2023, aimed to develop a series of sophisticated machine learning algorithms to optimize workflow and decision-making processes within our organization. This initiative involved three main development tracks:

Email Analysis Algorithm: We created a machine learning model designed to analyze incoming emails and determine their relevance to ongoing cases predefined in our task management system. This algorithm helps streamline case handling by automatically classifying emails according to case relevance, significantly enhancing workflow efficiency.

Urgency Assessment Algorithm: This part of our project developed a machine learning algorithm designed to meticulously evaluate the immediacy of each case. It integrates several critical factors, including the significance of the client, looming deadlines, the severity of the issue at hand, and the overall weight of the project. This advanced algorithm efficiently ranks tasks in order of importance, ensuring that urgent matters are escalated and addressed promptly, facilitating effective management of time-sensitive priorities.

Employee Engagement Algorithm: We developed an algorithm to analyze the work patterns of remote employees to identify those who may be struggling or not contributing effectively, termed as ‘influencers of chaos.’ This algorithm helps in pinpointing inefficiencies within the remote workforce and assists in implementing targeted interventions to enhance productivity and reduce disruptions.

This comprehensive suite of tools has been successfully implemented among our clients, resulting in marked improvements in operational efficiency, task prioritization, and employee productivity management. Through these innovations, we have empowered our clients to make data-driven decisions swiftly and maintain high productivity standards in a dynamic work environment.

Transform Your Vision into Reality

Let’s build something extraordinary together. Whether you’re looking to innovate, grow, or solve challenges, we’re here to help you succeed.

Contact

Future Plan

Our new initiative aims to expand and enhance our current machine learning-driven task management system. This project will introduce sophisticated features and functionalities to optimize operations further:

Task Allocation:

Competence-Based Task Assignment: The system will assign tasks to employees who possess the necessary expertise and are currently available, ensuring that each task is matched with the most suitable professional. change later

Cost Efficiency: The system will also consider the cost-effectiveness of assigning tasks, opting for the most affordable competent employee available.

Employee Skill Balancing: This feature allows for the reallocation of tasks among employees with similar skills who have lighter workloads. This not only enhances work flexibility but also boosts overall efficiency by leveraging underutilized capacities.

Case Management Enhancement:

Task Size Estimation: Upon receiving a case, the system will estimate the time required for completion using a sizing metric ranging from XS to XL. This feature will aid in more accurate planning and resource allocation.

Immediate Case Handling: A new model for urgency will be developed, incorporating previously unconsidered factors such as:

Process Weight: The importance of individual processes in the context of overall operational efficiency will be evaluated.

Step Significance: The system will assess the importance of individual steps within a project to prioritize critical tasks effectively.

Service Level Agreements (SLA): SLAs will be integrated into the scheduling process to ensure that commitments to clients are met on time.

Virtual Task Board Creation:

Dynamic Task Visualization: Unlike traditional task management systems that only display currently assigned tasks, our proposed virtual board will include slots for future tasks that are anticipated based on ongoing processes. This feature allows for advanced planning and ensures that all team members can reserve time for upcoming tasks, accommodating delays that may arise from the need to complete preceding steps. This predictive functionality is designed to enhance the visibility of entire sprints or project timelines, making it a powerful tool for strategic planning and resource management.

This project will significantly advance our capabilities in task management, making our system more adaptive, proactive, and efficient in handling the dynamic nature of cases and client needs.

Key Innovations

Multidimensional Urgency Assessment Model:

This innovation introduces a sophisticated algorithm that integrates multiple dimensions to assess the urgency of tasks. It factors in elements such as the financial impact of tasks, strategic importance of clients, critical deadlines, and the integrity of internal processes. This model not only prioritizes tasks based on these criteria but also predicts which actions need immediate attention to optimize operational outcomes.

Competency-Based Task Allocation System:

A groundbreaking machine learning model that assesses employee competencies, availability, historical performance, and task preference to distribute work more efficiently and effectively. This system aims to balance workloads across teams, optimizing employee performance and satisfaction by aligning tasks with individual strengths and preferences.

Adaptive Dynamic Task Board:

An advanced visualization tool that goes beyond static task lists to provide a dynamic overview of current and upcoming tasks. This tool is capable of adjusting to real-time changes in the work environment, forecasting future workload changes, and helping managers plan resources more effectively. Its adaptive nature allows for proactive adjustments before potential disruptions become critical.

Integrated Financial Impact Analysis in Task Scheduling:

This innovation involves designing a scheduling model that incorporates an analysis of the financial impact associated with each task. By considering potential gains and losses, this model aids in making informed strategic decisions about task prioritization that align with the company’s financial goals, ultimately aiming to boost profitability.

These innovations are designed to transform traditional task management by introducing higher levels of automation, precision, and strategic alignment, making them highly marketable to organizations looking to enhance their operational efficiency and employee productivity.