Revolutionizing Pharmaceutical Supply Planning

The Power of Visual Feedback, AI-Assisted Calculations, Optimal Purchase Frequency, and Forward-Looking Capacity Planning

Johann Gudbjargarson

Johann Gudbjargarson

Co-founder & CEO

"The Supply Planner is the AI-Powered link in pharma planning"

Pharmaceutical supply planning plays a critical role in ensuring the availability of life-saving medications while minimizing waste and optimizing efficiency. However, traditional approaches relying on spreadsheets and manual calculations are proving to be insufficient in meeting the complex demands of the industry. This comes true especially for CDMO´s and other 3rd party manufacturers that are having to deal with increased complexity in their manufacturing setups. Fortunately, advancements in technology have brought forth innovative solutions that are transforming the landscape of pharmaceutical manufacturing, where Supply Planning lies at the heart of everything. 

In this article, we explore the key advantages of having an AI powered Supply Plan that provides real-time visual feedback on demand versus manufacturing capacity. The Plaio Coplanner leverages AI-assisted calculations to optimize supply plan calculations based on manufacturing capacity (CMO or own) taking into account all relevant variables, such as lead times and MOQ´s, embracing forward-looking capacity planning.

1. Configurable End-to-End Planning Process

Gone are the days of rigid, one-size-fits-all planning approaches. Visual planning solutions empower pharmaceutical manufacturers to configure their planning processes according to their unique requirements. With intuitive interfaces and drag-and-drop functionality, planners can easily customize workflows, defining the stages, dependencies, and rules that govern their demand and supply planning, as well as purchase planning. This flexibility allows for seamless integration with existing systems and the ability to adapt rapidly to changing market dynamics.

2. Visual Feedback of Demand vs. Manufacturing Needs

The integration of visual feedback in pharmaceutical supply planning provides a clear and intuitive representation of the demand versus manufacturing requirements. Through interactive dashboards and data visualization tools, supply planners gain real-time insights into production demands, allowing them to identify potential bottlenecks, forecast shortages, and allocate resources effectively. This visual approach enables proactive decision-making, minimizing the risk of stockouts or excess inventory, and optimizing overall supply chain performance.

3. Coplanner AI-Assisted Calculations

Harnessing the power of artificial intelligence (AI), the Plaio Coplanner is revolutionizing pharmaceutical supply planning by automating complex calculations. With the Plaio Coplanner's AI-assisted capabilities, planners can streamline and optimize production schedules, inventory levels, and replenishment strategies. By leveraging historical data, market trends, and machine learning algorithms, the Plaio Coplanner assists in making accurate predictions, reducing manual errors, and facilitating agile decision-making in the face of changing market dynamics.

Optimising Supply with PLAIO Coplanner

Optimising Supply with PLAIO Coplanner

4. Optimal Purchase Frequency Based on CMO's MOQs

Contract Manufacturing Organizations (CMOs) play a crucial role in the pharmaceutical supply chain. However, effectively managing CMO relationships can be challenging, especially when balancing optimal purchase frequencies with CMOs' minimum order quantities (MOQs). Leveraging advanced supply planning solutions, pharmaceutical companies can analyze purchase patterns, demand forecasts, and MOQ requirements to determine the optimal purchase frequency. This ensures that inventory levels are aligned with demand, minimizing inventory holding costs while maintaining a reliable supply.

5. Forward-Looking Capacity Planning

Capacity planning is a key element in pharmaceutical supply planning, as it ensures that production capabilities align with market demands. Traditional approaches often focus on historical data and short-term projections, leading to reactive decision-making. However, with forward-looking capacity planning, pharmaceutical companies can adopt a proactive approach by considering long-term growth plans, anticipated product launches, and market trends. By incorporating sophisticated modeling techniques and scenario analysis, supply planners can identify potential capacity constraints, optimize resource allocation, and make strategic investments to meet future demands.

6. Capacity Planning & S&OP Support

Orchestrating the optimal capacity planning is crucial for pharmaceutical manufacturers to meet market demands while maximizing resource utilization. Visual planning solutions bring this orchestration to life by providing dedicated features for capacity planning and supporting Sales and Operations Planning (S&OP) processes. Planners can accurately assess production capabilities, allocate resources efficiently, and identify potential bottlenecks or excess capacity. This ensures a harmonious balance between demand and supply, optimizing efficiency and reducing costs.

PLAIO Supply Plan Module

PLAIO Supply Plan Module

The pharmaceutical industry is witnessing a transformation in supply planning with the advent of new technologies and innovative solutions. Visual feedback of demand versus manufacturing needs, AI-assisted calculations through the Plaio Coplanner and forward-looking capacity planning are revolutionizing the way pharmaceutical companies manage their supply chains.

By embracing these advancements, pharmaceutical manufacturers can enhance operational efficiency, reduce costs, minimize supply disruptions, and ultimately ensure the availability of critical medications for patients worldwide.

It is crucial for industry stakeholders to embrace these advancements and leverage technology to unlock the full potential of pharmaceutical supply planning.

Start planning smarter

Request a free demo to learn how PLAIO‘s AI software solution for pharma can return more value from your planning and scheduling process.

Request a demo

Cookie settings

We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you.

Full Privacy Policy