Benefits of Advanced Planning Systems - Improving Supply Chains

In today’s highly competitive market, the ability to anticipate, respond, and adapt to demand fluctuations is crucial for organisational success. Advanced Planning Systems (APS) are revolutionising how businesses approach forecasting, inventory optimisation, and supply planning, offering unprecedented precision and efficiency. This article delves into the benefits of APS in these areas and explores how these systems enhance Sales and Operations Planning (S&OP) and overall organisational decision-making.

1. Forecasting: Precision in Predicting Demand

Forecasting is the cornerstone of effective supply chain management. It involves predicting future demand to ensure that products are available when and where they are needed. Advanced Planning Systems leverage various forecasting methods, algorithms, and technologies to provide more accurate and reliable predictions.

Forecasting Methods

1. Qualitative Methods: These methods rely on expert opinions and market research. Techniques such as the Delphi method and market surveys are common. While subjective, they are valuable for new products with no historical data.
2. Quantitative Methods: These methods use historical data and statistical models to predict future demand. They include:
   • Time Series Analysis: This method analyses historical data to identify trends, seasonality, and cycles. Techniques such as moving averages, exponential smoothing, and ARIMA models are widely used.
   • Causal Models: These models consider external factors influencing demand. Regression analysis is a common technique, where independent variables (e.g., marketing spend, economic indicators) predict the dependent variable (demand).

Advanced Algorithms and Machine Learning

1. Machine Learning Models: Machine learning algorithms can handle vast amounts of data and identify complex patterns. Models such as neural networks, decision trees, and support vector machines can adapt to changes in demand patterns over time.
2. Statistical Methods:
   • Bayesian Forecasting: This approach incorporates prior knowledge and updates predictions as new data becomes available, offering a probabilistic framework that quantifies uncertainty.
   • Tournament-Based Forecasting: This method involves running multiple forecasting models in parallel and selecting the best-performing model based on predefined criteria.

Managing Forecast Error

Forecast accuracy is critical, as errors can lead to stockouts or excess inventory. Advanced Planning Systems include tools for measuring and minimising forecast error, such as Mean Absolute Percentage Error (MAPE), Mean Squared Error (MSE), and tracking signals. By continuously monitoring forecast accuracy, organisations can adjust their models to improve precision.

2. Inventory Optimisation: Balancing Service Levels and Costs

Inventory optimisation ensures that the right amount of stock is maintained to meet demand while minimising holding costs. Advanced Planning Systems use sophisticated algorithms to achieve this balance by setting service targets, constraints, and performing scenario modelling.

Service Target and Constraint Setting

1. Service Targets: APS allows organisations to set service level targets, which define the percentage of demand that must be met without stockouts. Higher service levels require more inventory, increasing holding costs, while lower service levels risk customer dissatisfaction.
2. Constraint Setting: Organisations face various constraints, such as budget limitations, storage capacity, and lead times. APS considers these constraints to develop feasible inventory plans that meet service targets.

Scenario Modelling

Scenario modelling enables organisations to evaluate different inventory strategies under various conditions. For example, APS can simulate the impact of changes in demand, lead times, or supply disruptions on inventory levels. This helps organisations identify optimal strategies and prepare for uncertainties.

3. Supply Planning: Ensuring Continuity and Efficiency

Supply planning involves coordinating the supply of materials to meet production and demand requirements. Advanced Planning Systems enhance supply planning through precise calculations of safety stock, projected inventory positions, time-phased replenishment planning, and economic order quantities.

Safety Stock Calculations

Safety stock acts as a buffer against demand variability and supply disruptions. APS uses statistical methods to calculate the optimal safety stock levels, considering factors such as demand variability, lead time variability, and desired service levels. This ensures that organisations can maintain service levels even in the face of uncertainties.

Projected Inventory Position

APS provides real-time visibility into current and future inventory positions. By considering on-hand inventory, on-order inventory, and future demand, organisations can accurately project inventory levels and make informed decisions about replenishment and production.

Time-Phased Replenishment Planning

Time-phased replenishment planning ensures that materials are ordered and received in alignment with production schedules and demand forecasts. APS uses techniques such as Materials Requirements Planning (MRP) and Distribution Requirements Planning (DRP) to develop time-phased replenishment plans.

• Materials Requirements Planning (MRP): MRP calculates the materials needed for production based on the master production schedule, bill of materials, and inventory levels. It determines the quantities and timing of orders to ensure materials are available when needed.
• Distribution Requirements Planning (DRP): DRP extends MRP principles to the distribution network, ensuring that finished goods are available at the right locations to meet customer demand.

Economic Order Quantities (EOQ)

EOQ is a classic inventory management technique that determines the optimal order quantity to minimise total inventory costs, including ordering and holding costs. APS can calculate EOQ for different products, helping organisations achieve cost-effective inventory management.

Enhancing S&OP Effectiveness and Organisational Decision-Making

Advanced Planning Systems significantly enhance S&OP effectiveness by providing accurate data, real-time insights, and sophisticated modelling capabilities. This results in better alignment between supply chain functions and organisational goals, leading to improved decision-making and overall performance.

Integration and Collaboration

APS integrates data from various sources, breaking down silos and fostering collaboration across departments. This ensures that all stakeholders have access to consistent, up-to-date information, facilitating coordinated planning and execution.

Scenario Analysis and Decision Support

APS enables organisations to conduct scenario analysis, evaluating the impact of different strategies and decisions on supply chain performance. This helps organisations make informed decisions, optimise their supply chain, and respond effectively to changes in the market.

Performance Monitoring and Continuous Improvement

APS includes tools for monitoring key performance indicators (KPIs) and tracking progress against targets. By continuously analysing performance data, organisations can identify areas for improvement and implement corrective actions to enhance supply chain efficiency and effectiveness.

Example Advanced Planning Systems (APS) Solutions

Several advanced planning systems have established themselves as industry leaders, offering comprehensive features and capabilities to optimise supply chain operations. Examples include:

1. SAP Integrated Business Planning (IBP): This solution provides powerful tools for demand planning, inventory optimisation, and supply planning. It integrates with SAP's broader ecosystem, enabling seamless data flow and collaboration across the organisation.
2. Oracle Advanced Supply Chain Planning (ASCP): Oracle ASCP offers robust functionalities for forecasting, supply chain modelling, and constraint-based planning. It leverages Oracle's cloud infrastructure to deliver real-time insights and enhance decision-making.
3. Kinaxis RapidResponse: Known for its agility and real-time capabilities, Kinaxis RapidResponse enables organisations to quickly respond to supply chain disruptions. Its concurrent planning model supports end-to-end supply chain visibility and integrated scenario analysis.
4. JDA (now Blue Yonder) Supply Chain Management: Blue Yonder's APS suite includes solutions for demand planning, replenishment, and inventory optimisation. It utilises machine learning algorithms to enhance forecast accuracy and optimise inventory levels.
5. GAINS Systems: GAINS Systems offers advanced inventory optimisation and demand planning solutions. Their platform uses advanced analytics and machine learning to provide precise forecasts and optimise inventory across complex supply chains.
6. Relex Solutions: Relex Solutions specialises in retail and consumer goods supply chain planning. Their APS focuses on demand forecasting, inventory optimisation, and replenishment, leveraging AI and machine learning to enhance efficiency and accuracy.

These APS solutions provide the technological backbone that organisations need to streamline their supply chain processes, reduce costs, and improve overall efficiency. By leveraging these advanced tools, businesses can better anticipate demand, optimise inventory, and ensure that supply plans align with organisational goals.

Advanced Planning Systems are transforming how organisations approach forecasting, inventory optimisation, and supply planning. By leveraging sophisticated algorithms, machine learning, and statistical methods, APS provides more accurate and reliable predictions, optimises inventory levels, and ensures efficient supply planning. This enhances S&OP effectiveness and overall organisational decision-making, enabling businesses to stay competitive in a dynamic market.

As organisations continue to face increasing complexity and uncertainty in their supply chains, the adoption of Advanced Planning Systems will be crucial for achieving operational excellence and maintaining a competitive edge. Whether through improved forecasting accuracy, optimal inventory management, or efficient supply planning, APS empowers organisations to make data-driven decisions that drive success.

Incorporating APS into your supply chain strategy can yield significant benefits, from reducing costs and improving service levels to enhancing collaboration and agility. By investing in these advanced systems, organisations can position themselves for long-term success in an ever-evolving business landscape.

If you would like to explore how Advanced Planning Systems can transform your supply chain operations, contact Trace Consultants, an Australian boutique supply chain advisory firm. Our experts are ready to help you navigate the complexities of modern supply chains and achieve your business objectives.

Optimising Working Capital through Supply Chain and Inventory Management

For CFOs across industries such as retail, manufacturing, healthcare, and FMCG, optimising working capital is a key priority. Effective supply chain and inventory management play a crucial role in achieving this objective. By reducing excess inventory, implementing just-in-time practices, and leveraging supply chain visibility, businesses can free up cash, reduce holding costs, and improve overall operational efficiency.

In this article, we will explore how CFOs in Australia and New Zealand can optimise working capital through strategic supply chain and inventory management. We will discuss key strategies for improving working capital, the role of supply chain visibility, and how Trace Consultants can help businesses achieve their working capital goals.

What is Working Capital and Why is it Important?

Working capital is a measure of a company's liquidity and operational efficiency. It represents the difference between current assets (such as inventory and receivables) and current liabilities (such as payables). Optimising working capital involves managing these assets and liabilities effectively to ensure that the company has enough cash to meet its short-term obligations while maximising operational efficiency.

Key Benefits of Working Capital Optimisation

1. Improved Cash Flow: Optimising working capital helps businesses free up cash that can be used for growth initiatives, debt repayment, or other strategic investments.
2. Reduced Holding Costs: By reducing excess inventory, businesses can lower the costs associated with storing and managing inventory.
3. Enhanced Financial Flexibility: Improved working capital provides businesses with greater financial flexibility, allowing them to respond quickly to changes in market conditions or unexpected opportunities.
4. Lower Borrowing Costs: Optimising working capital reduces the need for short-term borrowing, leading to lower interest expenses and improved profitability.

Key Strategies for Optimising Working Capital

1. Inventory Optimisation

Inventory is often one of the largest components of working capital, making it a key focus for optimisation. By reducing excess inventory, businesses can free up cash, reduce holding costs, and improve overall supply chain efficiency.

Techniques for Inventory Optimisation

• Demand Forecasting: Accurate demand forecasting is essential for maintaining optimal inventory levels. By using data-driven forecasting techniques, businesses can better predict customer demand and avoid overstocking or stockouts.
• Just-in-Time (JIT) Inventory: JIT inventory management involves receiving goods only when they are needed for production or sale. This helps reduce excess inventory and minimises holding costs.
• ABC Analysis: ABC analysis categorises inventory into A, B, and C items based on their value and demand frequency. By focusing on high-value (A) items, businesses can prioritise inventory management efforts and reduce working capital tied up in lower-value items.
• Safety Stock Optimisation: Safety stock is essential for managing supply chain variability, but excessive safety stock can tie up working capital. By optimising safety stock levels, businesses can strike the right balance between service levels and working capital efficiency.

2. Supply Chain Visibility and Collaboration

Supply chain visibility is critical for optimising working capital. By gaining real-time insights into inventory levels, supplier performance, and customer demand, businesses can make more informed decisions and improve overall supply chain efficiency.

Techniques for Enhancing Supply Chain Visibility

• Real-Time Tracking: Implementing technologies such as IoT and RFID can provide real-time tracking of inventory across the supply chain, helping businesses monitor inventory levels and avoid overstocking.
• Supplier Collaboration: Collaborating closely with suppliers helps ensure that inventory levels are aligned with production schedules and customer demand. By sharing data and forecasts with suppliers, businesses can reduce lead times and minimise excess inventory.
• Integrated Supply Chain Systems: Using integrated supply chain management systems provides end-to-end visibility into supply chain activities, helping businesses optimise inventory levels, reduce lead times, and improve working capital efficiency.

3. Optimising Accounts Payable and Receivable

Working capital optimisation also involves managing accounts payable and receivable effectively. By optimising payment terms with suppliers and improving cash collection from customers, businesses can improve their cash flow and working capital position.

Techniques for Optimising Accounts Payable and Receivable

• Negotiating Payment Terms: Negotiating longer payment terms with suppliers can help improve cash flow by reducing the immediate cash outflow. However, it is important to balance payment terms with supplier relationships to ensure continuity of supply.
• Early Payment Discounts: Taking advantage of early payment discounts offered by suppliers can lead to cost savings and improve working capital efficiency.
• Improving Cash Collection: Implementing efficient invoicing and payment processes helps reduce the time it takes to collect payments from customers, improving cash flow and reducing days sales outstanding (DSO).

4. Just-in-Time (JIT) Practices

Just-in-Time (JIT) inventory management is a powerful strategy for reducing working capital tied up in inventory. By aligning inventory levels with actual demand, businesses can minimise excess stock, reduce holding costs, and improve overall efficiency.

Benefits of JIT Practices

• Reduced Inventory Levels: JIT practices help businesses maintain minimal inventory levels, freeing up cash that would otherwise be tied up in excess stock.
• Lower Holding Costs: By reducing the amount of inventory held, businesses can lower storage and handling costs, leading to improved working capital efficiency.
• Improved Supply Chain Flexibility: JIT practices enable businesses to respond more quickly to changes in customer demand, reducing the risk of obsolescence and ensuring that inventory levels are always aligned with market needs.

5. Leveraging Technology for Working Capital Optimisation

Technology plays a crucial role in optimising working capital by providing real-time data, automating processes, and improving decision-making. CFOs can leverage digital tools to enhance inventory management, supply chain visibility, and cash flow management.

Key Technologies for Working Capital Optimisation

• Inventory Management Systems (IMS): IMS solutions provide real-time visibility into inventory levels, helping businesses optimise stock levels and reduce holding costs.
• Enterprise Resource Planning (ERP) Systems: ERP systems integrate data from different parts of the business, providing a comprehensive view of working capital and enabling better decision-making.
• Demand Planning Software: Demand planning software uses data analytics to predict customer demand accurately, helping businesses maintain optimal inventory levels and avoid excess stock.
• Supply Chain Analytics: Supply chain analytics tools provide insights into supplier performance, lead times, and inventory turnover, helping businesses optimise their supply chain and improve working capital efficiency.

Case Study: Working Capital Optimisation for a New Zealand FMCG Company

A New Zealand-based FMCG company faced challenges related to high inventory levels and cash flow constraints. The company decided to implement a working capital optimisation initiative to improve cash flow, reduce holding costs, and enhance overall supply chain efficiency.

Approach

• Inventory Optimisation: The company used demand planning software to improve the accuracy of its demand forecasts, reducing excess inventory and improving stock turnover.
• Supplier Collaboration: The company collaborated closely with its key suppliers to align inventory levels with production schedules and reduce lead times.
• Just-in-Time Practices: The company implemented JIT practices to minimise inventory levels and reduce holding costs, particularly for high-value and slow-moving items.
• Technology Integration: The company integrated its ERP and inventory management systems to provide real-time visibility into inventory levels and optimise stock management.

Results

• Improved Cash Flow: The company achieved a 20% improvement in cash flow by reducing excess inventory and optimising payment terms with suppliers.
• Reduced Holding Costs: Inventory optimisation and JIT practices led to a 15% reduction in holding costs, freeing up capital for other business initiatives.
• Enhanced Supply Chain Efficiency: Improved supply chain visibility and supplier collaboration helped reduce lead times, improve service levels, and enhance overall supply chain efficiency.

Challenges in Optimising Working Capital

1. Data Availability and Accuracy

Data is critical for working capital optimisation, from demand forecasting to supplier performance monitoring. However, many organisations struggle with data availability and accuracy. Ensuring that data is accurate, up-to-date, and accessible is crucial for making informed decisions and optimising working capital.

2. Balancing Inventory Levels with Service Levels

While reducing inventory levels is important for optimising working capital, it should not come at the expense of service levels. Businesses must balance inventory optimisation with maintaining or improving customer service to ensure that they can meet customer demand without stockouts.

3. Supplier Engagement

Optimising working capital often requires close collaboration with suppliers to align inventory levels, reduce lead times, and optimise payment terms. Engaging suppliers and gaining their commitment can be challenging, particularly if suppliers are not willing to adjust their processes or timelines.

4. Resistance to Change

Implementing working capital optimisation initiatives often requires changes to existing processes, systems, and behaviours. Resistance to change from employees or stakeholders can be a significant challenge. Effective change management, including communication, training, and incentives, is essential for overcoming resistance and ensuring the successful implementation of working capital optimisation initiatives.

Optimising working capital through effective supply chain and inventory management is essential for CFOs in Australia and New Zealand looking to improve cash flow, reduce costs, and enhance operational efficiency. By adopting strategies such as inventory optimisation, just-in-time practices, supply chain visibility, and leveraging digital tools, businesses can achieve significant improvements in working capital efficiency.

Whether it's reducing excess inventory, improving supply chain collaboration, or leveraging technology for real-time visibility, working capital optimisation enables businesses to free up cash, reduce holding costs, and improve financial flexibility. Despite the challenges, the benefits of working capital optimisation make it a worthwhile investment for businesses looking to improve their bottom line and achieve supply chain excellence.

Ready to optimise your working capital and enhance supply chain efficiency? Trace Consultants is here to help you navigate the complexities of working capital management and develop a tailored solution that meets your unique business needs.

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Sales and Operations Planning (S&OP) for Pharmaceutical Companies

Sales and Operations Planning (S&OP) is a vital process for pharmaceutical companies, ensuring that supply and demand are balanced, resources are optimised, and business goals are achieved. With the complexities inherent in the pharmaceutical industry, an effective S&OP process can significantly enhance operational efficiency, reduce costs, and improve service levels. This article delves into the essentials of S&OP for pharmaceutical companies, outlining what sets up an S&OP project for success, the steps involved, and how Trace Consultants can provide expert guidance.

Understanding the Importance of S&OP in Pharmaceuticals

Pharmaceutical companies operate in a highly regulated and competitive environment. The need for precise demand forecasting, inventory management, and supply chain coordination is paramount. S&OP provides a framework that aligns all these elements, facilitating better decision-making and strategic planning. The benefits of a robust S&OP process in the pharmaceutical industry include:

• Improved Forecast Accuracy: Enhanced demand planning and forecasting lead to better inventory management and reduced stockouts or overstock situations.
• Operational Efficiency: Streamlined processes and optimised resource allocation improve overall operational efficiency.
• Regulatory Compliance: Coordinated planning ensures adherence to stringent regulatory requirements and minimises compliance risks.
• Cost Reduction: Efficient supply chain management and inventory optimisation result in significant cost savings.
• Enhanced Collaboration: S&OP fosters cross-functional collaboration, aligning sales, operations, finance, and other key departments towards common business objectives.

Key Elements of a Successful S&OP Project

Implementing a successful S&OP process in a pharmaceutical company involves several critical elements. These include executive sponsorship, cross-functional collaboration, data integration, technology utilisation, and continuous improvement.

1. Executive Sponsorship

Strong leadership and commitment from top executives are crucial for the success of an S&OP project. Executive sponsorship ensures that the S&OP process is aligned with the company’s strategic goals and receives the necessary resources and support.

2. Cross-Functional Collaboration

S&OP requires the involvement of multiple departments, including sales, marketing, operations, finance, and supply chain. Effective collaboration and communication among these teams are essential to create a cohesive plan that addresses all aspects of the business.

3. Data Integration and Accuracy

Accurate and timely data is the backbone of an effective S&OP process. Integrating data from various sources, such as sales forecasts, inventory levels, and production schedules, provides a comprehensive view of the business and enables informed decision-making.

4. Technology and Tools

Leveraging advanced planning tools and technology can significantly enhance the efficiency and accuracy of the S&OP process. Tools like Microsoft Power Apps and Power BI enable data integration, scenario analysis, and real-time monitoring, facilitating quick responses to changing market conditions.

5. Continuous Improvement

S&OP is not a one-time project but an ongoing process that requires continuous monitoring, evaluation, and improvement. Regular reviews and feedback loops help identify areas for enhancement and ensure that the S&OP process remains aligned with the company’s evolving needs.

Steps Involved in Implementing S&OP in Pharmaceutical Companies

The implementation of S&OP in pharmaceutical companies involves a series of structured steps, each contributing to the overall success of the process. These steps include:

1. Preparation and Planning

The first step in implementing S&OP is to establish a clear plan and define the objectives, scope, and timeline of the project. This involves identifying the key stakeholders, securing executive sponsorship, and forming a cross-functional S&OP team.

2. Data Collection and Integration

Collecting and integrating data from various sources is critical for creating an accurate and comprehensive S&OP plan. This includes gathering historical sales data, demand forecasts, inventory levels, production schedules, and financial data.

3. Demand Planning

Demand planning involves forecasting future sales based on historical data, market trends, and customer insights. This step is crucial for aligning production and inventory levels with expected demand.

4. Supply Planning

Supply planning involves creating a detailed plan for production, procurement, and distribution to meet the forecasted demand. This step ensures that the necessary resources are available to fulfil customer orders while minimising costs.

5. Pre-S&OP Meeting

In the pre-S&OP meeting, the cross-functional team reviews the demand and supply plans, identifies potential gaps or issues, and develops scenarios and contingency plans. This meeting is essential for aligning all departments and ensuring that the plan is feasible and realistic.

6. Executive S&OP Meeting

The executive S&OP meeting is the final step in the process, where the senior leadership team reviews and approves the S&OP plan. This meeting ensures that the plan aligns with the company’s strategic goals and receives the necessary resources and support for execution.

Leveraging KPIs and Automated Dashboards

Key Performance Indicators (KPIs) and automated dashboards are instrumental in the successful implementation and management of an S&OP process. They provide visibility into performance metrics, enable real-time monitoring, and facilitate data-driven decision-making.

1. Defining KPIs

KPIs are essential for measuring the effectiveness of the S&OP process. Key KPIs for pharmaceutical companies may include:

• Forecast Accuracy: Measures the accuracy of demand forecasts compared to actual sales.
• Inventory Turnover: Indicates how efficiently inventory is being managed.
• Service Level: Tracks the ability to meet customer demand without stockouts.
• Production Plan Adherence: Measures the alignment of actual production with the production plan.
• Supply Chain Costs: Monitors costs associated with procurement, production, and distribution.

2. Implementing Automated Dashboards

Automated dashboards provide a real-time view of KPIs, facilitating quick and informed decision-making. Leveraging low-code/no-code solutions like Microsoft Power Apps and Power BI, pharmaceutical companies can create customised dashboards that integrate data from various sources and provide actionable insights.

• Microsoft Power BI: Offers robust data visualisation capabilities, enabling the creation of interactive and dynamic dashboards. Power BI can integrate data from multiple systems, providing a holistic view of the S&OP process.
• Microsoft Power Apps: Allows for the development of custom applications with minimal coding. Power Apps can be used to streamline workflows, automate data collection, and enhance collaboration among S&OP teams.

Challenges in S&OP Implementation

Implementing S&OP in pharmaceutical companies can be challenging due to various factors, including:

• Data Quality and Integration: Ensuring accurate and timely data from multiple sources can be difficult, especially in large and complex organisations.
• Change Management: S&OP requires changes in processes, systems, and behaviours, which can face resistance from employees and departments.
• Alignment and Collaboration: Achieving alignment and collaboration among different departments with varying priorities and goals can be challenging.
• Regulatory Compliance: Ensuring that the S&OP process adheres to regulatory requirements adds an additional layer of complexity.

How Trace Consultants Can Help

Trace Consultants specialises in supporting pharmaceutical companies with their S&OP processes, offering a range of services to ensure successful implementation and continuous improvement. Here’s how Trace Consultants can assist:

1. Expert Guidance and Best Practices

Trace Consultants bring extensive experience and industry knowledge to guide pharmaceutical companies through the S&OP implementation process. They provide best practices, tailored strategies, and practical solutions to address specific challenges.

2. Data Integration and Analytics

Trace Consultants assist with data integration and analytics, ensuring that pharmaceutical companies have access to accurate and timely data for informed decision-making. They leverage advanced tools and technologies, including Power BI, to streamline data collection, integration, and analysis.

3. Change Management and Training

Implementing S&OP requires effective change management and training to ensure that all employees understand and adopt the new processes. Trace Consultants provide comprehensive change management strategies and training programs to facilitate a smooth transition.

4. Continuous Improvement and Support

Trace Consultants offer ongoing support and continuous improvement services to ensure that the S&OP process remains aligned with the company’s evolving needs. They conduct regular reviews, provide feedback, and recommend enhancements to optimise the S&OP process.

Sales and Operations Planning (S&OP) is a critical process for pharmaceutical companies aiming to enhance operational efficiency, reduce costs, and improve service levels. By following a structured approach and leveraging expert guidance from Trace Consultants, pharmaceutical companies can successfully implement and sustain an effective S&OP process. With the right strategies, tools, and support, S&OP can drive significant benefits and contribute to the overall success of the business.

For pharmaceutical companies looking to embark on their S&OP journey, Trace Consultants offer the expertise and resources needed to achieve operational excellence and strategic alignment. Embrace S&OP, utilise KPIs, leverage automated dashboards, and transform your pharmaceutical operations for a more efficient and competitive future.

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