Closing the Supply Chain Planning Capability Gap

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Has it become normal in your organisation to rely on emergency processes, like expediting or airfreighting, rather than the exception? Are your employees struggling to provide consistent customer service, despite full warehouses of stock, or working additional hours? Many businesses today face similar challenges.  

Rising mistrust in systems, use of manual overrides, and continual underperformance of new product launches signal inefficiencies within supply chains. This misalignment often leads to high levels of waste, lost sales, and diminished customer trust. Addressing these challenges requires not only identifying the symptoms but also taking a deeper dive into the root causes of supply chain misalignment. In this article, we focus on ways to identify the root causes of these problems, and how to take a structured approach to resolving them.

Common Indicators of Supply Chain Misalignment

Supply chain misalignment is often evident through symptoms that disrupt business efficiency.  Key signs include:

• Rising use of overtime: Either at DCs or Plants, issues are being resolved with extra unplanned labour

• High levels of write-offs and waste: Inventory planning gaps leading to obsolete or expired stock

• Exceptions becoming the norm: Regular use of more expensive options to meet demand such as air freighting or transferring stock between locations

• Distribution centres (DCs) at capacity with lost sales: DC operations are overwhelmed yet unable to meet demand

• Eroding trust: A lack of confidence from suppliers and customers

• Mistrust in systems: Heavy reliance on human intervention and excessive manual checks  

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Getting to the Root Cause of Supply Chain Misalignment

To truly resolve inefficiencies in supply chain operations, it’s essential to go beyond surface-level issues and identify the root causes. Misalignments can stem from a combination of structural gaps and foundational capability weaknesses, which collectively impact overall performance. By dissecting these core elements, organisations can begin to understand the critical factors holding back their supply chain from optimal functionality.

Foundational Capabilities

1. People: Does your organisation depend heavily on a few key individuals? Not only does this increase operational risk if those individuals are unavailable or leave the organisation, it can impede the organisation’s ability to undertake strategic projects

2. Processes: Are supply chain processes well-defined and followed consistently? Knowledge sharing, documenting of processes and upskilling of the whole team is critical for delivering quality outcomes.

3. Technology: Are current systems and tools fully integrated, and do they streamline key processes to support your supply chain? Relying on outdated or disconnected technologies can prevent seamless planning and execution.

4. Data & Insights: Is your data accurate and timely? Are you spending more time collecting data than analysing it? Without reliable data, supply chain decisions may be based on incorrect assumptions, leading to misaligned strategies.

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Structural Enablers  

1. Organisational Structure: Are roles and responsibilities within your supply chain clearly defined and aligned with your business model? An unbalanced structure can lead to inefficiencies or misalignment of goals and initiatives across the organisation.

2. Governance: How are supply chain decisions made, and are they aligned with the broader business strategy? Effective governance is essential for coordinating activities across the supply chain and ensuring compliance with best practices.  

3. KPIs & Incentives: What behaviours are being driven by your current KPIs and incentive structures? Misaligned KPIs can encourage actions that may benefit short-term performance but harm long-term goals, such as overemphasis on production speed at the cost of quality or customer satisfaction. Are the right performance metrics in place to encourage collaboration, efficiency, and innovation across your supply chain?

A Structured Approach to Supply Chain Planning Improvements

Effective supply chain transformation is rooted in a structured approach, designed to diagnose, design, develop, and deliver the necessary changes.

1. Diagnose

          The first step in any improvement initiative is diagnosing the current state of your supply chain.  Key activities in this phase include:

• Business process discovery

• Issue, inefficiency, and bottleneck identification

• Root cause analysis

• Impact quantification

2. Design

          Once the root causes are identified, the next step is to design tailored solutions that address those gaps. Key activities may include:

• Target state capabilities determination

• Business process and capability roadmap development

• Solution architecture design

• Business case creation

3. Develop

          After designing the necessary improvements, the focus shifts to developing the solution. This involves the hands-on building and testing of new processes, systems, or tools. Key activities in this phase include:

• Solution build and test

• Capability development

• Pilot testing and deployment planning

4. Deliver

          The final phase is delivering the solution across the entire organisation. This requires careful management to ensure that the improvements are fully implemented and deliver the expected results. Key activities to support this phase include:

• Project management and implementation support

• Change management

• Results delivery and value realisation

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Building the Business Case for Change

A robust business case forms the backbone of any successful supply chain transformation. This involves quantifying the expected benefits of improved planning capabilities.

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1. Current Capability Analysis: Evaluate the existing supply chain planning capabilities across people, processes, policies, and technology.

2. Gap Modelling: Compare the organisation’s current capabilities to improved practices, suitable to the organisations size, investment appetite and perceived ROI, identifying the areas with the most potential for improvement.

3. Targeted Business Case: Develop a business case that targets the most critical capability gaps and outlines the expected ROI.

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Typical benefits of improving supply chain planning include:

• Revenue Growth: Increased sales through improved availability and forecasting.

• Cost Reduction: Lower inventory carrying costs and a healthier mix of inventory, reducing waste and obsolescence.

• Operational Efficiency: Better labour utilisation and fewer emergency orders due to enhanced capacity management.

• Optimised Working Capital: Streamlined inventory levels, supported by improved planning processes.

Next steps

Trace Consultants have the flexibility, knowledge, and experience to provide hands-on support across any or all steps in the Supply Chain Planning Improvement process. If your organisation is experiencing any of these symptoms or seeking ways to unlock value in your supply chain, contact the trace. team today.

Fast Moving Consumer Goods (FMCG) companies are operating in an increasingly competitive and ever-evolving market, necessitating efficient and cost-effective business operations. Now more than ever, FMCG leaders in Australia must harness the power of Integrated Business Planning (IBP) and Advanced Planning Systems (APS) to steer their organisations towards sustained profitability and improved service delivery. This article will delve into how Australian CEOs can effectively implement these modern strategies and systems to optimise performance, reduce costs, and elevate service levels.

The Power of Integrated Business Planning

IBP is a holistic and coordinated approach to business planning that aligns operational plans across various business functions with financial plans and corporate strategy. It can deliver significant advantages in the highly competitive FMCG sector by driving cross-functional alignment, improving forecast accuracy, reducing stockouts and overstocks, and enhancing decision-making.

Involving Key Stakeholders

Effective IBP starts with engaging key stakeholders across all business functions, including sales, operations, finance, and supply chain. By promoting a unified view of the organisation's objectives, this inclusivity facilitates better decision-making and ensures the alignment of individual goals with the overall corporate strategy.

Implementing Standardised Processes

Standardisation in IBP implementation is crucial for ensuring consistency and achieving measurable results. A uniform approach allows for the comparison of data across different segments, divisions, or geographical areas, enabling better monitoring, benchmarking, and optimisation of operational efficiency.

Fostering a Culture of Continuous Improvement

Incorporating continuous improvement in your IBP model can help to identify areas of inefficiency, reduce waste, and streamline processes. This strategy drives a culture of ongoing learning, adaptation, and enhancement, ensuring your organisation stays agile and competitive.

Advanced Planning Systems: An Essential Tool

Advanced Planning Systems are a vital component of a successful IBP strategy. These sophisticated software solutions provide tools for demand planning, inventory optimisation, supply planning, and integrated business planning.

Adopting the Right APS

Choosing the right APS for your organisation is crucial. The system should have features that address your unique challenges, facilitate real-time data access, promote collaborative planning, and deliver predictive analytics for improved forecasting accuracy.

Integrating APS with Existing Systems

For APS to be effective, it needs to be properly integrated with existing IT infrastructure. This ensures seamless data flow between systems, improves accuracy, and reduces the risk of information silos.

Training and Support

Proper training and ongoing support are crucial to leveraging APS's full potential. The right vendor should provide comprehensive training and round-the-clock support to ensure the system is used effectively and any issues are promptly addressed.

By mastering the art of integrated business planning and leveraging advanced planning systems, FMCG companies can achieve their objectives in cost reduction and improved service levels. Australian CEOs should remember that successful implementation involves stakeholder engagement, standardisation, continuous improvement, and the right choice and effective integration of APS.

The FMCG market is a challenging terrain, but with the right planning tools and strategies, CEOs can navigate their organisations to a position of competitive advantage, driving growth, profitability, and customer satisfaction in an ever-evolving business landscape.

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Contact us today, trace. your supply chain consulting partner.

Leveraging Technology to Streamline Finance and Operations

In today's dynamic business environment, CFOs across sectors such as retail, manufacturing, healthcare, and FMCG are constantly looking for ways to streamline finance and operational processes to improve efficiency and reduce costs. Advanced technologies such as automation, artificial intelligence (AI), and data analytics are transforming the way businesses operate, enabling CFOs to enhance visibility, improve decision-making, and optimise resource allocation.

In this comprehensive article, we will explore how CFOs in Australia and New Zealand can leverage technology to streamline finance and operations. We will discuss the benefits of digital transformation initiatives, including the implementation of enterprise resource planning (ERP) systems, and provide examples of how businesses have reduced overheads and improved decision-making through technology.

The Role of Technology in Finance and Operations

Technology is revolutionising finance and operations by automating routine tasks, providing real-time insights, and enabling data-driven decision-making. By leveraging technology, CFOs can enhance operational efficiency, reduce manual errors, and focus on strategic initiatives that drive business growth.

Key Benefits of Leveraging Technology

1. Improved Efficiency: Automation and AI reduce the time and effort required for routine tasks, allowing finance teams to focus on more strategic activities.
2. Cost Reduction: Streamlining processes through technology helps reduce overheads, minimise errors, and optimise resource allocation.
3. Enhanced Visibility: Digital tools provide real-time visibility into financial and operational metrics, enabling CFOs to make informed decisions.
4. Data-Driven Decision Making: Advanced analytics tools provide insights that help CFOs identify trends, optimise processes, and drive business performance.

Key Technologies for Streamlining Finance and Operations

1. Automation and Robotic Process Automation (RPA)

Automation plays a crucial role in streamlining finance and operational processes by reducing the need for manual intervention. Robotic Process Automation (RPA) is a key technology that enables businesses to automate repetitive, rule-based tasks, such as data entry, invoice processing, and reconciliations.

Benefits of Automation and RPA

• Reduced Manual Effort: Automation eliminates the need for manual data entry, reducing the risk of errors and freeing up employees to focus on more value-added activities.
• Improved Accuracy: RPA ensures consistency and accuracy in routine tasks, reducing the likelihood of errors and discrepancies.
• Cost Savings: By automating repetitive tasks, businesses can reduce labour costs and improve overall efficiency.

Examples of Automation in Finance and Operations

• Invoice Processing: RPA can be used to automate invoice processing, from data extraction to validation and payment, reducing processing times and improving accuracy.
• Financial Reconciliations: Automation tools can reconcile accounts, match transactions, and identify discrepancies, streamlining the month-end close process.
• Order Processing: In operations, automation can be used to process orders, update inventory levels, and generate shipping labels, reducing manual intervention and improving efficiency.

2. Artificial Intelligence (AI) and Machine Learning

Artificial Intelligence (AI) and machine learning are transforming finance and operations by providing predictive insights, automating complex processes, and enabling smarter decision-making. AI can analyse large volumes of data to identify patterns, predict trends, and provide actionable insights.

Benefits of AI in Finance and Operations

• Predictive Insights: AI can analyse historical data to predict future trends, such as cash flow, demand, and inventory levels, helping CFOs make informed decisions.
• Fraud Detection: AI can identify unusual patterns in financial transactions, helping businesses detect and prevent fraud.
• Optimised Resource Allocation: Machine learning algorithms can optimise resource allocation, such as workforce planning and inventory management, to improve operational efficiency.

Examples of AI in Finance and Operations

• Cash Flow Forecasting: AI can be used to predict cash flow based on historical data, helping CFOs manage working capital and make strategic financial decisions.
• Demand Forecasting: In operations, AI can analyse customer data to predict demand, enabling businesses to optimise inventory levels and reduce stockouts.
• Expense Management: AI-powered tools can analyse spending patterns, identify cost-saving opportunities, and provide insights into expense management.

3. Data Analytics and Business Intelligence (BI)

Data analytics and business intelligence (BI) tools provide CFOs with real-time insights into financial and operational performance. By analysing data from different parts of the business, CFOs can identify trends, measure performance, and make data-driven decisions.

Benefits of Data Analytics and BI

• Real-Time Visibility: BI tools provide real-time visibility into key financial and operational metrics, helping CFOs monitor performance and take corrective action when needed.
• Informed Decision-Making: Data analytics enables CFOs to make informed decisions based on data-driven insights, improving overall business performance.
• Performance Measurement: BI tools provide dashboards and reports that help CFOs measure performance against key performance indicators (KPIs) and track progress toward business goals.

Examples of Data Analytics in Finance and Operations

• Financial Performance Analysis: BI tools can analyse financial data, such as revenue, expenses, and profitability, to provide insights into business performance and identify areas for improvement.
• Operational Efficiency Metrics: In operations, data analytics can be used to measure efficiency metrics, such as order processing times, inventory turnover, and delivery performance, helping businesses identify bottlenecks and optimise processes.
• Cost Analysis: CFOs can use data analytics to analyse costs across different departments, identify cost-saving opportunities, and optimise spending.

4. Enterprise Resource Planning (ERP) Systems

Enterprise Resource Planning (ERP) systems integrate data from different parts of the business, providing a comprehensive view of financial and operational activities. ERP systems help businesses streamline processes, improve visibility, and enhance decision-making.

Benefits of ERP Systems

• Integrated Data: ERP systems provide a single source of truth by integrating data from finance, operations, procurement, and other functions, improving visibility and control.
• Process Automation: ERP systems automate routine processes, such as purchase orders, approvals, and invoicing, reducing manual effort and improving efficiency.
• Enhanced Decision-Making: ERP systems provide real-time data and insights, enabling CFOs to make informed decisions and optimise business performance.

Examples of ERP in Finance and Operations

• Financial Management: ERP systems provide real-time visibility into financial data, such as revenue, expenses, and cash flow, helping CFOs manage finances more effectively.
• Inventory Management: ERP systems provide visibility into inventory levels, helping businesses optimise stock levels, reduce holding costs, and improve working capital.
• Procurement and Supplier Management: ERP systems streamline procurement processes, from supplier selection to purchase orders and payments, improving efficiency and reducing costs.

Case Study: Digital Transformation for Cost Reduction in an Australian Manufacturing Company

An Australian manufacturing company faced challenges related to high operational costs, manual processes, and limited visibility into financial and operational metrics. The company decided to implement a digital transformation initiative to streamline finance and operations, reduce overheads, and improve decision-making.

Approach

• ERP Implementation: The company implemented an ERP system to integrate data from finance, procurement, and operations, providing a comprehensive view of business activities and improving visibility.
• Automation of Routine Tasks: The company used RPA to automate routine tasks, such as invoice processing and order management, reducing manual effort and improving efficiency.
• AI-Powered Demand Forecasting: The company implemented AI-powered demand forecasting tools to predict customer demand accurately, optimise inventory levels, and reduce stockouts.

Results

• Reduced Overheads: The company achieved a 20% reduction in overheads by automating routine tasks, reducing manual effort, and optimising resource allocation.
• Improved Decision-Making: The ERP system provided real-time visibility into financial and operational metrics, enabling the CFO to make informed decisions and improve overall business performance.
• Enhanced Efficiency: Automation and AI-powered tools helped streamline processes, reduce processing times, and improve overall operational efficiency.

Challenges in Leveraging Technology for Finance and Operations

1. High Initial Investment Costs

Implementing advanced technologies, such as ERP systems, automation tools, and AI, requires a significant initial investment. However, the long-term benefits in terms of cost savings, efficiency gains, and improved decision-making often outweigh these initial costs.

2. Data Integration and Quality

Data integration is critical for leveraging technology effectively. Ensuring that data from different parts of the business is accurate, up-to-date, and accessible is crucial for making informed decisions and optimising processes.

3. Change Management

Implementing digital transformation 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 technology initiatives.

4. Cybersecurity Risks

As businesses become more reliant on digital tools, they also become more vulnerable to cybersecurity risks. CFOs must ensure that appropriate security measures are in place to protect sensitive financial and operational data.

Leveraging technology to streamline finance and operations is essential for CFOs in Australia and New Zealand looking to improve efficiency, reduce costs, and enhance decision-making. By adopting advanced technologies, such as automation, AI, data analytics, and ERP systems, businesses can achieve significant improvements in operational efficiency and financial performance.

Whether it's automating routine tasks, implementing AI-powered demand forecasting, or integrating data through ERP systems, digital transformation enables businesses to optimise processes, reduce overheads, and drive business growth. Despite the challenges, the benefits of leveraging technology make it a worthwhile investment for businesses looking to improve their bottom line and achieve operational excellence.

Ready to leverage technology to streamline your finance and operations? Trace Consultants is here to help you navigate the complexities of digital transformation and develop a tailored solution that meets your unique business needs.

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