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

July 31, 2024

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.

Related Insights

Planning, Forecasting, S&OP and IBP
June 19, 2023

Accelerating Integrated Business Planning through Cutting-Edge Technologies in Australia's Business Environment

Exploring IBP and Advanced Planning Systems

IBP and Advanced Planning Systems

With economic uncertainty marking the global business landscape, Australian supply chain leaders are confronted with complex challenges. Unpredictable markets, trade volatility, and changing consumer behaviours necessitate strategic resilience and sustained profitability. Integrated Business Planning (IBP), bolstered by cutting-edge advanced planning systems, has emerged as a crucial ally in this endeavour.

Embracing Integrated Business Planning and Advanced Technologies

Integrated Business Planning serves as a comprehensive evolution of traditional Sales and Operations Planning (S&OP), uniting all business components around a cohesive, strategic business plan. By integrating strategic, financial, and operational planning, IBP enables informed decision-making, robust scenario planning, prompt adjustments, detailed trade-off analysis, and precise forecasting. Facilitating these functions are innovative technologies, including Kinaxis, GAINS Systems, Demand Solutions, Anaplan, and RELEX Solutions.

Kinaxis and Scenario Planning

Kinaxis, a global leader in supply chain management software, is renowned for its scenario planning capabilities. Schneider Electric, a multinational energy management company, offers a stellar example of Kinaxis' utility. Following the implementation of Kinaxis' RapidResponse, Schneider Electric reported an impressive 20% reduction in inventory while improving customer service levels by 10%. The ability to model various scenarios and predict outcomes with high accuracy allowed Schneider Electric to respond swiftly to market shifts, substantially enhancing supply chain resilience.

GAINS Systems and Real-Time Decision Making

GAINS Systems is globally acclaimed for its advanced decision-making capabilities, and its impact on Australia's transportation infrastructure company, Aurizon, is testament to this. By adopting GAINS, Aurizon streamlined their strategic planning process, significantly enhancing real-time decision-making. The system's robust analytics resulted in a 15% reduction in stock holdings, thereby optimising inventory and improving product availability amidst fluctuating demand.

Logility (Demand Solutions) and Trade-Off Analysis

Logility (Demand Solutions), known for its extensive trade-off analysis capabilities, played a pivotal role in the operations of Allnex, an Global manufacturer based in Botany NSW. By leveraging Demand Solutions, Allnex conducted a meticulous trade-off analysis, balancing service demands against inventory levels effectively. This led to improved forecast accuracy by 15%, thereby reducing carrying costs, boosting inventory turnover rates, and enhancing customer satisfaction.

Anaplan and Accurate Forecasting

Anaplan, a business planning and performance management specialist, has been instrumental in improving the forecasting accuracy for numerous organisations. One such organisation is Coca-Cola Amatil, one of the largest bottlers and distributors of non-alcoholic and alcoholic ready-to-drink beverages in the Asia-Pacific region. By adopting Anaplan's platform, Coca-Cola Amatil enhanced their demand planning process, reducing forecast error by 20%. The result was decreased stockouts and overstock situations, improving overall operational efficiency and profitability.

RELEX Solutions and Integrated Business Planning

RELEX Solutions, an expert in unified retail planning, made a significant impact on Coles, one of Australia's largest supermarket chains. By implementing RELEX's platform, Coles integrated their entire supply chain, from demand forecasting to automatic replenishment. This integration led to a 20% improvement in forecast accuracy and a 30% reduction in stockouts, resulting in better inventory management, increased availability, and heightened customer satisfaction.

Today's challenging economic climate underlines the need for Australian supply chain leaders to prioritise Integrated Business Planning. By employing advanced planning technologies such as Kinaxis, GAINS Systems, Logility (Demand Solutions), Anaplan, and RELEX Solutions, companies can enhance scenario planning, real-time decision-making, trade-off analysis, and forecasting. As illustrated by the experiences of Schneider Electric, Aurizon, Allnex, Coca-Cola Amatil, and Coles, these investments not only enable organisations to navigate uncertainties but also lay the foundation for success in the challenging Australian business environment.

When it comes to the intricacies of supply chain management, these case studies serve as a reminder that advanced planning systems can transform the way organisations operate, making them more resilient, agile, and competitive. In an increasingly volatile market, these tools are not just nice-to-haves, they're necessities that can dictate the difference between merely surviving and thriving.

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

Planning, Forecasting, S&OP and IBP
February 12, 2024

What Is Demand Planning, and How Can It Improve the Supply Chain?

Demand planning is a multi-step process that involves forecasting future demand based on historical data, market trends, and various influencing factors.

Demand planning is a multi-step process that involves forecasting future demand based on historical data, market trends, and various influencing factors. The objective is to align the supply chain with anticipated demand, ensuring that products are available when and where they are needed.

At its core, demand planning is about predictive analytics and informed decision-making. This process enables businesses to anticipate fluctuations in demand, identify patterns, and allocate resources efficiently. It bridges supply and demand, helping organisations avoid excess inventory or stockouts. This ultimately enhances overall operational efficiency.

Aspects of Demand Planning

Demand planning is a comprehensive process that involves various elements to ensure the smooth functioning of the supply chain. Here are some key aspects:

Forecast Model

A robust demand planning process relies heavily on accurate forecast models. These models use historical data, market analysis, and other relevant variables to predict future demand patterns. Advanced algorithms and data analytics tools are crucial in creating reliable forecast models, enabling businesses to make informed decisions.

Demand Planners

Skilled professionals, known as demand planners, are instrumental in the demand planning process. These individuals possess the expertise to interpret data, analyse market trends, and collaborate with various stakeholders to create realistic demand forecasts. Their role is predicting future demand and continuously refining and adjusting forecasts as new data becomes available.

Product Portfolio Management

Demand planning involves meticulous management of a company's product portfolio. It necessitates understanding the unique demand patterns of different product lines, ensuring optimal stock levels, and aligning production with market needs. Strategic product portfolio management enhances overall supply chain agility and responsiveness.

Why Is Demand Planning Important?

Demand planning is not merely a technicality; it is the anchor holding together various facets of supply chain management. Its significance can be distilled into several key points:

Customer Satisfaction

A primary goal of demand planning is to enhance customer satisfaction. A proven way businesses can encourage loyalty is by ensuring that products are readily available when customers want them. Consistently meeting customer expectations leads to positive reviews, repeat business, and increased brand reputation.

Trade Promotion Management

Effective demand planning is crucial for the success of trade promotions. It helps businesses align promotional activities with expected demand, preventing excessive stock or stockouts during promotional periods. This synchronisation ensures that promotional efforts yield maximum impact.

Supply Chain Forecasts

Demand planning acts as a compass for the supply chain. Accurate forecasts enable organisations to optimise inventory levels, streamline production, and minimise waste. This, in turn, results in cost savings and improved overall supply chain efficiency.

Real-Time Decision-Making

In today's fast-paced business environment, real-time decision-making is non-negotiable. When integrated with real-time data analytics, demand planning empowers businesses to make agile decisions. This agility is particularly valuable in responding to sudden shifts in market conditions or unexpected demand spikes.

Best Practices for Demand Planning

Implementing demand planning best practices is essential for achieving optimal results. Here are some key strategies:

Use of Enterprise Resource Planning (ERP) Systems

Integrating demand planning with ERP systems can streamline the entire process. ERP systems enable real-time data access, facilitating quick decision-making and adjustments based on market fluctuations.

Trade Promotion Management

Demand planning goes beyond raw data; it considers the impact of trade promotions on product demand. Effective trade promotion management ensures that promotional activities align with the overall demand forecast.

Real-Time Data Integration

Integrating real-time data into demand planning processes allows businesses to adapt to evolving market conditions, minimising the impact of unforeseen events.

7 Key Steps for Successful Demand Planning

To achieve successful demand planning, organisations can follow a structured approach with these steps:

  • Data Collection and Analysis

The foundation of demand planning is built on accurate and comprehensive data. Organisations need to collect and analyse historical data, market trends, and other relevant information to create a solid basis for forecasting.

  • Collaboration Across Departments

Demand planning is not an isolated function; it requires collaboration across various departments, such as sales, marketing, and production. When you foster open communication, you encourage the exchange of valuable insights, leading to more accurate forecasts.

  • Real-Time Monitoring

Leveraging technology and data analytics tools allow businesses to promptly track changes in demand patterns and adjust their strategies accordingly.

  • Integration with ERP Systems

Seamless integration with enterprise resource planning systems enhances the effectiveness of demand planning. ERP systems provide a centralised platform for data management, enabling organisations to make informed decisions based on real-time information.

  • Sales and Operations Planning (S&OP)

Harmonising sales and operations planning is crucial for effective demand planning. Organisations can avoid bottlenecks, reduce lead times, and enhance operational efficiency by aligning sales forecasts with production and distribution plans.

  • Scenario Planning

Anticipating various scenarios and developing contingency plans is a key step in demand planning. This proactive approach prepares organisations to respond swiftly to unforeseen events, such as market disruptions or supply chain challenges.

  • Continuous Improvement

Demand planning is an iterative process. Regularly reviewing and refining forecasting models based on actual performance and market feedback ensures continuous improvement. This is essential for staying ahead in an ever-changing business landscape.

The Future of Demand Planning in the Supply Chain

As industries evolve and technology advances, the future of demand planning holds exciting possibilities. Several trends shape the landscape and influence how organisations approach this supply chain management process.

Embracing Real-Time Capabilities

The future of demand planning lies in harnessing real-time capabilities. Advanced analytics and artificial intelligence enable organisations to analyse data instantaneously, providing a more accurate and responsive approach to demand forecasting.

Machine Learning and Predictive Analytics

Machine learning algorithms and predictive analytics are becoming integral to demand planning. These technologies can analyse vast datasets, identify patterns, and make predictions with accuracy that surpass traditional methods.

Enhanced Collaboration Through Technology

Collaboration is set to become even more seamless with advanced technologies. Cloud-based platforms and collaborative tools will enable real-time sharing of data and insights, fostering better communication between departments and supply chain partners.

Integration with Sustainable Practices

As sustainability becomes a central business focus, demand planning will integrate environmentally conscious practices. Organisations will factor in the environmental impact of their supply chain decisions, ensuring that sustainability is a key consideration in demand forecasting and planning.

Supply Chain Visibility and Transparency

Demand planning will benefit from increased supply chain visibility and transparency. By leveraging technologies like blockchain, organisations can create a more transparent and traceable supply chain, reducing the risk of disruptions and enhancing overall reliability.

trace. envisions a future where demand planning transcends its current capabilities. trace. aims to empower businesses to anticipate and adapt to market changes with unparalleled agility.

Revolutionising Supply Chains Through Effective Demand Planning

As demand planning evolves, it becomes increasingly evident that its impact extends beyond operational efficiency. For trace., a workforce planning consulting firm, demand planning is not just a process but a commitment to sustainable value. By focusing on measurable sustainability outcomes, even when service and costs are prioritised, trace. contributes to the creation of supply chains that are carbon-conscious, transparent, ethical, and circular. Contact us today at enquiries@traceconsultants.com.au

Planning, Forecasting, S&OP and IBP
March 3, 2025

Demand Planning in Australian Retail: Scale, Transform, and Cut Costs

In this article, we’ll unpack why it’s a game-changer, the unique challenges Australian retailers face, and a practical playbook to turn forecasting into a competitive advantage. Whether you’re steering a supermarket chain, a fashion label, or a hardware giant, here’s how to make demand planning work for you in 2025 and beyond.

Demand Planning in Australian Retail: A Strategic Lever for CEOs and CFOs to Scale, Transform, and Cut Costs

Published: March 01, 2025

If you’re a CEO or CFO leading a retail business in Australia or New Zealand, you’re no stranger to the high-wire act of balancing customer satisfaction, operational efficiency, and profitability. The ANZ retail landscape is a complex tapestry—vast distances, omnichannel demands, and consumers who can swing from bargain-hunting to premium splurges in a heartbeat. In this environment, demand planning isn’t just a tactical exercise; it’s a strategic linchpin that can make or break your ambitions.

At its essence, demand planning is about predicting customer demand—what they’ll buy, when, and where—and aligning your supply chain to deliver it seamlessly. Get it right, and you unlock leaner operations, delighted customers, and stronger margins. Get it wrong, and you’re saddled with excess stock draining cash or empty shelves pushing shoppers elsewhere. For ANZ retail leaders aiming to scale, transform, or slash costs, demand planning is your ace in the hole.

In this article, we’ll unpack why it’s a game-changer, the unique challenges Australian retailers face, and a practical playbook to turn forecasting into a competitive advantage. Whether you’re steering a supermarket chain, a fashion label, or a hardware giant, here’s how to make demand planning work for you in 2025 and beyond.

Why Demand Planning Matters More Than Ever in ANZ Retail

ANZ retail is a $400 billion-plus powerhouse, blending the resilience of physical stores with e-commerce’s unstoppable growth—now over 15% of total sales. But it’s a turbulent ride. Economic uncertainty, shifting consumer habits, and sprawling logistics networks demand precision planning.

For CEOs, it’s about agility—scaling into new regions or pivoting with trends. For CFOs, it’s about the numbers—optimizing working capital, cutting waste, and safeguarding profits in a cost-squeezed market. The stakes are high: overstock ties up millions, while stockouts erode loyalty. In a region where goods might trek 3,000 kilometers from port to remote store, errors hit hard.

What’s fueling this urgency? Four key forces:

1. Consumer Volatility

Australians and Kiwis are pragmatic yet fickle. Post-pandemic, value players like Aldi soar, but younger shoppers crave sustainable, bespoke products. Seasonal surges—Christmas, EOFY—keep you on your toes.

2. Supply Chain Complexity

Australia’s geography means long lead times and steep transport costs. Ports like Melbourne and Auckland are pressure points, and global disruptions (think 2021 shipping chaos) amplify the pain. NZ’s island logistics add another twist.

3. Cost Pressures

Inflation, labor shortages, and rising fuel prices are relentless. Demand planning must deliver efficiency—avoiding overstock markdowns or costly last-minute restocks.

4. The Digital Shift

E-commerce brings returns (20-30% in some categories) and delivery demands—same-day, click-and-collect—that legacy forecasts struggle to match.

Demand planning is your C-suite lifeline. Let’s dive into how to master it.

The ANZ Demand Planning Playbook: Strategies for Success

Demand planning marries data, collaboration, and technology into a disciplined process. Here’s your roadmap, tailored to scaling, transforming, or cutting costs.

Step 1: Build a Data-Driven Foundation

Accurate forecasts demand robust data—sales histories, market signals, even weather quirks (a Sydney storm can tank BBQ sales). Too many ANZ retailers limp along with siloed spreadsheets or clunky systems.

For CEOs Aiming to Scale: Unify data across channels to spot growth pockets—like a fitness gear surge in Auckland.
For CFOs Cutting Costs: Identify high-flyers and prune flops—one retailer we know cut holding costs 15% this way.
Pro Tip: AI and machine learning chew through vast datasets, flagging trends—like a camping boom in WA—faster than any analyst.

Step 2: Embrace Cross-Functional Collaboration

Demand planning isn’t a solo gig. Supply chain runs the numbers, but sales, marketing, and finance must weigh in. In ANZ’s patchwork markets, misalignment is a killer.

For Transformation-Minded CEOs: Roll out Sales & Operations Planning (S&OP)—monthly huddles that slash forecast errors by up to 30%, per global stats.
For Cost-Focused CFOs: Sync marketing’s promo plans with supply to dodge expensive fixes—like air freighting stock from China.
Case in Point: An ANZ grocer looped store managers into S&OP, cutting Christmas stockouts by 20%.

Step 3: Tailor Forecasts to ANZ’s Unique Market

Blanket forecasts don’t cut it here. You need granularity—seasonality, cultural quirks (Boxing Day blowouts), and urban-rural divides.

For Scaling Leaders: Segment by region and channel. A skincare brand might soar online in Melbourne but stall in-store in Christchurch.
For Transformation Seekers: Scenario-plan for disruptions—floods, port delays—and preposition stock to shrink lead times.
Cost-Saving Angle: Match supply to local demand—don’t flood Darwin’s wet season with outdoor gear.

Step 4: Leverage Technology for Agility

Data lays the groundwork; tech brings it to life. Advanced Planning Systems (APS), Warehouse Management Systems (WMS), and Transport Management Systems (TMS) are your arsenal. APS, in particular, is a game-changer—let’s dive deeper.

APS tools harness AI, real-time data, and algorithms to turbocharge demand planning. They shrink forecast windows, optimize inventory, and adapt to ANZ’s quirks—long hauls, seasonal spikes, and omnichannel chaos. Here’s a closer look at some standout options, including our own Trace Consultants .Planner Solution:

  • Trace Consultants .Planner Solution
    Our homegrown APS (https://www.traceconsultants.com.au/solutions#planner) is built for ANZ realities. It integrates demand forecasting, inventory optimization, and replenishment planning into a single platform, with a focus on pragmatic, actionable insights. A mid-tier ANZ retailer used .Planner to streamline S&OP, cutting forecast errors by 20% and boosting stock availability during EOFY sales. For CEOs scaling, it’s a local lens on growth; for CFOs, it’s a cost-saver that trims waste without compromise.
  • GAINS Systems
    GAINS is a cloud-based APS excelling in demand sensing and inventory optimization. Its AI crunches daily data to predict short-term shifts—like a sudden BBQ grill rush in Queensland—and adjusts plans on the fly. An ANZ hardware chain slashed overstock by 15% using GAINS, freeing up capital for expansion. It’s a scalability booster for CEOs and a lean-machine for CFOs.
  • RELEX Solutions
    RELEX is a retail-focused APS powerhouse, blending forecasting, replenishment, and supply chain planning. A major ANZ supermarket chain tapped RELEX to handle fresh goods volatility—think avocados in summer—cutting waste by 25% and lifting service levels. Transformation leaders love its end-to-end integration; cost-cutters bank on its precision to avoid markdowns.
  • O9 Solutions
    O9’s AI-driven platform shines in scenario planning and real-time collaboration. A fashion retailer used O9 to model a port strike’s impact, rerouting stock from Sydney to Brisbane preemptively, saving weeks in delays. For CEOs transforming supply chains, it’s a strategic Swiss Army knife; for CFOs, it minimizes costly surprises.
  • SAP Integrated Business Planning (IBP)
    SAP IBP offers robust demand sensing and S&OP tools. An electronics retailer cut forecast errors by 25% with SAP, nailing a pre-Christmas console surge. It’s a growth enabler for CEOs and a cash-flow protector for CFOs.
  • Blue Yonder (formerly JDA)
    Blue Yonder’s APS tackles e-commerce chaos—like 30% apparel returns—with AI-driven accuracy. A fashion chain reduced overstock by 20%, a win for transformation and cost goals alike.
  • Oracle NetSuite Planning and Budgeting
    NetSuite’s lighter APS suits growing firms. An outdoor retailer optimized stock across 50 stores, cutting slow-movers by 18%. It’s scalable and budget-friendly.
  • For Growth-Driven CEOs: Tools like GAINS or O9 sense trends—like a TikTok-fueled gadget craze—letting you leapfrog rivals.
  • For Transformation Leaders: RELEX or .Planner unify your supply chain, enabling feats like same-day delivery—think a furniture chain dropping lead times from weeks to days.
  • For CFOs Eyeing Savings: SAP or NetSuite automate replenishment, slashing labor and inventory costs—one appliance retailer saved 25% on warehousing.
  • Implementation Tip: Start small—pilot RELEX in perishables or .Planner in one region. Prove the ROI, then scale. Pair with WMS and TMS for real-time agility, like rerouting stock mid-transit during a Black Friday surge.

APS isn’t a luxury—it’s a necessity for ANZ’s retail battlefield. The right tool turns forecasts into profits.

Step 5: Tackle the Returns Challenge

E-commerce returns—20-30% in some categories—sting hard with ANZ’s shipping costs.

For Scaling Businesses: Centralize returns hubs, like Cotton On, to speed restocking.
For Transformation Goals: Forecast returns by SKU—shirts outpace appliances—and tweak buffers.
For Cost Cutters: Optimize reverse logistics with bulk carriers or resell via platforms like Catch.

The Payoff: Scaling, Transforming, and Saving with Demand Planning

Scaling Your Business

Precise forecasts drive growth. A sporting goods chain scaled from 50 to 150 stores, using GAINS to target high-demand zones like NZ’s South Island.

Transforming Your Supply Chain

A responsive supply chain needs planning. A homewares retailer paired O9 with S&OP, cutting lead times 40% and launching next-day delivery.

Cutting Costs

Lean stock saves money. A fashion brand used RELEX to trim excess by 18%, boosting margins without discounts.

Overcoming ANZ-Specific Challenges

Challenge 1: Distance and Lead Times

Solution: Preposition stock in hubs (e.g., Perth for WA) and source from nearer hubs like Indonesia.

Challenge 2: Demand Volatility

Solution: Use APS like .Planner or GAINS for weekly demand tweaks.

Challenge 3: Tech Adoption Lag

Solution: Pilot O9 or NetSuite in one category—prove it, then expand.

The Future of Demand Planning in ANZ Retail

AI will sharpen forecasts—predicting styles, not just volumes. Sustainability will steer plans, tracking emissions and ethics. Omnichannel will demand seamless tech. Demand planning is your edge.

Your Next Move

Audit your demand planning—data holes, team silos, tech gaps. Are forecasts guesswork? Is your APS lagging?

At Trace Consultants, we’ve honed tools like .Planner and guided ANZ retailers—from grocers to fashion—to demand planning wins: growth, resilience, savings. Start with a pilot, scale with confidence, and make 2025 your breakout year.