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Inventory Optimization-MEIO

Inventory Optimization as a Managed Service is designed to achieve inventory precision and balanced service levels across complex supply chains. Typical outcomes include optimized inventory investments and streamlined resource utilization to maximize profitability or minimize costs. 


Typical improvements include an 8–22% reduction in inventory and a 2–10% increase in service levels compared to any other solution or methodologies.


By leveraging powerful insights and trusted recommendations, we ensure accurate inventory sizing at every location in your network by considering downstream demand, customer needs, and supply reliability.


​Every product behaves differently based on its life cycle—whether it’s new, growing, maturing, or declining—and our service tailors inventory policies for each product’s unique behavior to align with your business objectives. Instead of a "one-size-fits-all" approach based on ​ABC classification, our inventory optimization method differentiates service and inventory targets across products, bill-of-materials levels, and distribution network locations, ensuring you meet customer service goals with maximum efficiency.


Let us help you turn your inventory strategy into a competitive advantage by dynamically aligning inventory levels with evolving demand-supply dynamics, market trends, economic conditions, and other influencing factors.

Maximizing the Impact of S&OP with Planning as a Service

Supply chain planning is a complex process, requiring specialized proficiency and most companies struggle with it. We can help businesses achieve real business outcomes through effective and efficient supply chain planning, and fast. Decision Advantage is a Managed Supply Chain Planning Services that cuts time-to-value and eliminates risk, compared to a traditional software selection process or even working with a large consulting firm. This model assures low up front cost and allows companies to focus their attention on its core competencies. We handle planning, so instead of cleaning and fixing data, your planners focus on analyze and adding value – a better use of your human capital. Decision Advantage offers you the ability to transition from “buy” to “use”.


Sales and Operations Planning (S&OP) is a crucial process for aligning business functions, optimizing resources, and effectively meeting customer demand. To maximize the impact of your S&OP initiatives, consider developing key functional capabilities as a managed service:


 1. Effectively Use Forecasting and Demand Planning in Your S&OP Process

​Precise forecasting and demand planning are the foundation of a successful S&OP process. By leveraging historical data, market trends, and advanced analytics, organizations can:

  • Anticipate customer needs more precisely.
  • Minimize stockouts and excess inventory.
  • Improve service levels and customer satisfaction.

​Y​ou get tools and techniques​ as a Managed Services, such as AI-driven forecasting models, helps identify patterns and adapt to changes in demand, enabling proactive decision-making.


 2. Employ Integrated Business Planning Techniques

Integrated Business Planning (IBP) takes S&OP to the next level by incorporating financial planning and strategic objectives. This holistic approach ensures alignment between:

  • Operational plans and financial goals.
  • Long-term strategies and short-term actions.

IBP enhances visibility across departments, enabling organizations to make informed trade-offs and optimize overall performance. 


3. Enhance Collaboration Across Sales, Marketing, Finance, and Supply Chain

S&OP thrives when all key stakeholders work together. Breaking down silos between sales, marketing, finance, and supply chain fosters:

  • Shared ownership of the planning process.
  • Improved communication and data sharing.
  • Faster identification and resolution of potential issues.

Regular cross-functional meetings and centralized data platforms can streamline collaboration and ensure everyone is working towards common objectives. 


4. Extend S&OP Outside Your Organization and Throughout the Supply Chain

To maximize the benefits of S&OP, extend the process beyond your organization by collaborating with suppliers, distributors, and key customers. This approach:

  • Creates a more resilient supply chain.
  • Improves end-to-end visibility and coordination.
  • Reduces lead times and enhances responsiveness to market changes.

By involving external partners in the planning process, businesses can align goals and build stronger, more agile supply chains.


5. Manage and Mitigate Risk

Risk management is a critical component of S&OP. Identify potential risks—such as supply disruptions, demand variability, or economic shifts—and incorporate mitigation strategies into your plans. This might include:

  • Building buffer stock or alternate sourcing strategies.
  • Scenario planning to evaluate different outcomes and responses.
  • Monitoring key risk indicators to trigger timely action.

A proactive approach to risk management ensures business continuity and minimizes disruptions. 


6. Use S&OP to Enhance New Product Launches

S&OP can play a pivotal role in the success of new product launches. By integrating demand planning, marketing insights, and supply chain readiness, organizations can:

  • ​Precisely forecast initial demand.
  • Ensure timely availability of products in key markets.
  • Align promotional activities with supply capabilities.

This coordination reduces the risk of overproduction or missed opportunities during critical launch phases. 


7. P​roduction & Procurement Planning

Helps design a cost-effective and efficient production plan aligned with customer and business objectives. Optimizes both customer-dependent processes, such as on-time delivery, and customer-independent processes, like production cycle time, Resources, Capacity and Materials. Covers all aspects of production, streamlining the end-to-end process from long-range and medium-range planning to scheduling.


Typical decisions in production and inventory management focus on key aspects such as production capacity and capacity planning, inventory planning, material requirements planning (MRP), and production lead time. Key questions addressed include:

  • How much can be produced within a given time frame with available resources?
  • Is capacity utilization aligned with expected demand?
  • What additional opportunities exist based on available service capacity?
  • What is the optimal resource allocation to meet the production plan?

These decisions and questions are crucial for optimizing production efficiency and meeting customer demand.

Implementing ​​end-to-end planning can significantly enhance the effectiveness of your S&OP process. By focusing on ​precise forecasting, fostering collaboration, managing risks, and extending planning efforts across the supply chain, businesses can achieve better alignment, agility, and performance. S&OP is not just a process—it’s a competitive advantage that drives success in today’s dynamic market environment.


Spare Parts Planning

Navigating Aftermarket Inventory Complexities

Managing inventory in the aftermarket sector is uniquely challenging due to:

  • Complex Distribution Networks: Multi-echelon supply chains require precise coordination to ensure parts availability across various locations.
  • Intermittent Demand: The sporadic nature of parts demand complicates forecasting and inventory planning.
  • High SKU Proliferation: A vast array of part numbers necessitates meticulous inventory management to balance service levels and costs.

Traditional supply chain planning tools often fall short in addressing these complexities, particularly when forecasting intermittent demand and managing the "long tail" of low-volume, high-SKU items.

Leveraging AI-Powered Planning Solutions

To overcome these challenges, manufacturers are turning to advanced AI-powered, probabilistic planning solutions. These tools enhance demand forecasting accuracy, even for sporadic orders, and optimize multi-echelon inventory management. By implementing such solutions, companies can:

  • Improve Service Levels: Ensure critical components are available when and where needed, enhancing customer satisfaction.
  • Reduce Inventory Costs: Optimize stock levels to prevent overstocking and obsolescence.
  • Enhance Agility: Respond swiftly to market changes and evolving customer demands.

For instance, service-driven planning software automates and optimizes supply chain tasks to meet target service levels, calculating optimal plans by considering demand variability and supply constraints.

Supply Chain Assessment

Assessment study of current performance and potential improvements in terms of forecasts, inventory and service levels. 

  • Identify and model various Demand Drivers to Improve Forecast Accuracy
  • Understand Demand behaviors- variability, volatility and frequency
  • Identify Current Inventory and Service Level behavior
  • Service Level setting with optimized inventory mix and quantity
  • Multi-Echelon Inventory Optimization for inventory staging– upstream or downstream types of decisions
  • Identify opportunities for increasing Product Availability without Increasing Inventory Investments
  • Supply simulation- replenishment, distribution and production to identify long-term feasibility and constraints

Advanced Analytics

Promotions & Events Forecasting- Promotions & Planned events demand forecasting through removing the baseline demand and extracting the uplift actions

Cannibalization & Cross-Selling- Forecasting on cross-product

cannibalization, cross-effects, competitor’s events

Events Auto-Detection- Auto-detection of start, end and active products on events like promotions

New Product Introduction- Using product specs and combining it with an array of available product and market data including social media predict launch performance

Media Effect Forecasting- Online Media, Social Media, TV Advertising, Print and other media actions modelling into the demand forecasting

Social Sensing Index- Developing time series data on sentiment across social digital channels including Twitter, Facebook, Instagram, YouTube, Blogs and more

Customer Signals- Starting from Lead and Opportunities data (CRM, Loyalty programs and more) enhance sales per product and location.

Internet of Things Signals- Leveraging devices streaming data in real time, we combine those signals to enhance the forecast and add early visibility


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