eBook
Top Supply Chain Challenges for Manufacturing Companies
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Manufacturers today face a long list of complex supply chain challenges. Supply chain teams that rely on a jumble of spreadsheets, enterprise resource planning (ERP) systems, and antiquated supply chain applications risk failure. Keeping data in many different places creates siloed data and misalignment between plans. There is good news. This eBook explores the convergence of advanced solutions:
- Demand Segmentation -High volume and low demand variability and forecasting
- “What-If” Scenario and S&OP Planning – Make faster, more precise decisions that consider constraints, costs and capacities.
- Data Management and Advanced Analytics – Determine the best time to present robust analytics to your organization moves from basic descriptive to cognitive analytics.

Manufacturers today face a long list of tough supply chain challenges. Supply
chain teams that rely on a jumble of spreadsheets, enterprise resource planning
(ERP) systems, and antiquated supply chain applications risk failure. Keeping data in
many different places and systems limits visibility and creates misaligned plans.
There is good news. A convergence of advanced solutions makes this a great time
to take your supply chain planning and manufacturing optimization software capabilities to the next level and solve the never-ending supply chain puzzle.
One area of improvement is Product Life Cycle Forecasting. Most companies recognize the importance of a repeatable and accurate forecasting process. Accurate forecasts help minimize inventory, maximize production efficiency, streamline purchasing, optimize distribution and ensure confidence in company projections. However, developing accurate product forecasts at all stages of a product’s life cycle can be very challenging, and requires the right supply chain and manufacturing optimization software.
A best practice is to assign a forecasting method based on a product’s life cycle stage to ensure the best possible forecast accuracy. However, most demand planning teams don’t have the bandwidth to evaluate each SKU/location level forecast for every forecasting period to determine which forecasting method is best. Fortunately, leading demand planning solutions can automate this selection by comparing forecast error by method and selecting the method that provides the best forecast.
This eBook, Solving the Supply Chain Planning Puzzle: Six Capabilities Every Manufacturer Needs, explores key areas where manufacturers should focus to realize supply chain improvements, including the use of supply chain master data management, sales and operations planning (S&OP), and advanced analytics.
MORE ABOUT THIS EBOOK:
- WHO SHOULD READ THIS EBOOK?
This eBook is meant for manufacturing planners and supply chain professionals searching for a more modern and efficient way of optimizing and maturing their supply chain.
- WHAT CONCEPTS ARE COVERED IN THIS EBOOK?
This eBook covers Supply chain planning and optimization through six capabilities, including “What-if” scenario planning and product lifecycle forecasting, all using advanced analytics. This eBook also explores key areas where manufacturers should focus to realize supply chain improvements, including the use of supply chain data management, sales and operations planning (S&OP), and advanced analytics.
- WHY THIS EBOOK IS A MUST READ FOR SUPPLY CHAIN ORGANIZATIONS
In this eBook we cover the supply chain challenges manufacturers face with rising costs, customer demand, and growing complexity of global operations. Learn to increase forecast accuracy and speed of the decision-making process and leave outdated systems behind.