DEMAND PLANNING
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Select the best forecasting method
Flexible forecasting hierarchies
Netstock’s unique demand planning functionality, Pivot Forecasting®, allows you to forecast bottom-up, top-down, and middle-out using advanced demand forecasting tools. Forecast by sub-SKU attributes, channel, customer, or region, and work in any unit of measure. Plan on multiple dimensions to generate product and channel-specific forecasts in monthly, weekly, and even daily buckets, creating symmetry between forecasting and planning executives in your business.
Collaborative forecasting made easy
Promote accountability and visibility by utilizing demand planning tools. Collaborate across departments and adjust forecasts to drive continuous improvement. Create individual forecasts and integrate them into a single forecast.
Enhance financial alignment
Work in any unit of measure and align your financial forecasts and budgets with your operational forecasts to shape demand. Dynamically jump between units and currencies, and change future prices and costs for different channels to predict outcomes.
Continuous forecast improvement
Track the performance of your forecasts against the actuals as part of your overall supply chain planning to evaluate the effectiveness over time. Adjust and optimize your forecasting capabilities and processes as needed to enhance performance.
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AI and Supply & Demand Planning: What You Need to Know
Explore how supply & demand planning software enhanced with AI empowers you to remain competitive and fulfill customer demands with unmatched agility, speed, and precision.
Our solutions
Netstock has the solutions you need to help you achieve and manage optimal supply and demand levels.
FAQs about demand planning software
Demand planning is the process of forecasting future customer demand to ensure the right products are available at the right time while minimizing excess inventory. It involves analyzing historical sales data, market trends, and other key variables to make informed supply chain decisions.
Effective demand planning helps businesses optimize inventory levels, improve customer satisfaction, and reduce costs by preventing stockouts or overstock situations. Companies across industries, including retail, manufacturing, and logistics, rely on demand planning to maintain operational efficiency and profitability.
The demand planning process consists of several critical steps to ensure accurate forecasting and inventory management:
- Data collection & analysis: Gather historical sales data, market trends, and external factors such as economic conditions and seasonality.
- Demand forecasting: Use statistical models, AI-driven tools, and industry insights to predict future demand.
- Collaboration & alignment: Work with sales, marketing, finance, and supply chain teams to validate forecasts and align business goals.
- Inventory & supply chain planning: Adjust procurement, production, and logistics to match demand expectations.
- Monitoring & adjustments: Continuously track performance using key metrics (e.g., forecast accuracy, inventory turnover) and refine forecasts as needed.
When you follow these steps, businesses can create a proactive supply chain strategy that minimizes waste and maximizes efficiency.
Modern demand forecasting relies on a combination of advanced technologies to improve accuracy and efficiency:
- Artificial Intelligence (AI) & Machine Learning (ML): AI-driven algorithms analyze vast amounts of data to detect patterns and improve forecast accuracy over time.
- Enterprise resource planning (ERP) systems: Platforms like SAP and Oracle integrate demand planning with other business operations.
- Predictive analytics & big data: Companies use real-time data and predictive analytics to respond to market changes faster.
- Cloud-Based demand planning software: Cloud solutions offer scalability and real-time collaboration for global teams.
By leveraging these technologies through a platform like Netstock, businesses can enhance demand accuracy, reduce uncertainty, and optimize their supply chain performance.