MANUFACTURING AND CAPACITY PLANNING
Enhance your capacity planning
Predictability
Eliminate guesswork with accurate forecasts that anticipate dynamic market demand & supply risk
Simplicity
Easily run forecasting models for best and worst-case scenarios
Speed
Integrate order data with ERP systems for smarter, real-time demand, inventory, and production visibility
Putting the “finite” into capacity planning
Netstock Predictor IBP’s Finite Capacity Planning (FCP) optimizes production plans using monthly, weekly, or even daily time periods. It suggests strategic inventories to level load production while automatically spreading production requirements across alternative resources or vendors, optimizing cost and profitability. FCP prepares your business for seasonal peaks, planned outages, and rapid growth.
Rough-Cut capacity planning
Rough-Cut Capacity Planning offers a high-level view of capacity requirements for long-term and what-if scenarios. It helps evaluate whether your resources can support strategic growth plans, such as increasing a product category or region by a certain percentage over a specific period of time. This approach enables companies to anticipate potential constraints and make informed decisions for future capacity needs.
Exception event adjustments
Adjust capacity for anticipated events, such as planned maintenance, plant shutdowns, or increased staffing, synchronize demand with supply, and optimize your production and procurement plans.
Enhanced inventory visibility
View inventory, backlogs, demand, and planned supply at any level of aggregation and in any unit of measure. This ensures all stakeholders have a comprehensive and timely view of key information for managing a global supply chain.
Scenario planning & business analysis
Align your sales, production, procurement, and financial plans with scenario-based planning. Create and compare multiple demand-supply scenarios, and easily share them with stakeholders. Netstock Predictor IBP facilitates a more timely and agile Sales and Operations Planning (S&OP) cadence, improving business responsiveness, profitability, and resilience.
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See everything Netstock can do for you
Enhance inventory visibility
See all your inventory KPIs in a single dashboard and get prescriptive and prioritized recommendations on SKUs important to your growth. Model the impact of various inventory policy decisions and measure the outcome of each scenario.
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Improve forecasting and Demand Planning
Enhanced with machine learning, generate improved forecasts that factor in trends, seasonality, promotions, and supply chain disruptions.
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Accelerate inventory orders
Generate recommended orders to restock products across your network and create a balanced inventory holding. Create risk-optimized orders for each SKU and automatically send them to your ERP system with a single click.
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Optimize manufacturing
Break down silos and create a central source of truth to drive confident, synchronized decision-making. Align operations and supply chain plans with sales, marketing, and financial strategies.
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Measure supplier performance
Monitor and measure product-specific lead times and overdue orders. Leverage supplier performance metrics to negotiate terms that reduce lead times and mitigate supply risk.
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Develop scenario models
Optimize production plans and view real time visibility. Work with multi-level bills of material, resources, and kits. Create multiple demand-supply scenarios to easily distribute important data to stakeholders.
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Forecast demand predictably
Generate flexible predictions based on individual products, product groups, sales channels, and key customers, allowing for top-down, bottom-up, and middle-out forecasting methods.
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Improve Supply Chain Reliability with Collaborative Planning and Predictive Analytics
Netstock has partnered with Lora Cecere, Founder and CEO of Supply Chain Insights, to explain how collaborative technologies improve alignment and resiliency in the face of unprecedented variability.
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Discover how Netstock’s Predictive Planning Suite™ accelerates inventory planning.
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