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Home » Services » Inventory Planning » Supply and Demand Analytics
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Supply and Demand Analytics
What Is It?
Chainalytics' Supply and Demand Analytical services can help you improve forecast accuracy, replenishment planning accuracy, and inventory planning accuracy resulting in reduced inventory investment and/or improved service levels. We work with you to understand the characteristics of supply and demand variability, assess your replenishment performance, and then help you apply the appropriate predictive and modeling techniques by item, to improve working capital utilization and maximize service performance from inventory investments.
What Do We Do?
Chainalytics' Supply and Demand Analytical services can assist you with demand pattern analyses and replenishment lead-time analyses, improving usage of current forecasting and demand planning tools. With the prevalence of transaction systems and data warehouses, companies now have access to detailed data crucial to inventory planning such as: order line records, point of sales data, shipment data, and historical forecasts. Chainalytics can help you use this data to better analyze supply and demand and quantify true variability. Through quantitative analyses of the transaction data, market trends, demand patterns, and market pricing, Chainalytics can help you:
- Analyze your demand signal from customer orders, customer shipments, point-of-sale, and returns data.
- Categorize items along multiple dimensions beyond classical ABC analysis.
- Improve the performance of your inventory planning process by accurately quantifying demand variability associated with seasonality, product life-cycle stage, promotions, and other predictable factors.
- Improve performance of your inventory and replenishment planning processes by accurately quantifying lead time and lead time variability characteristics.
- Identify which forecast, replenishment planning, and inventory planning tools, policies and techniques are appropriate based on the characteristics of your demand and supply variability, demand volume, service criticality, product life-cycle, price, and margin.
Can Supply and Demand Analytics improve your forecast accuracy, reduce corresponding safety stocks, and improve service levels? Do you find yourself asking the following questions?
- How can I categorize demand / seasonal behavior of my items to leverage the existing functionality of my demand planning application?
- Are we accurately representing demand variability in our inventory planning process or application?
- Are the lead-time parameters we have in our replenishment planning and inventory planning applications accurate?
- What products have similar sales patterns so that I can plan them together?
- How can I adjust my forecasting models based on my product's life-cycle?
- How can I estimate the impact of price adjustments and marketing promotions on my demand?
Is It Right For You?
You are an ideal candidate for a Supply and Demand Analytics engagement if you are a company with a significant portfolio of items, have detailed order-level demand and supply data that is looking to:
- Manage your items with policies suited to their specific demand, seasonal, and replenishment patterns to improve your forecast accuracy, reduce your safety stock investment, or improve your service level performance.
- Gain a more detail understanding of the demand signal driving your supply chain and the lead-time characteristics that are influencing your inventory levels and service performance.
- Take advantage of the various techniques and approaches available to improve forecast accuracy
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