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Showing posts with the label best demand planning software

Rectify Future Discrepancies with Demand Planning Software

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There is nothing more exciting than launching a new line of products in your inventory. It keeps your portfolio fresh and is essential to attracting customers for repeat sales. But we have been noticing that customer demand is not stable in the last couple of years. In situations like these, you might want to consider effective demand planning software to test out how your new product will perform when it gets launched.  It seems like a mystery to determine how customers will react to new products or understand how much to order without any previous sales history. But with effective KPIs and complete visibility, you can access end-to-end transparency to your supply chain and make better decisions. This article will emphasize 10 crucial steps to evaluate the future demand for new products.  Take a collaborative approach   While creating a forecasting strategy for a new product launch, make sure that you pick selected, proactive people from the marketing, sales, and technical department

Explore the Benefits of Demand Planning Software

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Imagine that at some point in the year, you face a sudden surge in orders that you are not able to fulfill. This is a logistics nightmare. You have orders to fulfill, but you don’t have an accurate order fulfillment strategy. What do you do? Lost or unhappy customers take a toll on your business’s brand value. Agile and effective demand planning software enables you to avoid these sorts of situations. This article explores five crucial reasons to implement demand forecasting software in your supply chain.    1. Refined accuracy and effectiveness of demand forecasting    Demand planning systems utilize advanced algorithms and machine learning technology to analyze historical data and identify trends and patterns in customer behavior toward your products. This feature allows you to generate accurate demand forecasts that take into account factors such as market trends, seasonality, and economic conditions. By using demand planning tools to create predictions, companies can reduce the ris