
Where Neural Networks Earn Their Keep in Demand Planning
When neural networks improve demand forecasts, how to train them on short weekly histories, and why every model should compete against simpler ones before it ships.
Supply chains are continuously evolving and becoming more complex and dynamic than ever. In addition to being agile and robust, an effective supply chain
planning solution must provide real value and contribute to making your business financially and operationally sound. To receive a quantifiable ROI (Return on Investment) on supply chain planning investment, companies should evaluate factors such as cost savings, increase in revenue and efficiency improvements.. Building a strong supply chain will strengthen market position and customer loyalty. Forbes recently conducted a supply chain automation study to evaluate the benefits of investing in a supply chain automation tool. The outcome of this nine-month network design project was a short term savings of €18 million along with additional €11 million of savings while meeting stringent service level targets. Clearly, investing in an advanced demand and supply planning solution can be highly beneficial and might just be the key your supply chain is missing.
Implementing advanced supply chain software can provide tremendous value through:

Effective inventory management is essential in order to achieve operational excellence. Excess inventory and carrying costs can be reduced through improved tracking and more accurate demand forecasting. Implementing an advanced planning solution can help you forecast more accurately and plan your supply chain more effectively. Areté’s Demand Planning solutions organize sales data and employ advanced statistical tools and forecasting techniques to help you reduce your inventory costs. Learn more about how Areté’s Demand Planning solution helps companies reduce their costs significantly.
Creating better coordination across supply chains and optimizing production schedules and logistics can be a hard task. According to Forbes, 68% of organizations fail to get an effective ROI on their digital transformation. This can be due to factors such as failing to establish a resilient and agile supply chain strategy, or having an undefined framework that does not integrate people, processes and technology. Consider the returns of implementing an advanced demand and supply planning solution that takes into account your unique business needs.
Accurate forecasting is the first step for inventory management and operational efficiency. The best strategy to achieve improved forecasting accuracy is by employing advanced analytics and AI. Accurate forecasts not only help you manage inventory better but also help in minimizing stock outs and lost sales. Areté’s Demand Planning solutions utilize advanced forecasting algorithms and machine learning models to provide the most accurate long-term demand forecasts. Learn more about how Areté’s unique forecasting features can be a good fit for your business.
A successful supply chain ties together multiple operational, tactical and strategic facets to build an agile system that blends people and processes. Advanced analytics and real-time insights can provide valuable information to make better strategic and operational decisions. These strategic insights can help your enterprise increase revenue and improve market positioning. Demand and supply planning solutions can help you conduct more efficient S&OP and S&OE evaluations which in turn lead to competitive advantage. Implementing supply chain software can help you build a fail-proof strategy that is customized to your business model and needs.
To achieve optimal efficiency with maximum profits, your business needs to go beyond manual processes. With advanced and accurate technological advances now available, your company can achieve competitive advantage by employing advanced demand and supply planning tools. Check out how Areté can help you achieve your business goals.

JR has 2 decades of experience in Demand and Supply Planning helping customers achieve desired results.
September 13, 2024
Category: Software Solutions

When neural networks improve demand forecasts, how to train them on short weekly histories, and why every model should compete against simpler ones before it ships.

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