Demand forecasting is the process of predicting future customer demand for a product or service using historical data and analytics. It's a key component in supply chain management, helping businesses manage inventory levels, plan production, reduce costs, and identify market opportunities. It can be done using various statistical and machine learning techniques.
Researchers explore green AI as a key approach to minimizing AI's environmental impact through energy-efficient algorithms and hardware, driving sustainability without sacrificing performance.
Researchers present a groundbreaking Federated Learning (FL) model for passenger demand forecasting in Smart Cities, focusing on the context of Autonomous Taxis (ATs). The FL approach ensures data privacy by allowing ATs in different regions to collaboratively enhance their demand forecasting models without directly sharing sensitive passenger information. The proposed model outperforms traditional methods, showcasing superior accuracy while addressing privacy concerns in the era of smart and autonomous transportation systems.
Researchers have harnessed the power of artificial intelligence to forecast oil demand in both exporting and importing nations, providing policymakers and energy stakeholders with precise tools for navigating the complex global oil market landscape. Their study compared AI techniques with traditional statistical models, revealing the superiority of AI in terms of prediction accuracy and stability.
Researchers introduce a groundbreaking sub-neural network architecture aimed at tackling the challenges of seasonal climate-aware demand forecasting. Their innovative modeling framework, incorporating uncertain seasonal climate predictions, demonstrated significant improvements in demand forecasting accuracy, with potential implications for supply chain resilience and pre-season planning in the retail industry.
WorldQuant Predictive, an innovator in artificial intelligence-powered predictive solutions, announced today that Circana, formerly IRI and The NPD Group, is providing consumer packaged goods' point-of-sale data to enrich WorldQuant Predictive's hosted AI platform, Quanto, which empowers business users to predict outcomes, simulate scenarios and optimize for desired results.
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