Cobotics-AI, in collaboration with OAG, leverages OAG's flight schedules and real-time status data to build the Touchstone platform. This platform provides customers with insights into global market capacity and load factors, enabling them to optimize routes, mitigate risks, and improve decision-making efficiency. Ultimately, this leads to significant cost savings and enhanced profitability.
IATA Consulting Services empowers airports to seize market opportunities and develop winning strategies by providing forward-looking traffic forecasts and expert advice. Our traffic forecasting research, based on reliable data, meticulous analysis, and rigorous modeling, offers comprehensive decision support for airport operators, investors, and more. Choosing IATA Consulting means gaining access to an unparalleled database, an extensive industry network, and a proven track record of excellence, laying a solid foundation for the future development of your airport.
This article reveals the cost pitfalls caused by inaccurate labor forecasting, emphasizing the importance of precise prediction. Through data-driven approaches, process optimization, and technology enablement, companies can effectively reduce overtime costs, improve production efficiency, control 'hidden' labor hours, and achieve collaboration between operations, finance, and human resources departments. Ultimately, this unlocks profit potential for the enterprise. Take action now, gain overall control, and unleash your company's unlimited potential!
More and more companies are realizing that accurate weather forecasts are crucial for improving operational efficiency, reducing costs, and increasing revenue. Weather data has a significant impact on logistics, operating costs, and revenue growth. Businesses should leverage advanced weather analysis tools to integrate weather forecasts with business operations, thereby reducing operating costs, improving efficiency, and achieving revenue growth. Utilizing weather insights allows for better planning and resource allocation, ultimately leading to a more profitable and resilient business.
The Logistics Manager Index (LMI), inspired by the PMI, is a monthly survey of key logistics indicators, offering a novel perspective on economic forecasting. It faces challenges related to data quality and analytical tools, requiring continuous improvement. The LMI aims to provide timely insights into the logistics sector and its impact on the broader economy, helping businesses and policymakers make informed decisions regarding supply chain management and economic outlook.
Up to 23% of labor costs are wasted due to inaccurate logistics labor forecasting. High-performing teams achieve precision by connecting data, dynamically adjusting schedules, quantifying indirect labor, and tracking unscanned labor. This reduces overtime, increases throughput, enables flexible staffing, and aligns operations, finance, and HR goals. Download the guide to learn more practical tips.
This paper outlines five key steps to enhance the value of supply chain forecasting: defining clear forecasting objectives and scope, collecting and cleaning data, selecting appropriate forecasting methods, evaluating and optimizing prediction models, and continuously monitoring and adjusting. By following these steps, businesses can build a more accurate and reliable forecasting system, optimize inventory management, reduce operating costs, and improve customer satisfaction. This leads to a more efficient and responsive supply chain.
The retail industry struggles with inventory prediction, leading to stockouts, overstocking, and inefficient supply chains. Data-driven forecasting is crucial for improvement. Automation technologies, like robots, can efficiently collect data and enhance prediction accuracy. By analyzing sales, customer behavior, and market trends, retailers can optimize inventory levels, improve product placement, and adjust pricing. This results in more accurate forecasts, streamlined operations, and personalized services, ultimately positioning them for future success.
Logility's acquisition of Garvis marks its official entry into the Supply Chain AI domain. Garvis' DemandAI+ integrates generative AI with machine learning, revolutionizing demand forecasting and helping businesses improve forecast accuracy, optimize inventory, and reduce costs. This powerful combination signals the arrival of an AI-driven intelligent supply chain era. Logility will continue to innovate, empowering businesses to succeed in complex markets. The integration of DemandAI+ promises enhanced visibility and responsiveness within the supply chain, ultimately leading to greater efficiency and profitability for Logility's customers.
This article discusses how artificial intelligence can assist businesses in addressing the challenges posed by climate change on supply chains. It presents five specific methods including forecasting and simulation, data analysis and real-time monitoring, intelligent scheduling and optimization, continuous risk assessment, and collaborative informed decision-making. These measures will help companies enhance resilience and promote sustainable development.
