Five Steps to Improve Supply Chain Forecasting Accuracy

Five Steps to Improve Supply Chain Forecasting Accuracy

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.

Logility Acquires Garvis AI to Enhance Supply Chain Forecasting

Logility Acquires Garvis AI to Enhance Supply Chain Forecasting

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.

Retail Sales Forecasts Signal Economic and Logistics Trends

Retail Sales Forecasts Signal Economic and Logistics Trends

Retail sales forecasting is crucial for logistics. Key aspects include influencing factors, forecasting methods, and business format development. Digital transformation reshapes the supply chain, necessitating optimized forecasting to address uncertainties. Accurate predictions enable efficient inventory management, transportation planning, and resource allocation. Understanding consumer trends and economic indicators is vital for effective forecasting models. By leveraging data analytics and advanced algorithms, businesses can improve forecast accuracy and enhance their competitive advantage in the dynamic retail landscape. This leads to better decision-making and improved overall supply chain performance.

Biden Administration Urges Shippers to Ease Supply Chain Crisis

Biden Administration Urges Shippers to Ease Supply Chain Crisis

The US supply chain continues to face challenges. The Biden administration has launched a Supply Chain Disruptions Task Force and invited shippers to offer solutions. This article analyzes the characteristics of the current supply chain crisis, emphasizing the role of data analytics in optimizing demand forecasting, supply chain visibility, and risk early warning. It calls for collaborative efforts to build a more resilient and sustainable supply chain system.

Predictive Analytics Boosts Supply Chain Resilience for Peak Demand

Predictive Analytics Boosts Supply Chain Resilience for Peak Demand

Peak season presents significant supply chain challenges, making accurate demand forecasting crucial. Companies should leverage data analysis and market trend insights to optimize inventory, transportation, and collaborate closely with suppliers. Investing in forecasting technologies and building a flexible supply chain are essential for effectively responding to unexpected events, ensuring business continuity, and enhancing competitiveness. Accurate prediction enables proactive planning and resource allocation, mitigating risks associated with increased demand and potential disruptions during peak periods.

Roboticsasaservice Transforms Supply Chain Efficiency

Roboticsasaservice Transforms Supply Chain Efficiency

The rise of the RaaS model is helping businesses optimize supply chains, reduce costs, and increase flexibility. Global deployments are projected to exceed 1.3 million units by 2026, benefiting industries such as logistics. RaaS offers a cost-effective and scalable solution for automating various tasks, improving efficiency and responsiveness in dynamic market conditions. By leveraging robotic solutions through a service model, companies can avoid large upfront investments and access advanced technology without the burden of maintenance and upgrades.

Aidriven ERP Boosts Supply Chain Efficiency

Aidriven ERP Boosts Supply Chain Efficiency

AI is driving ERP systems to deeply expand into supply chain management. Through data analysis, process automation, and user experience optimization, AI empowers ERP to achieve intelligent demand forecasting, inventory optimization, and transportation management. Businesses need to strike a balance between ERP and specialized supply chain software based on their specific needs to create an efficient and intelligent supply chain. This integration fosters improved decision-making and streamlined operations within the supply chain ecosystem.

CH Robinson Debuts Aidriven Supply Chain for Logistics

CH Robinson Debuts Aidriven Supply Chain for Logistics

C.H. Robinson launches an "Intelligent Supply Chain" leveraging AI to build a smart logistics ecosystem. This system enables more accurate demand forecasting, optimized transportation route planning, and efficient inventory management. It can autonomously adjust strategies based on market changes and unforeseen events, improving supply chain efficiency, reducing costs, and enhancing risk resilience. The platform aims to create a more responsive and agile supply chain for its customers.

01/28/2026 Logistics
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Retailers Adapt Supply Chains Amid Postpandemic Shifts

Retailers Adapt Supply Chains Amid Postpandemic Shifts

The pandemic has accelerated retail supply chain transformation, making omnichannel strategies critical for survival. Businesses need to enhance supply chain resilience by diversifying suppliers, shortening chains, and leveraging digital technologies. Digital transformation drives supply chain upgrades, enabling demand forecasting, smart warehousing, and optimized logistics. The future retail supply chain will be more agile, intelligent, and sustainable. This requires a focus on data-driven decision making and seamless integration across all channels to meet evolving customer expectations and navigate future disruptions effectively.

Supply Chain Leaders Urged to Boost Corporate Profit Influence

Supply Chain Leaders Urged to Boost Corporate Profit Influence

This paper explores the critical role of supply chain executives in corporate strategic decision-making, arguing that traditional supply chain management models are no longer sufficient for rapidly changing market demands. It highlights the core contributions of supply chain executives in optimizing product development, enabling precise cost control, improving demand forecasting, and strengthening risk management. The paper proposes strategies for gaining a seat at the management table and concludes by looking ahead to the intelligent transformation of supply chain management.