SaaS Supply Chain Management Software: A Comprehensive Guide
December 13, 2023 | Supply Chain Software
Today’s complex global supply chains face numerous challenges -- from disruptions and changing demand patterns. Supply chain leaders have the tough job of ensuring supply continuity, reducing costs, meeting customer demands and supporting business growth.
5 Essential Features to Look For Supply Chain Management Tools
November 28, 2023 | Supply Chain Software
It’s clear that supply chains today face unprecedented disruptions -- from natural disasters to geopolitical conflicts. However, the right supply chain management tools can enable resilience even amidst volatility.
As businesses equip themselves with solutions to navigate uncertainty, they seek systems that not only optimize current processes but also rapidly adapt to the challenges of tomorrow.
How AI Can Help Procurement Find and Validate New Suppliers
October 31, 2023 | Supplier Management Technology
Amid the changing dynamics of global supply chains, sourcing reliable suppliers, ensuring their adherence to quality standards, and managing potential risks remain top priorities for procurement. This mandate is further complicated by the sheer volume of suppliers and the evolving market conditions. Every misstep in choosing a supplier can lead to operational disruptions, financial setbacks, or even reputational damage.
Supply Chain Demand Forecasting: How to Plan and Predict
October 30, 2023 | Supply Chain Software
Demand forecasting plays a crucial role in supply chain planning. By accurately predicting future demand, businesses can optimize their operations, minimize costs, avoid stock-outs, and enhance customer satisfaction.
In this comprehensive guide, we will explore the key processes and techniques involved in demand forecasting, highlight the importance and benefits of accurate forecasting, and provide practical tips to improve your demand forecasting processes.
Inventory Management Technology: Your Competitive Edge in Supply Chain Efficiency
October 16, 2023 | Inventory Management Software
It’s clear that lack of visibility into inventory levels, especially in complex supply chains and during supply chain disruptions, can result in inefficiencies. Obsolete inventory poses financial burdens, and managing seasonal fluctuations is a constant balancing act. Inventory holding costs, regulatory compliance and sustainability concerns also factor into the equation.
How Mid-Size Enterprises Can Protect Financial Health With Intelligent Procurement
October 09, 2023 | Procurement Software
During a public health crisis, people take steps to safeguard their health, as the world saw during the COVID-19 pandemic. They adopted new best practices, new innovations and new ways to collaborate. During an economic crisis, businesses must take a similar approach to safeguard their financial health.
How Smart Inventory Management Systems Can Help Improve the Bottom Line
October 06, 2023 | Inventory Management Software
Staying ahead requires more than just agility—it demands foresight and precision. Smart inventory management system is fast emerging as the silent architect behind operational efficiency — transforming the way businesses perceive and handle their inventory.
A Slowdown Survival Guide for Mid-Enterprises
October 03, 2023 | Procurement Software
For businesses facing financial uncertainties and shrinking profit margins during an economic downturn, it is imperative to leverage modern procurement software to implement effective procurement and supply chain strategies that allow for cost reduction without compromising resilience or effective risk management.
4 Ways Machine Learning Enhances Supply Chain Forecasting
October 03, 2023 | Supply Chain Software
Machine learning-powered demand sensing has emerged as a game-changer for supply chain forecasting. It improves forecasting accuracy by running multiple algorithms concurrently. Explore this blog by GEP.
Your Guide to AI in Supply Chain Planning
October 03, 2023 | Supply Chain Software
Supply chain planning can be an arduous task.
Incomplete, fragmented and poor quality data are pervasive issues. The master data itself can be a quagmire, often non-standardized across systems or business units, adding another layer of complexity.
The traditional reliance on historical data as the sole foundation for supply chain planning is no longer a viable approach, as it fails to address the dynamic nature of modern supply chains.
