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Supply Chain AI Strategy: Navigating Apparel Industry Complexities

Logility

This blog cuts through the complexity, presenting how supply chain AI strategy and machine learning, especially through the power of generative AI and InventoryAI+, are essential in crafting a smarter, more responsive retail supply chain. Traditional methods based on historical sales data no longer suffice.

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LTL Industry Trends and Tips for 2022

GlobalTranz

In our recent GlobalTranz 2022 Logistics and Supply Chain Trends and Outlook white paper, our experts review some of the factors that will shape logistics in the coming year and beyond. Proactively convey customer and budget expectations for increased rates and delays. Tightened Capacity. Accessorial Fees. Consolidation.

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Top 6 Retail Trends & Supply Chain Planning Challenges in 2023

Logistics Viewpoints

That’s why staying on top of the latest supply chain planning trends is so important – they can make all the difference when it comes to staying competitive, reducing costs, and meeting your customers’ needs. Here are some highlights from these trends in 2023 and implications on supply chain planning.

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4 Steps to Skyrocket Your Demand Forecasting Accuracy

Logility

In the intricate world of supply chain management, the accuracy of demand forecasting often serves as the cornerstone of business growth. Supply chain leaders know the importance of a robust, reliable forecasting process. The closer your forecast aligns with the actual demand, the higher your demand forecasting accuracy.

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What is Reverse Logistics?

GlobalTranz

Normally, logistics deal with events that bring the product towards the customer. In the case of reverse logistics, the resource goes at least one step back in the supply chain. When a manufacturer’s product normally moves through the supply chain network, it is to reach the distributor or customer.

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AI in the Food Industry: Case Studies, Challenges & Future Trends

ThroughPut

Whether it is optimizing supply chains to reduce waste or adopting smart agriculture practices to improve yield, AI impacts efficiency, personalization and sustainability. Food Production AI tools can drive advanced predictive analytics with precision forecasting for weather and crop yield predictions. billion in 2024.

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From Predictions to Operations: Compelling Supply Chain AI Use Cases

ThroughPut

A report by McKinsey shows that early adopters of AI in the supply chain have improved their inventory levels by 35%, reduced logistics costs by 15%, and enhanced service levels by 65%, vis-a-vis competitors who were slow to embrace AI. And the effect of inaccurate demand forecasting is felt across the supply chain.