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7 Ways AI Can Impact Your Supply Chain and Logistics Operations

Stord

From improved customer experience to greater inventory planning and forecasting, AI promises to make all of our lives easier and reduce those all-too-common supply chain headaches. Additionally, this technology will make demand planning & forecasting more accurate. This is the "true magic" of great forecasting!

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Why a Modern BI Platform is Needed for Predictive Analytics

Silvon Software

And it does so through its ability to generate demand forecasts, customer segmentations, risk assessments and operational optimizations in areas like supply chain and inventory management. The Challenge of Data Silos Data silos occur when information is confined within one department or team and not shared across an organization.

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Pandemic Lessons For Supply Chain Leaders

Supply Chain Shaman

In addition, build a planning master data management system. Record shipment times into a dynamic database for lead times (based on actual data) and ground planning models with this new logistics reality. Watermelon Metrics Don’t Drive The Right Results. I love the metaphor of watermelon metrics.

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Using Analytics To Address Supply Chain Challenges

Silvon Software

Supply chains also have the added complexity of numerous other data sources being generated from extended partners in outsourcing, logistics, and distribution. And for many, it’s a struggle to use this data to generate meaningful insights beyond top-level metrics. Make supply chain analytics broadly available.

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How to Define a Performance Measurement Strategy

Silvon Software

While clearly important in today’s constantly changing business environment, so many companies continue to struggle with how to measure and improve their performance – grappling with questions like: Which metrics really matter? Can we get the right resources needed to collect data for analysis before it’s too old?

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How New Supply Chain Technologies Are Boosting Efficiency

ShipBob

Demand forecasting. Tech-enabled demand forecasting has shown to reduce supply chain errors by 30 to 50%. With inaccurate forecasting, it’s easy to lose out on sales due to inaccurate inventory data, which leads to understocking or overstocking issues that result in lost profits. . Forecasting future demand.

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Unlocking Efficiency with AI in Business Process Automation

Elementum

Logistics Management: Streamlining Operations with AI In logistics, AI-driven process automation optimizes routing, fleet management, and delivery schedules, significantly reducing operational costs and improving efficiency. Common performance metrics include process completion rate and the number of automated tasks.