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Predictive Analysis in Logistics and Supply Chain: How to Apply

3PL Links

Predictive Analysis in Logistics and Supply Chain: How to Apply | Image source: Pexels In logistics, predictive analysis is simply the process of identifying and forecasting patterns, trends, and behaviors in both human and machine learning approaches, data, and algorithms.

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Data key to tackling forecasting challenges

FreightWaves SONAR

Businesses are prioritizing the speed of data propagation within their supply chains. According to Gold, NRF members have made significant investments in data analysis to improve their ability to predict consumer demand to prevent bloated inventory levels that many large retailers experienced around this time in 2022.

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Digital Transformation in Logistics

Logistics Viewpoints

ARC Advisory Group, where I work, publishes an analysis of the 25 manufacturers with the most mature digital transformations. This survey-based research gathers quantitative data as well as information on practices or performance drivers. From a maturity standpoint, the majority of respondents are digitizing data and processes.

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The Impact of Visibility In Fireproofing Inventories Against Volatility

Blue Grace Logistics

Intelligent solutions based on modern technologies can assist in automating order flows using accessible data, as well as the supply chain’s potential and restrictions. According to the survey, only 2% of organizations said that they were well prepared for the pandemic. Inventory Optimization. Data Visibility.

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The Role of Data Analytics in Supply Chain Management

3PL Links

The Role of Data Analytics in Supply Chain Management | Image source: Pixabay This article describes the transformation that data analysis and the supply chain are fostering and how it will impact business intelligence. Intelligence-driven businesses are interested in supply chain management and data analysis.

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Demand Forecasting: How It Enhances Ecommerce Operations

Ship Monk

The process usually includes analyzing historical data for seasonal trends and product performance, as well as gathering current data on competitors, marketplace trends, future marketing plans and promotions. All of them rely on data, whether you’re using historical data or new findings gathered from consumer research.

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The State of Supply Chain Trends Part IV: Data Analysis, Wearables, and the Cloud

GlobalTranz

Modern supply chains are evolving beyond anyone’s expectations due to increased use of cloud-computing technologies, wearables and advanced data analysis. In fact, up to 70 percent of companies surveyed in Europe have already implemented cloud-based solutions to enable rapid scalability and flexibility.