Dole Expands with Agile Supply Chain Data Innovation

Dole Expands with Agile Supply Chain Data Innovation

Dole executives will share insights at the 2025 NextGen Supply Chain Conference on transforming their supply chain into a growth engine through flexible manufacturing, lean logistics, and data-driven demand forecasting. The article delves into the core strategies behind Dole's supply chain transformation, emphasizing the critical role of data analytics in process optimization, risk management, and business intelligence. It offers valuable insights and a practical reference for other companies seeking to modernize and improve their supply chain operations with a data-centric approach.

02/04/2026 Logistics
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Baiyun District Boosts RD Data Quality with Training

Baiyun District Boosts RD Data Quality with Training

Baiyun District, Guangzhou, will hold a training session on R&D investment statistics for research institutions on January 29, 2026. The aim is to improve the standardization and accuracy of R&D investment statistics within the district's research institutions. This will provide reliable data support for government decision-making and contribute to the technological innovation development of Baiyun District. The training is targeted at research institutions participating in the overall social R&D investment statistics.

Top Data Tools for Tiktok Ecommerce Product Selection

Top Data Tools for Tiktok Ecommerce Product Selection

This article reviews eight mainstream TikTok product selection and operation data analysis tools. These tools cover core scenarios such as influencer discovery, popular product analysis, competitor monitoring, and trend judgment. The aim is to help cross-border sellers avoid blind selection, accurately grasp market trends, and achieve sales growth, ultimately standing out in the fierce market competition. It provides insights into leveraging data for informed product decisions and competitive advantage on the TikTok platform.

Amazon Sellers Leverage Data to Find Untapped Niches

Amazon Sellers Leverage Data to Find Untapped Niches

This article provides an in-depth analysis of Amazon product selection market strategies from a data analyst's perspective. It covers key aspects such as market demand analysis, competitive landscape assessment, market size and capacity evaluation, market opportunity identification, market potential and cyclical analysis, user feedback analysis, and profit analysis. The goal is to help sellers accurately position themselves and tap into promising niche markets. This data-driven approach enables informed decisions for successful product launches and sustained growth on the Amazon platform.

1688 Sellers Boost Sales with Dianradar Data Tools

1688 Sellers Boost Sales with Dianradar Data Tools

Dianleida is a 1688 data analysis tool empowering e-commerce sellers. With core functionalities like intelligent product selection and competitor analysis, it helps sellers uncover potential bestsellers from massive data and monitor competitor dynamics in real-time, optimizing operational strategies. Offering both web-based and plugin tools, which are complementary and can be used collaboratively, Dianleida effectively improves product selection efficiency and store operation performance, assisting sellers in gaining an advantage in the fierce market competition.

Power BI Custom Solutions Boost Business Data Analytics

Power BI Custom Solutions Boost Business Data Analytics

This report outlines the comprehensive technical support offered by the Power BI professional services team. Our services cover key areas such as visual report design, customized report development, data model construction, DAX formula optimization, data cleansing and integration, project consulting and training, and system deployment. We aim to help businesses fully leverage the Power BI platform, unlock the value of their data, and drive business growth. We provide end-to-end solutions to ensure successful Power BI implementation and utilization.

Mauritius Tax Authority Boosts Ecoprotection Via Data Partnerships

Mauritius Tax Authority Boosts Ecoprotection Via Data Partnerships

The Mauritius Revenue Authority (MRA) effectively implements environmental compliance in cross-border trade through legal frameworks, institutional cooperation, risk management, and technology application. Despite challenges in information sharing and capacity building, the MRA's experience offers valuable lessons for other countries, particularly in waste management, green technology promotion, and endangered species protection. This approach highlights the importance of a multi-faceted strategy for integrating environmental considerations into international trade practices and ensuring sustainable development.

WCO Enhances Philippine Customs with Data Training Program

WCO Enhances Philippine Customs with Data Training Program

The World Customs Organization (WCO) conducted a Leadership and Management Development Workshop for the Bureau of Customs of the Philippines. This workshop aimed to enhance the leadership and management skills of senior officials and optimize the leadership culture within the customs administration. Through diverse teaching methodologies, the workshop helped participants understand themselves, manage themselves, understand others, and positively influence others, ultimately achieving personal and organizational improvement.

Mongolia Customs Adopts Data Analytics with WCO Backing

Mongolia Customs Adopts Data Analytics with WCO Backing

The World Customs Organization (WCO) supported the Mongolian Customs General Administration (MCGA) in hosting a data analysis workshop. This initiative aims to enhance MCGA's evidence-based decision-making and build a data-driven customs administration. As part of the SECO-WCO Global Trade Facilitation Programme (GTFP), the workshop focused on developing data governance strategies and improving risk management capabilities. These efforts are crucial for enabling trade facilitation and contributing to economic development in Mongolia.

Retailers Use Generative AI to Gain Data Edge

Retailers Use Generative AI to Gain Data Edge

This paper explores how retailers can leverage generative artificial intelligence (AI) to stay ahead of the competition. It emphasizes the importance of data quality and explains how generative AI can unlock data's potential. The analysis focuses on combining AI with consumer data to surpass industry leaders. By effectively utilizing AI technology, retailers can gain deeper data insights, optimize operations, and ultimately achieve success in the market. The paper highlights the potential of generative AI to transform retail and create a sustainable competitive edge.