ERP Systems Struggle with Iot Data in Digital Transformation

ERP Systems Struggle with Iot Data in Digital Transformation

IFS research indicates that organizations embracing IoT are more likely to actively drive digital transformation. However, many companies haven't fully leveraged the potential of IoT, or their ERP systems are inadequate for handling IoT data. To fully capitalize on the benefits of IoT, businesses need to upgrade their ERP systems, enhance data analytics capabilities, optimize business processes, and foster a culture of innovation. This includes improving data processing speed and accuracy to gain actionable insights from the vast amounts of data generated by IoT devices, ultimately leading to better decision-making and improved operational efficiency.

Supply Chains Evolve As Logistics Adopt Oslike Efficiency

Supply Chains Evolve As Logistics Adopt Oslike Efficiency

Flexport CMO Jeff Thomas argues that companies need a supply chain management platform as powerful as an operating system to overcome the shortcomings of traditional logistics models, achieve global visibility, optimize resource allocation, and reduce operational risks. Embracing digital transformation and building a "logistics operating system" is crucial for future competition. This approach enables businesses to gain a holistic view of their supply chain, allowing for better decision-making and improved efficiency across all stages, from sourcing to delivery. Ultimately, this leads to a more resilient and responsive supply chain.

WCO Enhances Asiapacific Supply Chains Postpandemic

WCO Enhances Asiapacific Supply Chains Postpandemic

The World Customs Organization (WCO) launched the COVID-19 Project to enhance member customs' capacity to respond to pandemics and disasters. The first Asia-Pacific regional workshop focused on disaster management and supply chain continuity, fostering experience sharing and cooperation. The WCO is developing related guidelines and introducing digital procedures. Future efforts will strengthen data-driven decision-making, promote digital solutions, and deepen international cooperation to build a more resilient global supply chain. The project aims to equip customs administrations with the tools and knowledge needed to navigate future disruptions effectively.

Bajura Airport Data Insights Revealed in BJU VNBR Codes

Bajura Airport Data Insights Revealed in BJU VNBR Codes

From a data analyst's perspective, this paper deeply analyzes the airport codes BJU (Bajura Airport, Nepal) and VNBR, explaining the underlying airport information and its application value in aviation data analysis. It explores how airport codes can be used for flight data analysis, passenger behavior analysis, airport operation analysis, risk assessment, and safety analysis. The paper emphasizes the importance of data-driven decision-making in improving airport operational efficiency and safety. This analysis highlights the potential of leveraging airport code data for enhanced insights in the aviation industry.

Moanamani Airports IATA Code Aids Remote Indonesia Air Travel Data

Moanamani Airports IATA Code Aids Remote Indonesia Air Travel Data

This article provides an in-depth analysis of the IATA code (ONI) for Moanamani Airport in Indonesia, explaining the importance of IATA codes in flight booking, baggage tracking, and data analysis. It explores how to find airport IATA codes and the role of geographic coordinates in data analysis. The article emphasizes the importance of data quality and expands on the application of airport codes in market analysis. It highlights how accurate and reliable airport data, identified by IATA codes, is crucial for effective aviation analytics and strategic decision-making.

Ozon Adapts Store Models to Boost Russian Ecommerce Growth

Ozon Adapts Store Models to Boost Russian Ecommerce Growth

This article provides an in-depth comparison of OZON's local and cross-border stores, analyzing their advantages and disadvantages across various aspects, including registration requirements, logistics, traffic, capital, and returns. It aims to offer decision-making guidance for sellers planning to enter the Russian e-commerce market. The article emphasizes the importance of selecting the most suitable model based on individual resources, goals, and risk tolerance. It also highlights key recommendations such as a gradual approach and compliant operations to help sellers achieve success in the Russian market.

Spain and Latin America Boost Auto Parts Export Strategies

Spain and Latin America Boost Auto Parts Export Strategies

This article delves into export strategies for auto parts, specifically vacuum boosters, to Spain and the Latin American market. It covers the selection of international express delivery services, cost control measures, recommended B2B platforms (Alibaba, AliExpress, and Gaishi Auto), and market opportunity analysis. The emphasis is on data-driven decision-making to assist auto parts companies in expanding their overseas markets. The analysis aims to provide actionable insights for businesses seeking to navigate the complexities of international trade and capitalize on the growing demand for auto parts in these regions.

New Strategies Boost Visibility in Multimodal Supply Chains

New Strategies Boost Visibility in Multimodal Supply Chains

This paper explores achieving 100% supply chain transparency through the implementation of a control tower. It addresses overcoming real-time update obstacles, quantifying the benefits of advanced tracking, and leveraging TMS integration for automated visibility. The paper emphasizes that supply chain visibility is more than just knowing the location of goods; it's about using data insights to gain a competitive advantage. Key to this is building a robust control tower that provides a single source of truth for all supply chain activities, enabling proactive decision-making and improved operational efficiency.

Allentown Warehouse Boom Tests Sustainable Growth Potential

Allentown Warehouse Boom Tests Sustainable Growth Potential

Allentown, Pennsylvania, is experiencing economic growth due to large-scale warehouse construction, but faces challenges related to traffic, environment, land use, and skills matching. From a data analyst's perspective, this article suggests that the town optimize transportation planning, strengthen environmental protection, rationally utilize land, improve skill levels, and establish a data-driven decision-making system. This aims to achieve coordinated economic, social, and environmental development, providing a reference for logistics real estate development in other regions. The key is balancing growth with responsible practices for long-term sustainability.

01/27/2026 Logistics
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Datadriven Tech Reshapes Global Supply Chains

Datadriven Tech Reshapes Global Supply Chains

This paper delves into how supply chain management can achieve breakthroughs through digital transformation in the era of data explosion. It emphasizes the importance of strategy first, data empowerment, software definition, and talent management, providing businesses with concrete action guides and transformation strategies. The core argument is that mastering data is key for companies to win in the future. The paper highlights the necessity of leveraging data analytics for improved decision-making, increased efficiency, and enhanced resilience within the supply chain. It provides a roadmap for organizations seeking to navigate the complexities of digital transformation.