As of August 10, 2025, 1 US dollar exchanges for 300.71 Sri Lankan rupees, indicating stability in the currency market according to recent data. Over the past 30 days, the exchange rate has fluctuated by about 2 rupees, showcasing a trend of market steadiness. It is crucial to monitor how changes in the exchange rate impact economic activities and consumer decisions.
This article analyzes the exchange rate dynamics between the Sri Lankan Rupee (LKR) and the US Dollar (USD). Recent data shows that on August 10, 2025, the exchange rate was 1 LKR = 0.00332541 USD, with a high of 0.00344992 and a low of 0.00327568. This reflects the volatility of the exchange rate and the market's varying perceptions of the Sri Lankan economy.
This article analyzes the latest exchange rate and volatility trends of the Sri Lankan Rupee (LKR) against the US Dollar (USD). The current exchange rate is 1 LKR = 0.00332541 USD, allowing for approximately 33.25 USD for 10,000 LKR. It provides data on the highest and lowest rates along with volatility information, aiming to help readers understand the market situation and potential investment opportunities.
This article analyzes the current exchange rate situation of the RMB against the USD, with 1 CNY convertible to approximately 0.1392 USD and 1 USD equal to about 7.1838 CNY. Utilizing real-time exchange rate data, investors and businesses can more effectively plan their funding and operational strategies, while paying close attention to the opportunities and risks presented by exchange rate fluctuations.
The current exchange rate of the US dollar to the Cayman Islands dollar is 1 USD to 0.831218 KYD, meaning 1000 USD can be exchanged for 831.21 KYD. In the past 30 days, the exchange rate has shown significant fluctuations, reaching a high of 0.83138 and a low of 0.82000. This data is valuable for consumers and investors to make more informed decisions.
This document compiles key information about Arkansas International Airport, including its geographical location, elevation, and coordinates. While the original data did not contain the IATA code, it was identified through an external query as BYH. This provides users with a quick and easy way to identify and utilize the airport. The information aims to facilitate efficient access to essential airport details.
This article provides a detailed analysis of the IATA code (ELO) and related information for Eldorado Airport in Argentina, including the ICAO code and geographical coordinates. By offering clear and accurate data, it helps readers quickly understand the airport and optimize their travel planning. The analysis aims to facilitate efficient travel arrangements by providing key details about this specific Argentinian airport.
This article explores the future of warehouse management, focusing on the four evolutionary stages from traditional blind management to intelligent adaptation. By analyzing the practices of companies like Amazon and Walmart, as well as the role of robots and AI technology, it reveals how real-time data and AI agents enhance decision-making efficiency and flexibility in warehouses, emphasizing the importance of intelligence in modern warehousing.
This paper analyzes various sea freight container costs from a data analyst's perspective, including drop-off charges, pre-pickup charges, demurrage, and pre-gate-in charges. It provides cost optimization strategies to help readers understand the reasons for these charges, applicable scenarios, and avoidance methods. The aim is to effectively reduce sea freight costs by providing practical insights into managing and minimizing these expenses.
The Philippines has launched a National Customs Time Study at the Manila International Container Port, aimed at enhancing customs clearance efficiency in maritime trade. Supported by the WCO and the UK's HMRC, the project will employ a data-driven approach to identify bottlenecks, with the final report expected by the end of 2025. This study will serve as a foundation for future trade facilitation and national coordination.
