The Punjab government has once again urged the Centre to release pending dues related to market fees and the Rural Development Fund (RDF). In a letter addressed to Union Agriculture Minister Shivraj Singh Chouhan last week, Punjab Food and Civil Supplies Minister Lal Chand Kataruchak highlighted that the state has been repeatedly requesting the release of these funds for the past three years spanning seven procurement seasons, including both rabi (wheat) and kharif (paddy).Punjab is seeking market fees at a rate of 3%, but the Centre has been disbursing funds at only 2%, resulting in a significant shortfall. According to the state government, ₹1,100 crore remains pending since 2021. The backlog covers four paddy procurement seasons (2021–2024) and three wheat procurement seasons (2022–2024).Kataruchak emphasized that despite numerous reminders, the dues have not been cleared, putting additional financial strain on the state’s procurement and rural development efforts. The issue of reduced market fee disbursement has been a persistent point of contention between Punjab and the central government.
U.S. recyclers exporting secondary commodities are confronting new challenges amid escalating trade tensions and tariff policies under President Donald Trump. The imposition of a 145% tariff on Chinese imports has led to a significant decline in container bookings from China to the U.S., with reports indicating a drop of up to 60% . This downturn is affecting not only importers but also exporters of recyclable materials, who rely on the availability of containers and stable shipping routes.The Port of Los Angeles, a major hub for trans-Pacific trade, has experienced a substantial decrease in container volumes, with expectations of a 10% drop in the second half of the year This decline is causing ripple effects throughout the logistics industry, including reduced trucking volumes and increased difficulty in securing shipping containers for exports.
At least 70 people have died and more than 1,200 have been injured following a massive explosion at Iran’s key container port, Bandar Abbas. The blast, which struck Saturday at the Shahid Rajaee terminal, Iran’s main container hub, triggered a large fire that firefighters struggled to contain amid strong winds and flammable cargo. Authorities now report the fire is under control, though toxic emissions from burning materials continue to pose risks.Hormozgan Province’s governor told state media that rescue operations are ongoing and warned that clearing the site could take up to two weeks due to hazardous conditions. Interior Minister Eskandar Momeni stated that national-level firefighting efforts have ended, with local authorities now managing the situation. He noted that security lapses contributed to the disaster, and some individuals responsible have been summoned for investigation.An initial report from the investigative committee cited failures in civil defense and safety protocols as key factors. As of Monday, 22 people remain missing, and 22 recovered bodies are yet to be identified, according to state television.
China has expressed willingness to support normal cooperation with US companies, the Ministry of Commerce said on Tuesday, just days after Chinese airlines halted deliveries of new aircraft from Boeing Co. Beijing acknowledged that tariff increases under former US President Donald Trump had disrupted the global air transport market, affecting both Chinese carriers and Boeing. The ministry emphasized that China hopes the US will foster a stable and predictable environment for trade and investment.Earlier this month, China ordered its airlines to suspend further deliveries of Boeing jets amid the ongoing trade war, which saw the US impose tariffs of up to 145% on Chinese goods. In response, China introduced retaliatory tariffs of 125% on American products, making it financially unviable for Chinese airlines to accept US-built aircraft.
The supply chain industry is being revolutionized by generative AI and large language models (LLMs), enhancing decision-making, automating tasks, and improving efficiency across procurement, logistics, inventory, and supplier collaboration. LLMs, combined with predictive analytics and natural language processing, enable businesses to navigate complex global supply chains with greater accuracy. Demand forecasting is a major application, with LLMs integrating economic trends, social sentiment, and news to predict market shifts better than traditional models. This dynamic forecasting helps industries like fashion and electronics adjust inventory in real-time and minimize waste, especially for perishable goods. LLMs also streamline supplier communication through AI chatbots and monitor supplier performance, predicting potential disruptions. In logistics, real-time data from GPS, traffic, and weather is used to optimize routes, cut fuel costs, and improve delivery rates. Warehouse management benefits from smarter stock placement and automated systems, speeding up fulfillment.
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