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Bharat Bandh leaves minimal impact in Coimbatore district
Bharat Bandh leaves minimal impact in Coimbatore district

The Hindu

time09-07-2025

  • Politics
  • The Hindu

Bharat Bandh leaves minimal impact in Coimbatore district

The nationwide general strike called by a forum of 10 central trade unions on Wednesday, opposing 'the anti-worker, anti-farmer and anti-national pro-corporate policies of the Union government', did not affect normalcy in Coimbatore district. While public transport services and private vehicles plied normally across the district, some of the inter-State bus services, especially the ones to Kerala, were affected. Tamil Nadu State Transport Corporation and SETC buses to Palakkad and other parts of Kerala from Ukkadam bus stand and Thiruvalluvar bus stand did not operate. Kerala State Road Transport Corporation buses also did not operate services to and from Coimbatore. Educational institutions, hotels, shops and other establishments functioned normally. Coimbatore city and district police said that no major disruptions to traffic due to protests and gatherings of trade unions were reported. A joint forum of 11 trade unions staged protests at six locations, namely BSNL office near Collectorate, Periyanaickenpalayam, Mettupalayam, Sulur, Pollachi, and Valparai in the district, drawing participation from over 3,000 workers. The strike was held to press for 17 key demands of the forum of the central trade unions. These included the withdrawal of the four new labour codes, implementation of International Labour Organisation Convention 81 to ensure workplace inspections, and immediate convening of the long-pending Indian Labour Conference. They also urged the government to fill vacancies in public departments and reopen all 23 NTC textile mills, including seven in Tamil Nadu. 'This strike is not just for workers but for the people's welfare,' said S. Krishnamoorthy, district secretary of the Centre of Indian Trade Unions. 'Privatisation affects essential services and job security.' He added, 'We want the government to hear the working class before implementing any reforms.'

Two try to enrol as lawyers using fake documents; held
Two try to enrol as lawyers using fake documents; held

Time of India

time14-06-2025

  • Time of India

Two try to enrol as lawyers using fake documents; held

Chennai: Two people, including a woman from Madurai, have been arrested after they attempted to enrol themselves as advocates with the Bar Council of Tamil Nadu and Puducherry by submitting forged educational documents. The suspects, Krishnamoorthy, 58, from Salem and Kavitha, 42, from Thirumangalam in Madurai, were lodged in prison. P olice said they submitted documents claiming to have completed law degrees from a university in Uttar Pradesh. Kavitha said she completed her three-year law degree from 2015 to 2018, while Krishnamoorthy submitted certificates showing he completed a five-year law course between 2013 and 2018. They had enrolled themselves as advocates with the Bar Council of Delhi in 2020, and obtained identity cards as well. Now they submitted a letter from the Delhi Bar Council seeking the transfer of enrolment to Tamil Nadu and Puducherry. Bar Council officials in Tamil Nadu forwarded their certificates to the university in Uttar Pradesh who said it was forged. Following this, the high court police were notified, who took both suspects into custody. by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like 5 Books Warren Buffett Wants You to Read In 2025 Blinkist: Warren Buffett's Reading List Undo Krishnamoorthy told police that he wanted to be a lawyer to make money, Kavitha said she wanted to handle personal legal issues within her family. However, both refused to reveal the identities of the brokers who facilitated the procurement of fake certificates. Follow more information on Air India plane crash in Ahmedabad here . Get real-time live updates on rescue operations and check full list of passengers onboard AI 171 .

From Rana Naidu Season 2 to Eleven to DD Next Level: Check out these Tamil OTT releases on Netflix, JioHotstar, Prime Video
From Rana Naidu Season 2 to Eleven to DD Next Level: Check out these Tamil OTT releases on Netflix, JioHotstar, Prime Video

Economic Times

time13-06-2025

  • Entertainment
  • Economic Times

From Rana Naidu Season 2 to Eleven to DD Next Level: Check out these Tamil OTT releases on Netflix, JioHotstar, Prime Video

DD Next Level Eleven Jinn - The Pet Rana Naidu Season 2 This weekend, Tamil OTT platforms are pulling out all the stops. From horror comedies and dark thrillers to supernatural fantasies and gritty crime sagas, there's something for every kind of viewer. Whether you're in the mood for a laugh laced with fear or a mystery that digs deep into the psyche, these new releases on Zee5 , AhaTamil, Prime Video, and Netflix deserve a place on your binge on: Zee5Santhanam returns to his signature horror-comedy territory with Devil's Double Next Level , the fourth instalment in the Dhilluku Dhuddu franchise. Directed by Prem Anand, the film follows Krishnamoorthy aka "Kissa 47", a film critic notorious for mocking horror movies, who finds himself trapped in a cursed film set on a haunted cruise ship. What starts off as a private screening turns into a terrifying reality as Kissa and the attendees must survive the twisted tropes they once ridiculed. With appearances by Selvaraghavan, Gautham Vasudev Menon, and Yashika Aannand, and production backing from Arya's The Show People, the film leans heavily into meta-humour, genre parody, and supernatural on: AhaTamil, Prime VideoEleven is a gripping crime thriller that walks the razor's edge between psychological horror and investigative drama. Directed by Lokkesh Ajls, the story revolves around Inspector Aravind (Naveen Chandra), who delves into a series of murders that all lead back to a mysterious school named Twin Bird—an elite academy that only admits twins. The deeper he investigates, the darker the secrets he uncovers. Strong performances by Abhirami, Reyaa, Ravi Varma, and Aadukalam Naren lend weight to the narrative, which blends strong visuals with a chilling premise. Released theatrically in May, it now arrives on OTT to reach a wider OTTplay PremiumJune 20A whimsical yet haunting tale, Jinn - The Pet offers a fantastical spin on supernatural folklore. Written and directed by debutant T.R. Bala, the story follows a man whose fascination with jinns leads him to trap and domesticate one, only to unleash chaos in his own life. The film features Mugen Rao and Bhavya Trikha in lead roles, with a supporting cast that includes Bala Saravanan, Imman Annachi, and Nizhalgal Ravi. Set against a fantastical backdrop, the narrative mixes comedy, emotion, and cautionary allegory, questioning human greed and the price of tampering with the unknown. It's a fresh addition to Tamil fantasy on: NetflixRana Naidu returns with Season 2, and the stakes are higher than ever. The gritty Netflix series dives back into the murky world of celebrity cover-ups, crime, and family betrayal. Rana Daggubati reprises his role as the no-nonsense fixer who manages the messes of India's elite, while Venkatesh Daggubati returns as his morally complex and volatile father, Naga Naidu. Directed by Karan Anshuman and Suparn S Varma, the second season offers eight intense episodes of power struggles, dark secrets, and emotional battles. Now streaming in multiple languages, including Tamil, it's a must-watch for fans of layered, high-stakes drama.

To avoid product shortages, big retailers are scrapping reactive methods for AI
To avoid product shortages, big retailers are scrapping reactive methods for AI

Yahoo

time03-06-2025

  • Business
  • Yahoo

To avoid product shortages, big retailers are scrapping reactive methods for AI

Retailers like Target and Walmart use AI to prevent stockouts and manage inventory. AI systems can predict demand to help improve inventory accuracy and availability. This article is part of "How AI Is Changing Everything: Supply Chain," a series on innovations in logistics. The adage "too much, too little, just right" isn't just for Goldilocks and her porridge. Balance is also critical in inventory management, the part of the supply chain responsible for analyzing what consumers will buy and making sure products are in stock at the right place and the right time. Excess inventory can lead to markdowns or expired goods, but too little product can lead to shortages that impact a retailer's brand image, customer satisfaction, and bottom line. To prevent inventory from running out, big-box retailers such as Target, The Home Depot, and Walmart are using AI to predict when product amounts could dwindle. As a result, Target's inventory availability has improved every year for the last four years, Prat Vemana, the executive vice president and chief information and product officer at Target, told Business Insider. AI can help retailers proactively adjust stock before disruption strikes rather than reacting to changing conditions, said Ajoy Krishnamoorthy, the CEO of inventory-management platform Cin7. That's especially critical today, Krishnamoorthy added, when factors like consumer behavior, inflation, and trade policy constantly impact supply chains. "AI thrives in this environment," Krishnamoorthy said. Traditionally, companies procure inventory, manage logistics, and analyze consumer behavior in silos, said Vidya Mani, an associate professor of business administration focused on technology and operations management at the University of Virginia. Teams do individual research, then come together to develop a strategy and execute it. "We no longer have that time," Mani said. "By the time you finish doing it, the world will have changed on you." Before Target started using AI to predict stockouts, the retailer relied on software-based applications, which didn't react or adapt to real-world changes as quickly as AI systems, according to Vemana. In fact, Target said in a blog post that it previously failed to catch half of its products that were out of stock because the technology they used thought that inventory existed when it actually didn't. Target changed how it managed inventory in 2023 with the introduction of Inventory Ledger, an internal tech system that tracks inventory changes across stores and uses AI to predict when products might be out of stock "even before it's obvious to team members or systems," Vemana said. Today, Target uses AI-driven inventory management for more than 40% of its product assortment, which is more than double when it started two years ago, Vemana said. With Inventory Ledger, algorithms pull in data like supply lead times, transportation costs, current inventory, and consumer demand. Some models are more accurate for frequently purchased categories, and others are better suited to discretionary purchases or clearance items, so Target uses both kinds. There are also models that detect items that are in the store but in the wrong aisle or shelf, Vemana said. Target has a demand forecasting tool that "makes billions of predictions each week about how many units of each item we'll need in stores and online," Vemana said. Together, all of these technologies guide employees' decisions about when, where, and how to reorder products and replenish stock. "Combining traditional software with AI helps us make smarter, faster decisions about inventory management and keep our stores stocked more consistently," Vemana said. One of Cin7's customers, ABC School Supplies, is also using AI to access real-time sales data, potential stock shortages, and supplier lead times, so it can "reorder proactively and avoid costly gaps in supply," Krishnamoorthy said. The AI-driven inventory management marks a big change from what ABC School Supplies did in the past. It used to copy and paste website orders into its system, make a pick-and-pack list on paper, walk that physical list over to the warehouse, and manually update inventory, Krishnamoorthy said The Home Depot is also taking an AI-based approach to inventory. In 2023, the retailer rolled out a machine-learning-powered app called Sidekick, which guides store workers to restock shelves and find products on overhead shelves, among other features. "It helps make sure products are on shelves for our customers, and it manages our on-hand accuracy, which feeds to our replenishment and selling platforms," a spokesperson for The Home Depot said. Krishnamoorthy said that in retail, "AI is exploding" as businesses move away from static planning to dynamic forecasts that anticipate demand and prevent stockouts. AI allows businesses to get more granular with their inventory data, avoiding stockouts at particular store locations or during peak times. Mani gave the example of cosmetics and how different stores will have varying product needs based on consumer demographics. "AI can figure out those patterns of baskets that are bought frequently in these different clusters," Mani said. "You don't need to feed it that contextual information." Target is also working on technology that predicts which colors and sizes of seasonal items will sell, so it can stock those items in specific stores "to meet local demand," Vemana said. At Walmart, AI-based inventory management systems use algorithms to make sure stores in warmer states have the right amount of pool toys and colder states stock enough sweaters, according to a press release on the company's website. If a particular item isn't selling on the East Coast but it's flying off shelves in the Midwest, algorithms flag that pattern so Walmart can reposition its inventory. As retailers continue to develop and deploy AI tools, Mani predicts the technology's use cases will advance over the next decade. Mani said that in two to three years, AI will likely flag stockouts without a person needing to walk into a store to confirm. Five years out, AI could automatically reorder inventory when algorithms detect that stock is running low. And in 10 years, AI would understand how macroeconomic events (like inflation) will change future consumer purchase behavior patterns and adjust inventory plans accordingly. "It will feed it into your rulemaking rather than reacting to the situation," Mani said. "You'll be living in a different world." Read the original article on Business Insider Sign in to access your portfolio

To avoid product shortages, big retailers are scrapping reactive methods for AI
To avoid product shortages, big retailers are scrapping reactive methods for AI

Business Insider

time03-06-2025

  • Business
  • Business Insider

To avoid product shortages, big retailers are scrapping reactive methods for AI

The adage "too much, too little, just right" isn't just for Goldilocks and her porridge. Balance is also critical in inventory management, the part of the supply chain responsible for analyzing what consumers will buy and making sure products are in stock at the right place and the right time. Excess inventory can lead to markdowns or expired goods, but too little product can lead to shortages that impact a retailer's brand image, customer satisfaction, and bottom line. To prevent inventory from running out, big-box retailers such as Target, The Home Depot, and Walmart are using AI to predict when product amounts could dwindle. As a result, Target's inventory availability has improved every year for the last four years, Prat Vemana, the executive vice president and chief information and product officer at Target, told Business Insider. AI can help retailers proactively adjust stock before disruption strikes rather than reacting to changing conditions, said Ajoy Krishnamoorthy, the CEO of inventory-management platform Cin7. That's especially critical today, Krishnamoorthy added, when factors like consumer behavior, inflation, and trade policy constantly impact supply chains. "AI thrives in this environment," Krishnamoorthy said. From old methods to AI Traditionally, companies procure inventory, manage logistics, and analyze consumer behavior in silos, said Vidya Mani, an associate professor of business administration focused on technology and operations management at the University of Virginia. Teams do individual research, then come together to develop a strategy and execute it. "We no longer have that time," Mani said. "By the time you finish doing it, the world will have changed on you." Before Target started using AI to predict stockouts, the retailer relied on software-based applications, which didn't react or adapt to real-world changes as quickly as AI systems, according to Vemana. In fact, Target said in a blog post that it previously failed to catch half of its products that were out of stock because the technology they used thought that inventory existed when it actually didn't. Target changed how it managed inventory in 2023 with the introduction of Inventory Ledger, an internal tech system that tracks inventory changes across stores and uses AI to predict when products might be out of stock "even before it's obvious to team members or systems," Vemana said. Today, Target uses AI-driven inventory management for more than 40% of its product assortment, which is more than double when it started two years ago, Vemana said. With Inventory Ledger, algorithms pull in data like supply lead times, transportation costs, current inventory, and consumer demand. Some models are more accurate for frequently purchased categories, and others are better suited to discretionary purchases or clearance items, so Target uses both kinds. There are also models that detect items that are in the store but in the wrong aisle or shelf, Vemana said. Target has a demand forecasting tool that "makes billions of predictions each week about how many units of each item we'll need in stores and online," Vemana said. Together, all of these technologies guide employees' decisions about when, where, and how to reorder products and replenish stock. "Combining traditional software with AI helps us make smarter, faster decisions about inventory management and keep our stores stocked more consistently," Vemana said. One of Cin7's customers, ABC School Supplies, is also using AI to access real-time sales data, potential stock shortages, and supplier lead times, so it can "reorder proactively and avoid costly gaps in supply," Krishnamoorthy said. The AI-driven inventory management marks a big change from what ABC School Supplies did in the past. It used to copy and paste website orders into its system, make a pick-and-pack list on paper, walk that physical list over to the warehouse, and manually update inventory, Krishnamoorthy said The Home Depot is also taking an AI-based approach to inventory. In 2023, the retailer rolled out a machine-learning-powered app called Sidekick, which guides store workers to restock shelves and find products on overhead shelves, among other features. "It helps make sure products are on shelves for our customers, and it manages our on-hand accuracy, which feeds to our replenishment and selling platforms," a spokesperson for The Home Depot said. AI's predictive power for inventory planning Krishnamoorthy said that in retail, "AI is exploding" as businesses move away from static planning to dynamic forecasts that anticipate demand and prevent stockouts. AI allows businesses to get more granular with their inventory data, avoiding stockouts at particular store locations or during peak times. Mani gave the example of cosmetics and how different stores will have varying product needs based on consumer demographics. "AI can figure out those patterns of baskets that are bought frequently in these different clusters," Mani said. "You don't need to feed it that contextual information." Target is also working on technology that predicts which colors and sizes of seasonal items will sell, so it can stock those items in specific stores "to meet local demand," Vemana said. At Walmart, AI-based inventory management systems use algorithms to make sure stores in warmer states have the right amount of pool toys and colder states stock enough sweaters, according to a press release on the company's website. If a particular item isn't selling on the East Coast but it's flying off shelves in the Midwest, algorithms flag that pattern so Walmart can reposition its inventory. As retailers continue to develop and deploy AI tools, Mani predicts the technology's use cases will advance over the next decade. Mani said that in two to three years, AI will likely flag stockouts without a person needing to walk into a store to confirm. Five years out, AI could automatically reorder inventory when algorithms detect that stock is running low. And in 10 years, AI would understand how macroeconomic events (like inflation) will change future consumer purchase behavior patterns and adjust inventory plans accordingly. "It will feed it into your rulemaking rather than reacting to the situation," Mani said. "You'll be living in a different world."

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