Making pharma deliveries more sustainable
Hyderabad: On Wednesday, DHL Express has partnered with Sai Life Sciences to use DHL's emission-reduced shipping solution – GoGreen Plus (GGP).
The partnership provides Sai Life Sciences with a greenhouse gas emissions reduction of up to 90 per cent for its international logistics needs. Sai Life Sciences works with over 300 global innovator pharma and biotech companies to accelerate the pace of their drug discovery, development and commercialisation.
R S Subramanian, senior vice president – South Asia, DHL Express, said, 'Addressing Scope 3 emissions is critical to DHL for achieving the commitment to be carbon neutral by 2050. GoGreen Plus is a pioneering service that helps our customers address Scope 3 carbon emissions of their critical shipments to global destinations.'
Sivaramakrishnan Chittor, CFO, Sai Life Sciences added, 'Our partnership with DHL reflects a shared commitment to reducing environmental impact while maintaining the reliability and precision that our customers depend on. It's one more way we're integrating sustainability into how we work – with intent and consistency – to make it better together.'
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Fibre2Fashion
7 hours ago
- Fibre2Fashion
Tech & green values drive new online shopping trends: DHL
AI and social commerce are-redefining the online shopping experience, while fast and reliable delivery is proving crucial to converting carts into purchases. At the same time, sustainability is becoming a key driver of customer loyalty, as consumers increasingly align their buying habits with environmental values. These trends are collectively reshaping the future of e-commerce, as per the insights from DHL E-commerce's newly released E-Commerce Trends Report 2025. The report is based on responses from 24,000 online shoppers across 24 key global markets. It features eight chapters, profiling six shopper types and four generational segments, and explores how shifting consumer expectations are redefining the future of online retail. AI, social commerce, and sustainability are reshaping online retail, according to DHL's E-Commerce Trends Report 2025. It highlights growing demand for AI features, social platform purchases, and sustainable practices. Fast, flexible delivery and easy returns remain essential for cart conversion, while trust and environmental values increasingly drive consumer loyalty and purchasing decisions. "It's important to recognise that there isn't just one type of online shopper or one type of market. The reasons for cart abandonment can vary widely. Our E-commerce Trends Report analyses the trends and developments shaping online shopping worldwide to help our customers grow their businesses. Logistics plays a crucial role in this process, and we see ourselves as a vital partner, offering our customers relevant insights, expertise, and solutions to drive their success," said Pablo Ciano, CEO of DHL E-commerce . DHL's latest e-commerce trend report reveals that AI is one of the most highly anticipated and demanded innovations among consumers, with 7 in 10 shoppers globally wanting retailers to offer AI-powered shopping features. Virtual try-ons, AI-powered shopping assistants, and voice-enabled product search top the list of features consumers actively want to use. Shopping via voice commands is already on the rise, with 37 per cent of global shoppers — and nearly half of social commerce users — making purchases hands-free. As digital expectations rise, so does the demand for intuitive, tech-enabled shopping journeys that blend utility with delight. The traditional e-commerce website is increasingly being replaced — or bypassed — by social platforms. Consumers are turning to apps like TikTok, Instagram, and Facebook not just for discovery, but for purchase. Seven in ten shoppers say they have already made a purchase via social media, and that same proportion expects these platforms to become their primary shopping destination by 2030. The power of influence also plays a critical role: 82 per cent of shoppers say viral trends and social buzz influence their buying decisions. TikTok in particular is driving change in markets such as Thailand, where 86 per cent of online shoppers report buying through the app, and globally among Gen Z, where almost 50 per cent are already using the platform to purchase. This shift signals a major transformation in how and where brands need to engage with their audiences, and calls for seamless, mobile-native experiences built for in-app conversion. While new technologies continue to transform the digital shopping experience, it's the fundamentals of delivery and returns that remain the biggest drivers of cart abandonment. Shoppers aren't willing to compromise when it comes to convenience, flexibility, and control. In fact, 81 per cent of consumers say they will abandon their purchase if their preferred delivery option isn't available. Just as critically, 79 per cent will leave if the return process doesn't match their expectations. Trust also plays a major role, with three out of four shoppers reporting that they will not buy from a retailer if they don't trust the delivery and returns provider. These expectations emphasise the importance of transparent, customer-centric logistics strategies — not just as an operational concern, but as a core part of the conversion funnel. Sustainability has evolved from a brand differentiator into a core consumer demand. Globally, 72 per cent of shoppers now consider sustainability when making online purchases. For many, this goes beyond packaging or shipping — one in three shoppers have abandoned their carts due to sustainability concerns. Among Gen Z, this figure spikes to nearly one in two. Consumers are also embracing more circular models of consumption, with over half opting for pre owned or refurbished goods, motivated by both environmental values and cost efficiency. Additionally, 58 per cent of shoppers express willingness to participate in recycling or buy-back programmes offered by retailers. These behaviours point to a growing expectation that brands will not only reduce their footprint but actively empower consumers to shop more sustainably. Insights from DHL' E-Commerce Trends Report provides a clear roadmap for retailers aiming to capture the attention of today's diverse shopper demographics. By embracing technology, prioritising sustainability, and understanding the evolving preferences of consumers, businesses can transform challenges into opportunities.
Fibre2Fashion
2 days ago
- Fibre2Fashion
Belgium's Solvay & BASF partner for sustainable HâOâ production
Solvay and BASF announced to jointly focus on a meaningful reduction in scope 3 greenhouse gas emissions within the hydrogen peroxide supply chain. Solvay has selected BASF as the primary supplier of aluminum chloride for its Linne Herten plant in the Netherlands, a key input in the production of anthraquinone, which is essential for manufacturing hydrogen peroxide. BASF was chosen for its ability to provide aluminum chloride with a signifi cantly lower carbon footprint compared to Solvay's previous sourcing. Solvay and BASF are partnering to cut Scope 3 emissions in the hydrogen peroxide (Hâ‚‚Oâ‚‚) supply chain. Solvay will now source low-carbon aluminum chloride from BASF in Germany, reducing related emissions by over 50 per cent. The move supports Solvay's 2030 sustainability goals and highlights the role of strategic sourcing in greener chemical production. The shift from sourcing aluminum chloride from India to BASF in Germany is projected to decrease the carbon footprint associated with this raw material by over 50%. While acknowledging that broader industry change requires many such initiatives, this partnership demonstrates a concrete step towards more sustainable chemical production. 'This collaboration with BASF is a tangible step forward in achieving our sustainability objectives,' said Carlos Silveira, President of Solvay Peroxides. 'By prioritizing partners with more environmentally sound practices, we are making our supply chain more effi cient and reducing our emissions.' 'We are committed to supporting our customers in their efforts to reduce CO2 emissions and to further explore their markets with low-carbon products,' said Michael Wind, Vice President Inorganic Chemicals at BASF. 'Our Aluminum Chloride LowPCF (Product Carbon Footprint) based on renewable instead of fossil-based energy shows our focus on developing more sustainable products to enable the green transformation of our customers.' The Solvay Linne Herten plant produces key chemicals, including those used in disinfectants. In 2020, the site underwent the installation of a solar farm that provides around 40% of its electricity, contributing to a reduction in yearly CO2 emissions of approximately 17%. Both Solvay and BASF are participants in the 'Together for Sustainability' initiative, which promotes sustainable practices within the chemical supply chain. This collaboration aligns with Solvay's broader commitment to reduce its Scope 3 emissions by 20% by 2030 and highlights the role of strategic sourcing in reducing the environmental footprint of the chemical industry. Note: The headline, insights, and image of this press release may have been refined by the Fibre2Fashion staff; the rest of the content remains unchanged. Fibre2Fashion News Desk (HU)
India Today
4 days ago
- India Today
Why AI in supply chain is the next big career wave in logistics and tech
Artificial Intelligence (AI) and Machine Learning (ML) are revolutionising supply chain management by reshaping how companies handle logistics, forecasting, and customer technologies unlock unprecedented opportunities for efficiency, agility, and innovation by leveraging vast data resources to drive decision-making, automate complex processes, and optimise global markets become increasingly dynamic, AI and ML are not just enhancements but essential tools for competitive FORECASTING AND INVENTORY OPTIMISATION One of the critical applications of AI in supply chain management is demand forecasting. AI-driven models analyse historical sales patterns, seasonality, and external factors like weather and economic trends to predict customer demand with remarkable Walmart employs ML algorithms to optimise inventory management, reduce instances of overstock or stockouts, and fine-tune replenishment approach has not only cut inventory costs but also enhanced customer satisfaction by ensuring product CHAIN RISK MANAGEMENTSupply chains are often vulnerable to disruptions caused by geopolitical events, weather anomalies, or supplier algorithms help businesses detect and predict these disruptions by analysing complex datasets and providing real-time IBM's Supply Chain Insights leverages Watson AI to monitor and assess risks, offering actionable insights to mitigate potential disruptions before they impact operations. advertisement LOGISTICS AND ROUTE OPTIMISATIONEfficient transportation and delivery routes are crucial for reducing operational costs and meeting customer algorithms analyse factors like traffic, weather, fuel prices, and delivery schedules to suggest optimal DHL uses AI-powered systems for dynamic route optimisation, reducing fuel consumption and improving delivery speeds. These advancements enhance both environmental sustainability and operational RELATIONSHIP MANAGEMENTMaintaining strong relationships with suppliers is key to a seamless supply chain. AI tools assess supplier performance by evaluating metrics such as delivery timeliness, material quality, and adherence to contract Unilever employs ML to evaluate supplier performance and improve sourcing decisions, ensuring high-quality materials at cost-effective rates. WAREHOUSE AUTOMATIONAI and robotics are transforming warehouse operations by automating tasks such as picking, packing, and sorting. These advancements reduce labour costs, improve accuracy, and speed up order Amazon integrates AI-driven robots in its warehouses to streamline inventory handling and enhance efficiency in order CONTROLML models analyse production data to identify potential defects before products are shipped, ensuring high quality and reducing Siemens applies AI in its manufacturing processes to detect defects early, minimising disruptions and maintaining product MAINTENANCEAI systems monitor machinery and predict maintenance needs, helping companies avoid unplanned downtimes and expensive Caterpillar leverages AI to forecast equipment failures, ensuring continuous operations and improving productivity. CUSTOMER SERVICE ENHANCEMENTAI-powered chatbots and personalised recommendation systems elevate customer experiences by providing instant support and tailored product Zara uses AI to deliver real-time inventory updates and recommend products based on customer preferences, enhancing the shopping BUSINESS USE CASES1. Tesla: relies on AI for inventory management, predictive maintenance, and demand forecasting to maintain smooth electric vehicle production.2. FedEx: AI tools help FedEx predict delivery times, optimise routes, and improve forecast accuracy for package deliveries.3. Procter & Gamble (P&G): uses ML to streamline production planning, enhance inventory management, and align supply with market demand.4. Alibaba: The company's 'Smart Logistics' system leverages AI to optimise warehouse operations, predict delivery times, and enhance supply chain Nike: Integrates AI for demand forecasting and inventory management, enabling quicker adaptation to customer preferences while minimising waste. BENEFITS OF AI AND ML IN SUPPLY CHAIN MANAGEMENT1. Cost Reduction: Optimising routes, inventory levels, and resource allocation significantly lowers operational costs.2. Increased Efficiency: Automating repetitive tasks such as order picking, demand planning, and shipment tracking boosts productivity.3. Enhanced Visibility: Real-time data and predictive insights provide comprehensive supply chain transparency.4. Customer Satisfaction: Faster deliveries and personalised experiences improve customer loyalty.5. Resilience: AI-driven adaptability enables businesses to respond swiftly to supply chain disruptions and fluctuating AND CONSIDERATIONS1. Data Quality and Integration: Accurate data is crucial for AI-driven insights, necessitating robust data collection and integration processes.2. Initial Investment: Implementing AI and ML solutions often requires significant upfront investment in technology and infrastructure.3. Skill Gaps: There is a growing need for skilled professionals to develop, manage, and interpret AI and ML integration of AI and ML into supply chain management marks a significant shift towards smarter, more responsive, and more efficient operations. While challenges remain, the potential benefits far outweigh the technology continues to advance, businesses that embrace AI-driven supply chain strategies will be better positioned to thrive in an increasingly complex and competitive market.- Article by Manoj Kumar Tiwari, Director, IIM Mumbai; Professor, Industrial and Systems Engineering, IIT Kharagpur
