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AI x Sustainability (1): Where does it fit?

AI has the potential to transform corporate responsibility by handling data-heavy tasks like reporting or data and KPI management. It hence can contribute to helping companies 'being less bad'. However, its potential to support professionals and companies in driving real positive impact is still developing. This post introduces AI’s current potenntial in corporate responsibility and sustainability. In upcoming blog posts we'll explore specific applications: in sustainability reporting, supply chain management, and integrating financial considerations with sustainability impact.
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GlobalisationGovernanceSupply Chain

Risky Fashion: The challenges of Integrating Product Design and the Supply Chain

The design stage is usually the longest, most expensive and riskiest part of the chain. Additionally, research has shown that at least an estimated 80% of a product's environmental (and to a lesser degree also social) impact is locked at the design stage into a product. By integrating the product design with the supply chain, companies can compress non-value adding time and costs in their supply chains, increase responsiveness and mitigate supply chain risks – while simultaneously managing (improving) their sustainability performance without added costs or efforts.
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Future TechMaterials

Signs of innovation – the example of Spider Silk

The current fashion and textile landscape is fairly limited in terms of what types of materials are being used. Innovation is key, and products such as Tencel, Sorona and Ingeo proof that industry is investing heavily in R&D. Spider Silk may be one of the few natural fibres of the future yet to see it hayday.
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