Companies are leveraging AI platforms to optimize production and reduce waste
Trend - Companies in the production, retail, and logistics spaces are looking to artificial intelligence (AI) models to reduce emissions. The AI models help optimize production, cut-out excess waste, better manage inventory, and improve overall sustainability using predictive and analytical models.
Insight - In recent years governmental regulatory bodies have placed increased pressure on businesses to reduce emissions and go green. As a response to this, many businesses have made green commitments with strict timeframes, often aiming to achieve net-zero emissions in a matter of a decade. These businesses aim to achieve these goals without reducing their profit margins, meaning they often do not want to hire new departments. As such, they are increasingly turning to analytical AI models.
Insight - In recent years governmental regulatory bodies have placed increased pressure on businesses to reduce emissions and go green. As a response to this, many businesses have made green commitments with strict timeframes, often aiming to achieve net-zero emissions in a matter of a decade. These businesses aim to achieve these goals without reducing their profit margins, meaning they often do not want to hire new departments. As such, they are increasingly turning to analytical AI models.
Workshop Question - How can your brand leverage AI models to optimize production and improve overall sustainability in response to increased pressure to reduce emissions?
Trend Themes
1. AI Optimization - Companies are leveraging AI platforms to optimize production and reduce waste.
2. Zero-waste Strategies - Businesses are adopting zero-waste patterns and strategies to curb waste in industries like fashion.
3. Climate Intelligence - Platforms are leveraging climate science, predictions, and analytics to provide insights for businesses to make informed decisions.
Industry Implications
1. Production - Analytical AI models can optimize production, cut out excess waste, and improve sustainability.
2. Fashion - AI tools can help fashion brands generate efficient zero-waste patterns, reducing fabric waste and promoting sustainability.
3. Climate Risk Management - Climate intelligence platforms can help businesses measure and mitigate climate-related risks, enhancing asset resilience and promoting sustainable investments.
5 Featured, 39 Examples:
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Date Range:
Mar 22 — Jul 23
Trending:
This Year and Warm
Consumer Insight Topics:
