Cover Image for AI for Net-Zero Retail: Driving Sustainable Sourcing & Operations in Fashion & Food
Cover Image for AI for Net-Zero Retail: Driving Sustainable Sourcing & Operations in Fashion & Food
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AI for Net-Zero Retail: Driving Sustainable Sourcing & Operations in Fashion & Food

Registration
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About Event

Ripple Hosts

Carmo Ferreira da Silva

Bright Pixel Venture Capital (Sonae Group)

Laura Coppen

H&M Group Ventures

TL;DR

A dynamic discussion with investors, tech leaders, and retail operators exploring how AI could become a true driver of climate impact in retail operations. This is a space to share emerging ideas, and challenge assumptions about what’s really working in Retail. Whether you’re building, buying, or backing the next wave of solutions, bring your perspective and help shape where this transformation goes next.

Topic overview

Real-world challenges and trade-offs of deploying AI to reduce retail’s environmental footprint - especially in supply chain operations, where the climate impact is often most significant but hardest to measure and optimize.

AI is starting to play a significant role in reducing climate impact across retail operations, especially where energy, logistics, waste, and procurement intersect. Here are high-impact use cases of AI driving measurable climate outcomes in retail:

  • Demand Forecasting to Reduce Overproduction & Waste

  • Assortment & Sourcing Optimization for Sustainability

  • Customer Engagement & Behavior Nudging

What’s up for discussion?

  • Where is AI actually moving the needle on emissions, and where is the impact still theoretical or overstated? Real examples of what’s working and what’s not in Retail Operations (fashion, grocery)

  • How can retailers balance efficiency, cost savings, and climate goals - without relying on offsets or greenwashing?

  • What data and infrastructure gaps are preventing retailers from scaling their decarbonization efforts? What challenges exist in gathering data across the supply chain, and how can AI help improve access, enrichment, and utilization of this information?

  • How can investors and enterprise buyers better evaluate the credibility and scalability of B2B climate tech solutions?

  • What’s missing in the ecosystem - whether in technology, talent, or incentives / regulation - to accelerate adoption? What needs to be true for AI to help retail operations deliver on climate promises in a meaningful, measurable way?

Dream outcome

Promote an interesting discussion that leads to new collaborations, investments, and practical solutions in the space where AI, retail operations, and climate impact intersect.

We’d love for participants to walk away with a sharper understanding of what’s truly working - and where the next wave of investable, scalable climate-tech opportunities is emerging within retail and supply chains.

We are also hoping to connect with founders building in this space and investors

Who should attend?

Founders, operators (retailers / CPGs / consumer brands), and VC investors

Location
Table 19
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