AI-Driven Information Architecture: Visualising Supply Chain Transparency

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The Business Challenge:

Communicating complex Corporate Social Responsibility (CSR) data—specifically the multi-stage "Source-to-Bottle" journey of rapeseed and olive oil—often leads to "information fatigue". Traditional custom illustration for such detailed technical processes is typically time-prohibitive, creating a bottleneck for brands aiming to deliver authentic transparency initiatives.

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The Solution:​

I architected a Generative AI Workflow using Adobe Illustrator’s generative engine to develop a bespoke, modular visual language for the "Journey Matters" initiative. Collaborating directly with the CSR Manager, I mapped the supply chain milestones for two distinct origins:

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• Spanish EVOO: Visualising a fourth-generation organic farm utilising circular energy from olive pits and near-zero oxygen extraction.

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• British Rapeseed Oil: Illustrating a closed-loop system where Iberian pigs rotate fields to enrich soil, and rapeseed by-products are repurposed as protein-rich feed.

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The Technical Impact:​

• Production Agility: Leveraged generative AI to bypass traditional illustration bottlenecks, significantly reducing lead times while maintaining a premium, brand-aligned aesthetic.

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• Data-to-Narrative Synthesis: Acted as the strategic bridge between technical data—such as companion crop management and renewable energy tariffs —and human-centric storytelling.

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• Scalable Visual Assets: Developed a modular illustration system repurposable across digital hubs and physical point-of-sale, maximising the ROI of creative output.

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• Strategic Transparency: Provided the infrastructure for traceability from bottle to field, enhancing stakeholder trust through clear, educational visual pathways.