Muir.AI is a product-level intelligence platform that helps companies model and minimize their carbon impact while improving supply chain transparency and cost efficiency. It blends AI, procurement data, and sustainability modeling to deliver actionable insights like product carbon footprints, supplier sourcing, emission-reduction recommendations, and should-cost analysis.

Data-heavy UX: Users faced complexity when navigating emissions data, supply origins, and cost metrics—often in one overwhelming interface.

Lack of clarity: Users needed a clearer visual hierarchy to make sense of metrics like PCFs, cost breakdowns, and reduction recommendations.

Scalability concern: The platform had to grow with new features—like Reduction Engine, Supply Trace, and Product Origin—without losing usability.

We began with competitive benchmarking, then rebuilt the Information Architecture to prioritize clarity. Wireframes evolved into high-fidelity designs in Figma, always tested against user needs and client feedback.

A flexible design system ensured that as Muir.AI grew, new modules could integrate seamlessly without breaking usability.

Simplified Dashboard: Surfaced the most actionable emissions and cost insights up front.

Drill-Down Product Views: Structured, card-based layouts for product ID, supplier, cost, emissions, and recommendations.

Integrated Modules: Designed cohesive flows for key features like Supply Trace, Reduction Engine, and Product Origin.

Visual Card Architecture: Each dataset represented in consistent, scannable visuals.

We built a flow that starts with clear summaries, then lets users dive deeper:

Emissions reporting (Carbon Origin)

Supply chain tracing (Supply Trace)

Reduction strategies (Reduction Engine)

Cost & sourcing insights (Product Origin)

This layered experience transforms overwhelming datasets into a narrative users can follow and act on.

The design evolved alongside Muir’s agile product roadmap. We iterated wireframes and UIs in step with shifting requirements, ensuring accuracy and usability. Regular feedback loops with the client guaranteed pixel-perfect presentation of every data element.

The modular design system ensures Muir can introduce new tools—such as Supplier Engagement or PACT compliance—without disrupting usability. Every feature shares the same visual logic, giving the platform consistency no matter how it expands.

The redesigned platform delivered improved engagement, with users spending more time exploring their products’ carbon impact and insights. The Muir.AI team praised the precision and pixel-perfect UI, noting how visual alignment built greater trust in reporting and recommendations.

Thanks to the scalable design system, new modules like Reduction Engine and Supply Trace integrated seamlessly without compromising usability. Most importantly, the platform now simplifies carbon flow reporting and provides actionable paths to help companies reduce their footprint, contributing to a more responsible world, society, and environment.