AI · Sustainability · E-commerce
TerraCart
An AI-powered shopping assistant designed to help people discover more sustainable alternatives while shopping online.
Timeline
When this piece of work started and where it stands today.
Started
1 Nov 2025
Status
Developing — in progress
Problem
Shopping sustainably online is mostly guesswork. Product pages optimise for conversion, claims are unverifiable, and comparing a greener alternative means opening five tabs mid-checkout. TerraCart puts the analysis where the decision happens — on the product page — and offers a concrete alternative instead of a lecture.
What I built
- E-commerce product analysis
- Sustainable alternatives
- AI research
- Shopping checklist
- Browser extension experience
Built by Andrew
Tech stack
Extension
Browser extensionProduct page parsingContent scriptsAI layer
Product understandingClaim researchAlternative matchingInterface
Inline panelComparison viewShopping checklistData
Product cacheCategory heuristicsSaved items
Challenges & how I solved them
Reading messy product pages
Every retailer structures pages differently. Parsing combines structured data where it exists with content-based extraction as fallback, so the panel still works on pages without clean markup.
Not inventing sustainability claims
The easy failure mode is a confident number with nothing behind it. Analysis separates verifiable attributes from unverified marketing claims and says so explicitly when evidence is thin.
Alternatives that are actually comparable
A greener product at four times the price is not a real option. Matching filters on function and price band first, then ranks on sustainability signals.
Results so far
- Status
- In developmentAnalysis and alternatives in progress.
- Surface
- Browser extensionWorks inline on product pages.
- Principle
- Evidence over scoresUnverified claims labelled as such.
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