Tradera
Automated product listings
Writing descriptions discouraged sellers. Now, AI scans photos to auto-fill titles and categories, letting users list items instantly.
- 50% faster listing creation for users
- 10% increase in listing completion rate
Manual entry bottlenecked bulk pickups. Computer vision now drafts 50 listings in minutes directly from user photos.
A hyper-local sustainability platform connecting 8 million users to share surplus food, facilitating the redistribution of over 200 million portions.
Volunteers collecting surplus food from 8,000 commercial locations faced a bottleneck manually creating dozens of listings during pickups....
“I refused to put perfectly good food in the bin, so I ran down the street, hoping to find someone to give it to and I failed miserably.”
Mobile app for local food and item sharing to reduce waste and build community.
Cloud computing platform and on-demand infrastructure services.
Related implementations across industries and use cases
Writing descriptions discouraged sellers. Now, AI scans photos to auto-fill titles and categories, letting users list items instantly.
Barcodes capped the app at 5 markets. Visual AI now identifies waste from photos, unlocking expansion to 170+ countries.
Automated coding often hit a reliability wall. Now, non-coders build production-ready apps 20x faster via conversation.
Barcodes capped the app at 5 markets. Visual AI now identifies waste from photos, unlocking expansion to 170+ countries.
Rendering 9 photos took users 40 minutes. Scalable ML endpoints now finish the job in just 7.
Setup and data analysis held back shops for weeks. AI now runs those workflows, helping merchants land their first sale in days.
Serial testing bottlenecked development. Now, parallelized checks validate hundreds of complex conversation paths in seconds.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.