2prefer – Personal recommendations system
2prefer was an early personal recommendation app designed to simplify everyday decisions long before generative AI made this approach common. Its focus was on one critical moment: deciding how and when to move during the day.
The app combined multiple data sources into a single recommendation engine, including your calendar events, weather forecasts, traffic conditions, and personal preferences. Instead of forcing users to compare options manually, 2prefer delivered one clear, actionable recommendation at exactly the right time.
A key feature was smart timing. 2prefer notified users not only how to travel, but also when to leave — in the morning and throughout the day – based on real-time conditions and upcoming plans.
Recommendations supported multimodal transport, such as:
- bike + public transport
- car + P+R + public transport
- pure public transport, motorbike, bike or car, when appropriate
The impact was practical and immediate. 2prefer removed the mental load of checking multiple apps every morning, reduced decision fatigue, saved time and money, and gently encouraged more sustainable mobility choices – without forcing behavior or adding friction.
By delivering the best answer at the right moment, 2prefer helped people move smarter, cheaper, and more consciously.