inspiration
Predicting demand and calibrating price points is a hard problem. yet, many small businesses are stuck with inflexible prices when they make the wrong bets. we came up with this idea to let small businesses like restaurants be more profitable by capturing latent demand that is locked up at different price points without compromising on their quality of service.
What it does
Our app lets potential customers privately bid for lower prices for their favorite foods and lets restaurant owners accept bids selectively when they are having a particularly slow day.
How we built it
We built this as an android app with a django+docker backend running on google cloud vm. We have used the intuit payment api for credit cards, mapquest’s geospatial search api and eatstreet’s restaurant api for fetching menus.
Challenges we ran into
We had a lot of good ideas and we spent more time than we would have liked debating the pros and cons of each. Also, since we are complete beginners to android app programming, we faced a learning curve while implementing even seemingly straightforward features.
Accomplishments that we're proud of
having many innovative ideas and working together to create a team that is greater than the sum of its parts. we also designed and deployed our back end service early in the evening, which gave us a clearer idea about what we would implement on the front end.
What we learned
Never underestimate the complexity of solved problems and try to appreciate the forward thinking design has gone into a lot of things that we take for granted today.
What's next for meHungry
We would like to integrate with existing players in the restaurants and online ordering space to bring market-driven dynamic pricing to small and medium service businesses.
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