Inspiration
The Daisy Intelligence challenge statement.
What it does
Helps optimize inventory quantities by recommending restock quantity adjustments based on the rise or fall in sales.
How we built it
- Backend: Python and Flask
- Frontend: HTML and CSS
- Self-populated database used to obtain number figures
- UI designed using Figma
Challenges we ran into
- Setting up our development environment
- Connecting our database with the Flask backend
Accomplishments that we're proud of
- Learned to utilize Flask
- Learned the fundamentals of UI/UX design through Figma
- Gained insight on the internal structuring of an application
What we learned
see answer to previous question
What's next for SYDE Order
- Implementation of an AI to determine ideal product pairings
- AI to determine the ecological footprint of various items in the market
- Historical data of the product
- Customer reviews
- Extract data from a real-time retailer’s database
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