We are seeking a skilled professional to develop an AI/ML solution for scraping shoe prices and analyzing trending data for our website. The ideal candidate should have experience in web scraping, data analysis, and machine learning algorithms. You will be responsible for implementing a robust and efficient system to gather and interpret pricing data, providing insights that can drive our e-commerce strategy. If you have a passion for data and a strong understanding of market trends in the footwear industry, we want to hear from you!
Deliverable:
Use existing website created on Wix
Home grid: image, last sale, lowest ask, 24h change
Detail page: 30‑day history with a 7‑day forecast overlay
Daily price refresh for 20 “grail” SKUs
Baseline forecast to spot trends (aiming for ≈12% average error)
Nightly data written to a secure store; basic API for export
How it works
You collect public price information for your selected SKUs once per day.
You store that data safely and keep a history.
A simple, proven forecasting method projects the next week.
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