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Team Members
Inspiration
When I visited the grocery store near my home. Seller always recommend the same product every time. Would be better if they know what i love...
What it does
- Identified Customers (Face Identification)
- Providing Customer Demographics (Gender / Age)
- Recommend products to customers (at Checkout Counter / Printed Receipt)
- Collect Customer Satisfaction
How I built it
Self-trained ML for Product Recommender
- Customer Demographics
- Shopping Cart
- Inventory availability
- Transaction History
- Business Rules
Pre-trained ML
- Cognitive Services
Challenges I ran into
- Data source
- Models and Evaluations
Accomplishments that I'm proud of
- Customer Identification from Face
- High Precision
- Social Sharing
What I learned
- Higher Precision is significant when Cashier recommend product to customer
What's next for SHOP ML
- Analyze Customer Journey in-store
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