Supa Retail
For Your Store: Elevate Retail, Simplify Success!"
Created on 2nd February 2025
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Supa Retail
For Your Store: Elevate Retail, Simplify Success!"
The problem Supa Retail solves
Multi-Source Data – Merges purchase history, demographics, and trends for accurate predictions.
Personalized Recommendations – AI suggests retail outlets based on shopping behavior.
Predictive Store Placement – Identifies profitable store locations using demand analysis.
Foot Fall Predictor-Helps to predict Foot fall for Particular Store
Sales Forecasting – Predicts sales trends to optimize inventory and staffing.
Geospatial Analytics: Use geospatial data + heatmaps to visualize high-demand areas and suggest store placement.
Sentiment Analysis: Scrape social media reviews to gauge customer perception of different stores.
AI Chatbot for Personalized Offers: A chatbot integrated with WhatsApp/SMS to suggest nearby stores and personalized deals.
Challenges we ran into
Creation of synthetic dataset.
Customer Behavior Complexity: Changing preferences make predictions difficult.
Personalization Challenges: Sparse data limits relevant recommendations.
Tracks Applied (1)
Core ML
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