Featured Project
AI-Powered Retail Analytics
A predictive analytics platform that helps retailers understand customer behavior, optimize pricing, and automate inventory restocking.
Timeline: 8–12 WeeksRole: End-to-end DeliveryServices: Strategy · Design · Build
The Challenge
Problem
- Retailers were struggling with overstock & understock issues.
- Manual tracking of customer behavior was inaccurate.
- Pricing decisions were not backed by data.
Our Response
Solution
- Created an AI model that predicts sales & demand based on seasons, weather & customer trends.
- Built a real-time dashboard for insights & forecasting.
- Automated price recommendations using ML models.
Tech Stack
ReactNext.jsNode.jsMongoDBTensorFlowAWS LambdaChart.js
Impact
- Reduced overstocking by 32%
- Increased sales conversions by 17%
- Saved 50+ man-hours/month through automation
Screens & Flows
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