FinTech & Analytics
E-Commerce Intelligence
RetailFlow Corp—2024
Scroll
25%
Sales Increase
40%
Storage Savings
99%
Prediction Accuracy
Auto
Reordering
01 / The Challenge
Identifying the bottleneck.
The client was losing 20% of revenue to stockouts and another 15% to overstocking storage fees. Their manual inventory spreadsheets couldn't keep up with fluctuating seasonal demand.
02 / The Solution
Engineered for scale.
We built a predictive inventory engine. By analyzing 3 years of historical sales data and correlating it with market trends, our system now automates reordering and predicts demand spikes with 99% accuracy.
Demand Forecasting
Auto-Restock
Multi-Warehouse Sync
Profit Analytics
Technology Stack
Vue.jsDjangoRedisPostgreSQLCeleryStripe
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