Retail20255 Months
E-Commerce Analytics Dashboard
Real-time analytics platform processing millions of transactions daily.
ClientRetailForce Inc.
Retail
3M+
Daily Transactions
<2s
Report Latency
22%
Revenue Uplift
100%
Uptime on Peak Days
01 // The Challenge
The Problem
A D2C retail group processing 3M+ daily transactions had no unified view of operations. Decisions were made 48 hours late because analysts were stitching together data from 11 disparate sources in Excel. Seasonal surges caused complete reporting blackouts.
02 // The Solution
Our Approach
We built a real-time streaming analytics layer on Apache Kafka, with a Clickhouse warehouse backend and a custom React dashboard featuring live inventory heatmaps, predictive stockout alerts, and customer segment cohort analysis. Auto-scaling was configured to handle 10× peak traffic without degradation.
03 // The Outcome
Measured Results
- 3M+Daily Transactions
- <2sReport Latency
- 22%Revenue Uplift
- 100%Uptime on Peak Days
TechnologiesData AnalyticsCloudReact
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