End-to-End Microsoft Fabric Solution

HyperScale Retail
Command Center

Transforming data from a passive record into an active business asset. Bridging the gap between demand signals and inventory action with Real-Time Intelligence.

Microsoft Fabric
PySpark
Prophet ML
Power BI
LATENCY
< 1 min

Alert latency, enabling instant response to stockouts vs traditional 24h delays.

FORECAST
30 Days

Accurate daily revenue forecast using Facebook Prophet time-series model.

AUTOMATION
100%

Fully automated pipeline from ingestion to actionable alerts.

The Retail Reality Gap

Modern retail is plagued by a disconnect between demand signals and inventory action. Traditional systems react too late.

Hidden Stockouts

High-demand items vanish from shelves before systems update. Customers see "Out of Stock" physically while the system says available.

Reactive Latency

Operations teams rely on 24-hour old reports. By the time a trend is spotted, the revenue opportunity is already lost.

Siloed Data

Historical sales data and real-time streams live in different worlds, making it impossible to correlate immediate trends with past performance.

The Solution Architecture

A robust end-to-end pipeline bridging data engineering and business action using the Medallion Architecture.

Subtitle

Description

Command Center Dashboard

"Single Pane of Glass" for Strategy and Operations

LIVE CONNECTION DirectLake Mode
Executive Insights
Operational Pulse

Total Historical Revenue

$8.30M
+12.5% YoY

Total Units Sold

5M
High Velocity

ACTIVE ALERT

Stockout Risk
Product #84879 velocity > 500

Revenue vs Forecast (Prophet Model)

Actual
Predicted
Week 1Week 2Week 3Week 4

Sales by Country

United Kingdom90%
Netherlands75%
EIRE60%
Germany45%
France30%

Technical Arsenal

Microsoft Fabric
Unified Analytics
PySpark
Data Engineering
Facebook Prophet
Time-series ML
DirectLake
Zero-copy Storage
KQL Database
Real-time Analytics
Power BI
Visualization
Data Factory
Orchestration
Fabric Activator
Automated Actions

Developed by Bhuvan PS

Specializing in Data Engineering and Analytics solutions. I build systems that don't just store data, but actively work to improve business outcomes through automation and predictive intelligence.