E-Commerce Intelligence & BIIndia & Europe

PulseCommerce Analytics

Designed a modern Customer 360 data warehouse and automated Power BI / Tableau reporting suite unifying multi-channel sales.

Real-time

Reporting Cycle

12 Channels

Sources Unified

+26%

Ad Spend Efficiency

<15 min

Data Freshness

The Challenge & Context

The client operated stores across Shopify, Amazon, and offline distributor channels. Revenue, ad spend (Meta, Google), and return metrics were siloed in different apps, making blended customer acquisition cost (CAC) and customer lifetime value (LTV) calculations a 10-day manual exercise every month.

System Architecture & Design

Automated Airbyte ELT extractors, Google BigQuery serverless data warehouse, dbt for normalized star-schema dimensional modeling, and interactive Power BI executive reporting dashboards.

Technologies Utilized:

Google BigQuerydbtAirflowPythonPower BISQLGCP

Core Deliverables & Implementations

Multi-channel automated ingestion connectors aggregating Shopify, Amazon SP-API, Meta Ads, and Stripe

Enterprise star-schema data warehouse in Google BigQuery with automated nightly incremental runs

Unified Customer 360 view mapping cross-platform identity and repurchase cohorts

Executive Power BI dashboards tracking real-time blended ROAS, inventory turnover, and cohort LTV

Slack bot automated alerts triggering when return rates or acquisition costs breach thresholds

Measurable Business Impact

Consolidated 12 siloed data sources into a single source of truth, cutting financial reporting time from 10 days to zero.

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