Data & Analytics

Retail Analytics & Customer Intelligence Platform

Transforming retail operations through unified customer analytics, intelligent product recommendations, and real-time inventory visibility.

2M+

Customer Profiles Unified

200+

Stores Supported

100%

Say/Do Rate

Sector:Commercial

Client:National Retail Chain

Duration:8 months

Role:Data Platform Architecture & Analytics

Overview

EaseOrigin designed and delivered a customer intelligence platform for a national retail chain seeking to unify fragmented customer data, improve product recommendation accuracy, and optimize inventory allocation across 200+ store locations. The platform consolidated data from point-of-sale systems, e-commerce, loyalty programs, and supply chain feeds into a governed analytics layer powering real-time operational decisions.

The Challenge

The retailer's customer data was fragmented across six disconnected systems with no unified customer profile. Marketing campaigns relied on broad segmentation rather than behavioral insights, resulting in low conversion rates. Inventory allocation was driven by historical averages rather than demand signals, leading to frequent stockouts on high-demand items and excess inventory on slow movers. No infrastructure existed for real-time data processing or recommendation delivery.

Our Solution

EaseOrigin implemented a modern data stack anchored by Snowflake as the central warehouse, with dbt for transformation logic and Apache Airflow orchestrating 40+ data pipelines. Kafka streams provided real-time event ingestion from POS and e-commerce platforms. We built a customer identity resolution layer that unified 2M+ customer profiles, a recommendation engine powered by collaborative filtering, and Tableau dashboards providing store-level inventory optimization insights updated every 15 minutes.

Results

25% revenue increase from targeted marketing campaigns

40% improvement in inventory turnover across 200+ locations

2M+ customer profiles unified from six disparate data sources

Real-time inventory visibility with 15-minute refresh cycles

Recommendation engine serving personalized product suggestions

40+ automated data pipelines with built-in quality validation

Technologies Used

SnowflakedbtApache AirflowPythonTableauAWSKafkaRedis

Ready for Similar Results?

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