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

Sector:Commercial

Client:National Retail Chain

Duration:8 months

Scope of work:Data Platform Architecture & Analytics

Program experience below reflects work performed by EaseOrigin personnel as employees of the organizations named. EaseOrigin LLC was not the contracting entity on these programs and does not claim them as corporate past performance.

Overview

A national retail chain needed fragmented customer data unified, recommendation accuracy improved, and inventory allocation optimized across 200+ store locations. The platform consolidated point-of-sale, e-commerce, loyalty, 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.

The Solution

The data stack is anchored by Snowflake as the central warehouse, with dbt handling transformation logic and Apache Airflow orchestrating 40+ pipelines. Kafka streams carry real-time events from POS and e-commerce platforms. A customer identity resolution layer unified 2M+ profiles, a recommendation engine runs collaborative filtering, and Tableau dashboards refresh store-level inventory insights every 15 minutes.

Results

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

Streaming event ingestion from point-of-sale and e-commerce

Store-level analytics available across 200+ locations

Technologies Used

SnowflakedbtApache AirflowPythonTableauAWSKafkaRedis

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