Data Integration for Retail Apparel and Fashion

Unify POS, e-commerce, inventory, and supply chain data to reduce stockouts, optimize fulfillment, and power personalized experiences across channels.

Talk to sales

Industry-Specific Outcomes

Inventory visibility across stores and e-commerce

Customer 360 profiles for personalized recommendations

BOPIS and ship-from-store order routing

Returns processing and restocking automation

Demand forecasting with POS and social data

Data engineering resources

Popular Connector Workflows

Source System

Destination

Use Case

Shopify

BigQuery

Inventory and sales analytics

Instagram

Snowflake

Social engagement and trend analysis

Facebook Marketing

BigQuery

Campaign performance and customer acquisition

Google Ads

Snowflake

Marketing attribution and ROI tracking

Klaviyo

BigQuery

Email campaign performance and customer segmentation

Retail Data Pipeline Architecture

From POS, e-commerce, and inventory systems through Airbyte to analytics and personalization engines.

A lot of our legacy infrastructure was handled externally, and we are looking to build it internally to reduce the reliance on our external agency and improve management of the pipelines. For example, our current Airbyte setup has a single destination, PostgreSQL, with Freshdesk, Google Sheets, and SFTP successfully syncing data in. We first tried Airbyte with the publicly available Exchange Rate API, following the tutorial. Afterward, we used the CDK to build an SFTP connection to our Postgres database. It was very straightforward.