ADA helped a leading Direct-To-Consumer player automate data collection to help accelerate business decisions
Retail
The Results
Eliminated manual data collection requirements.
Eliminated data discrepancy issues.
The Execution
The customer is a leading Direct-To-Consumer (D2C) player that invests in developing e-commerce capabilities for digital-first brands in the beauty, fashion, and personal care sector.
The company was previously collecting data from their managed brands manually, which resulted in data inaccuracies and delays in getting business insights for decision-making activities. They also had no visibility into data from their managed brands’ ecommerce platforms and marketplaces.
ADA helped build an end-to-end data pipeline and data warehouse on Amazon AWS to gather insights from multiple data sources covering sales, returns, inventories, and finance. ADA also built bespoke API connectors for various eCommerce platforms to enrich collected data.
The new data warehouse helped provide up-to-date and accurate data for data analytics and data science teams to create business intelligence dashboards and construct ML models.
The Approach
- Prediction for Y2023: 21,339 units (overall)
- Actual for Y2023: 22,067 units (overall)
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