Retail and eCommerce

Amazon Seller Cuts Processing Time by 70% With Unified Analytics

Redefined data models & reporting frameworks to improve insight delivery at scale

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70%

Reduction in data integration time

30%

Higher decision-making accuracy

25%

Increase in operational efficiency

Client Overview

Our client is a leading aggregator of third-party sellers on the Amazon marketplace. They acquire established Amazon sellers, who then benefit from our client’s resources and expertise.

Our client needed a comprehensive data integration and analytics solution to support their rapid growth and complex business model of managing multiple Amazon FBA businesses.

Challenges

As brand count grew, data pipelines became more complicated to manage, and reporting delays increased, causing misalignment across marketing, finance, and operations teams.

Data Integration Complexity

Data from Amazon, Shopify, Facebook, and Google, with varying formats, rate limits, and authentication rules, made it complicated to create one consistent pipeline.

Transformation Overhead

Ongoing schema changes, outliers, and inconsistent field types across platforms added friction to data prep and delayed reliable KPI reporting.

Scalability Limitations

As more brands were onboarded, the system struggled to maintain query performance and resource efficiency across growing data volumes and multiple teams.

Solution

We built a scalable platform to consolidate data, streamline reporting, and support operational efficiency across analytics and inventory systems.

Data Extraction & Integration

Designed workflows to extract and unify multiple systems’ sales, campaign, and inventory data, resolving schema mismatches, sync delays, and platform-specific limitations.

Scalable Data Storage

Structured data into dedicated layers for raw and processed datasets, enabling efficient access, scalability, and role-based data governance across growing brand operations.

Transformation and Modeling

Built real-time dashboards that visualized campaign, sales, and inventory data across brands, enabling teams to monitor KPIs and interpret trends with clarity and speed.

Inventory Process Automation

Improved the internal inventory platform to automate purchase orders, invoicing, and fulfillment while supporting data alignment across brands, teams, and sales channels.

Business Impact

The re-engineered data platform accelerated insight delivery, improved decision-making, and supported brand growth with reliable, consolidated reporting.

Faster Data Integration

Automated pipelines reduced integration time by 70%, which helped teams access and use consolidated data for insights across functions.

Improved Decision Accuracy

Consolidating datasets into a single system increased the accuracy and reliability of metrics used for cross-brand performance tracking.

Higher Advertising ROI

A robust system with targeted data extraction contributed to a measurable lift in advertising ROI across key marketplace channels.

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