Runtime Revolution helped a leading Amazon brand acquirer achieve a $1B valuation faster and more profitably than any US company.
6 min read
July 22, 2025
Company
Leading Amazon Brand Acquirer
Industry
e-Commerce
Timeline
2019 - 2024
Location
USA and Europe
Team
Started with a team of 2 developers and grow up to 15 developers
This company faced the challenge of managing and leveraging massive amounts of data across thousands of products. They needed a unified source of truth to enable data-driven decision making, support business users with flexible analytics, and take advantage of special Amazon events. We partnered with them to build a robust data platform that ingests, enriches, and analyzes Amazon Marketplace data in real time, empowering the business to optimize inventory, pricing, and performance seamlessly as the company continues to acquire and scale new brands.
10,000+
products in the catalog
60+
category-leading products
Team Behind the Build
João Gomes
Team Leader
João Silva
Developer
João Costa
Team Leader
Rui Pinto
Developer
Technologies
Challenges
Create a unified source of truth for all products in the catalog.
Establish a data-driven competitive edge by gathering massive amounts of product data and enabling business users to generate any needed metrics.
Capitalize on special Amazon Marketplace events (Prime Day, Cyber Monday, Black Friday, and Lightning Deals) to maximize performance and profitability.
Solution
The platform integrates data from Amazon Marketplace Web Services (MWS) APIs to gather comprehensive information on products, inventory, orders, shipments, returns, and other key operational metrics across all Amazon stores. To enhance this data, it also incorporates third-party sources such as Keepa and SentryKit, adding insights like price history, product badges, best seller status, and category rankings.
This enriched data powers daily operations and supports critical sales events like Prime Day and Black Friday, helping detect anomalies, monitor pricing, and anticipate performance issues to ensure optimal product performance.
Whenever a new Amazon seller is acquired, the platform pulls in two years of historical data and begins ingesting real-time updates. This enables immediate visibility into performance trends.
The processed data is delivered to the business team, where it's used to forecast stock, manage shipping, optimize pricing strategies, and guide performance analysis.
Client’s feedback
Let’s start with a call that actually matters.
Tell us what you're building—and we’ll tell you what it needs.
We don’t sell code. We build relationships. Our process is designed for speed, clarity, and long-term success—whether you need an MVP or a full-scale product team.
Step 1
In-depth discovery to understand your business
We start with a deep conversation—your goals, your users, your stack. No rush, no shallow questions. Just real curiosity and product thinking.
Step 2
Strategic planning tailored to your stage and goals
Together, we define the right approach: team setup, scope, tools, and timing. You get a flexible roadmap—not a rigid quote in a PDF.
Step 3
Embedded delivery with constant collaboration
We integrate with your team and ship fast—with full-stack talent across design, dev, and QA. Expect frequent check-ins, shared Slack channels, and no disappearing acts.
