Our client is an e-commerce agency that supports online sellers with channel sales, fulfillment, advertising, and creative services. As demand grew, they identified the need for a dedicated backend platform to help sellers manage operations more efficiently. We partnered with them to build an e-commerce backend system that manages product listings, generates reports, and schedules alerts.
Reporting is a core feature of the platform, giving sellers visibility into sales, advertising performance, and compliance data. As usage increased, so did the number of SP-API calls. However, the real issue was not volume alone, but the rising number of error calls.
With Amazon introducing stricter SP-API usage limits and pricing for public platforms, the client needed to rethink its reporting approach. The goal was to reduce error-driven API usage and stay comfortably within the Basic plan limits without impacting the seller experience.
Error calls in reports were a major contributor to the SP-API usage. In November 2025, the system recorded over 238.2k total API calls, out of which 218.6k were tied to reporting. This usage included 22.1K error calls, and since failed requests still count toward SP-API limits, this behavior was inflating overall usage.
Key challenges identified:
To reduce SP-API errors and throttling, our team tweaked the reporting workflow to make it more deliberate and paced. This significantly helped cut down unnecessary retries while keeping report delivery reliable for sellers.
Key changes implemented:
For public seller platforms, API errors are more frequent than failed requests, as they directly translate into higher costs. High error volumes often point to inefficient workflows and add no value to sellers.
By reducing error calls, platforms can lower overall API consumption, stay within plan limits, and avoid throttling. For sellers, this translates into more reliable reporting, fewer delays, and a backend system that scales smoothly as usage grows.
SP-API reports usually indicate where your API calls originate. You know you need to optimize, but we tell you how to do that. Some of the optimization techniques aren’t as straightforward and need a nuanced understanding that comes from experience dealing with similar cases.
We bring the needed expertise in building and optimizing backend systems for Amazon sellers and public seller platforms. Our team understands the SP-API behavior, rate limits, and reporting workflows, not just at a documentation level but implement level.
We focus on practical optimizations that reduce API usage without compromising reliability or data accuracy. From report automation to scalable backend architecture, we help e-commerce platforms stay compliant, cost-efficient, and ready for long-term growth.
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