Discover the Logistics ERP Integration
Glossary Terms

Get clear definitions of essential ERP and logistics integration terms. This glossary is your go-to resource for understanding the key concepts that drive smarter, connected supply chain operations.

API Rate Limits

Last updated: April 3, 2026
Logistics
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API rate limits are constraints on how many API calls a user, system, or application can make in a given amount of time, such as per minute, hour, or day. Platforms like CargoWise enforce these limits to maintain system performance, ensure fair usage, and prevent server overload caused by excessive or unexpected queries.

Understanding and complying with API rate limits is critical in supply chain and logistics integration. When multiple systems are connected to an ERP, such as CargoWise, sending too many queries in a short period of time might cause limitations, delays, or even temporary access blocks. Properly regulating these restrictions ensures consistent, real-time data flow while preserving system efficiency.

Frequently Asked Questions

API rate restrictions are rules implemented by software providers to limit the number of API calls made during a specific interval. They exist to prevent misuse, safeguard infrastructure, and ensure optimal performance for all users who engage with a platform like CargoWise.
If your system exceeds the maximum number of requests, CargoWise may postpone or refuse future API calls. If the integration is not designed to manage limits correctly, this can result in synchronization backlogs, missing updates, or disruptions in automated workflows.
Not always. Rate restrictions can vary depending on account type, use tier, and API endpoint. Some high-volume users may have greater thresholds, although others may work within typical parameters.
When limits are exceeded, CargoWise can display an error message or temporarily stop future requests. Integrations that are well-designed incorporate retry logic or queuing techniques to handle these circumstances gracefully and avoid data loss.
Businesses can avoid exceeding rate limits by carefully monitoring request volumes, using throttling techniques, and effectively spacing out calls. Using batch requests and caching mechanisms helps to reduce unnecessary API calls while preserving performance.