How StockBalancer™ handles large product catalogs and multi-year transaction imports, what the practical volume limits are,and how long a large import takes.
Because StockBalancer™ holds inventory data in its own model rather than repeatedly polling another system, the practical question is not about API rate limits on someone else's platform. It is about how much history you can load and how long it takes. The honest answer for a midsize business is that you are very unlikely to hit a ceiling: the volumes that matter for demand forecasting are well inside what the platform handles comfortably.
Imports run as background jobs, so you can keep working while history loads. A full initial load for a business with tens of thousands of SKUs and three years of transaction history typically completes within 24 hours. Column mapping is remembered between loads, so subsequent imports of the same shape are considerably faster.
Every import is recorded in an import history with its status, row counts,and any rejected rows and the reason they were rejected. A failed or partial load can be corrected and re-run rather than restarted from scratch, and nothing is written into your live inventory until the load completes validation. This matters more than raw throughput: the common failure in an inventory migration is not slowness, it is silently importing bad data and discovering it a month later in your reorder plan.