E-commerce and logistics companies often assume their technical work is “just software” in a well-understood category. But scaling fulfillment, inventory, and routing systems to real-world constraints frequently surfaces the same kind of genuine technical uncertainty seen in other SR&ED-eligible software domains.
Where Eligibility Commonly Shows Up
● Developing routing or warehouse optimization algorithms where standard solvers can’t meet real-time performance requirements at scale
● Solving inventory synchronization problems across multiple warehouses or sales channels where existing integration patterns don’t resolve conflicts reliably
● Building demand forecasting approaches that need to perform under highly volatile or sparse historical data
● Engineering systems to maintain performance and accuracy during extreme peak-demand events existing infrastructure wasn’t designed for
Where It Usually Doesn’t Apply
● Standard e-commerce platform configuration and theme customization
● Routine integration with well-documented payment or shipping provider APIs
● Standard database scaling using documented, established techniques
● UI/UX improvements to checkout or browsing flows
The Peak-Demand Test
A useful diagnostic for this sector: problems that only appear under extreme peak load — a flash sale, a holiday surge — and that standard scaling patterns don’t resolve are a strong signal of genuine technological uncertainty, because the system’s behaviour under those conditions genuinely couldn’t be predicted from documented best practice alone.
