Real Problems, Engineered Solutions
These aren't generic case studies—they're systemic problems we've solved dozens of times. Each use case represents patterns we've documented, architectures we've refined, and outcomes we can predict.
Inventory Reconciliation & Backfills
Detect drift, reconcile sources of truth, and safely backfill changes without duplications.
Fulfillment Exception Handling
Automatically identify stuck orders, trigger remediations, and route edge cases to humans.
Product Data Enrichment at Scale
Normalize variants, fill missing attributes, and enforce data standards to reduce customer confusion and returns.
Multi-Warehouse Routing & Split Shipments
Intelligent order routing across warehouses with split shipment optimization to reduce shipping costs and delivery times.
Custom Checkout Logic & Functions
Implement reliable, testable checkout logic using Shopify Functions – when native settings are not enough.
Agentic Commerce & AI Shopping Readiness
Prepare your catalog and systems for AI shopping channels - Universal Commerce Protocol compliance and intelligent agent discovery.
Every problem has a pattern
These use cases represent systemic issues, not one-off bugs. They emerge from architectural gaps in how systems connect, how data flows, and how failures are handled.
We've built the patterns, tested the edge cases, and documented the failure modes. When you work with us, you're not getting an experiment—you're getting a proven approach that we've refined across dozens of implementations.
What's your biggest operational headache?
Tell us what keeps breaking, what takes too long, or what your team spends hours doing manually. We'll show you the pattern and the solution.