For warehouse managers · logistics engineers · Python teams
Slot every SKU where velocity, physics, and pick-paths agree.
A working field manual for designing slotting architectures, classifying inventory by movement, and synchronising WMS data without breaking production. Each section pairs operational reasoning with vectorised Python you can drop into nightly ETL jobs or real-time slotting microservices.
The site is organised around three pillars — architecture & taxonomy, data ingestion & sync, and assignment algorithms — so you can move from concept to deployment without leaving the page.
Each track is a self-contained guide with overview pages, deep-dive subsections, and operational walkthroughs. Open any section to read the full architecture brief, or jump directly into the pages you need.
Core Slotting Architecture & Velocity Taxonomies
Design slotting systems that survive contact with real WMS traffic — multi-dimensional velocity scoring, location hierarchies, pick-path frameworks, security boundaries.
Build the data plane that feeds slotting: WMS/ERP polling without rate-limiting, schema validation, sales-history transformation, and async batch processing for SKU velocity.
Tune ABC thresholds, model weight/volume constraints, group complementary SKUs by affinity, and pick smart re-slotting windows so labour saved exceeds labour spent.