Slot every SKU where velocity, physics, and pick-paths agree.

Three engineering tracks

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.

Start here — hands-on walkthroughs

The fastest way in is a concrete build. These step-by-step guides each take one real slotting problem from raw data to working, vectorised Python you can lift straight into production.

• Slotting Architecture How to Map Warehouse Aisles to Logical Zones A deterministic Python method for translating physical aisle coordinates into velocity-driven logical zones — tolerance buffers, contiguity checks, and a WMS-ready mapping payload. Read the walkthrough
• Slotting Architecture Building a Pick Path Model from Scratch Build a velocity-weighted, constraint-aware pick path model in Python from raw WMS data — graph construction, composite edge weights, an A* solver, and shadow-mode validation. Read the walkthrough
• Slotting Architecture How to Implement Role-Based Access Control for Slotting Configs A deterministic RBAC decorator for slotting configuration writes — role-to-operation matrix, zone-scope checks, TTL-bound overrides, optimistic locking, and pytest validation before anything reaches the solver. Read the walkthrough
• Slotting Architecture How to Classify SKUs by Inventory Velocity You have a rolling feed of pick transactions and a master SKU list, and you need one deterministic job that turns them into an A/B/C/D/Z velocity tier per SKU — r… Read the walkthrough
• Data & Sync Pipelines Python Async Batch Jobs for SKU Velocity Tracking A single asyncio job that pulls SKU movement from a WMS under bounded concurrency, validates it, and pushes clean velocity records to the slotting engine — with backoff, semaphores, and a dead-letter path. Read the walkthrough
• Data & Sync Pipelines Transforming Legacy ERP Sales Logs for Velocity Targeting Turn fixed-width legacy ERP sales dumps — composite item keys, free-text UOM, mixed encodings — into canonical base-unit velocity facts, with a runnable Python transform and pytest checks. Read the walkthrough
• Data & Sync Pipelines Validating JSON Schemas for Inventory Updates Enforce a Draft 2020-12 JSON Schema on raw inventory-update payloads with Python's jsonschema — a versioned contract, a precompiled validator with RFC 3339 date-time checking, and structured errors that route cleanly to a dead-letter queue. Read the walkthrough
• Data & Sync Pipelines How to Poll a WMS API With No Published Rate Limit Build a self-regulating adaptive poller for WMS/ERP APIs that advertise no rate limit — MIAD interval control from observed latency, request dedup, schema gating, and pytest checks. Read the walkthrough
• Assignment & ABC How to Calculate Optimal ABC Thresholds for Seasonal SKUs A config-driven Python method for setting ABC tier thresholds on seasonal SKUs — seasonal-index adjustment, capacity-anchored cutoffs, and hysteresis that stops slotting thrash. Read the walkthrough
• Assignment & ABC How to Group Complementary Products into Adjacent Pick Slots Take known high-lift complementary pairs and greedily place them into adjacent forward-zone bins so multi-SKU orders collapse into a single reach-and-step. Read the walkthrough

Focus areas

SKU velocity tracking · storage location assignment · pick path optimisation · space utilisation scoring · WMS integration · batch recalculation · reporting.