What this program covers
Inventory failures account for a significant share of e-commerce losses - stockouts, dead stock, and misaligned reorder points all compound quickly. This program examines the mechanics behind these problems using real operational data.
Each session is built around a specific scenario drawn from warehouse operations, multichannel selling, and supplier lead-time variability. Participants work through decisions, not slides.
Program structure and time commitment
01
Stock fundamentals and demand signals
Covers SKU classification, velocity tiers, and how to read demand patterns without over-relying on historical averages.
3 hrs
Week 1
02
Reorder point calculation under variability
Builds reorder logic that accounts for supplier lead-time fluctuations and seasonal demand shifts, not just average daily sales.
4 hrs
Week 2
03
Multichannel stock allocation
Addresses how to distribute available inventory across Shopify, Amazon, and wholesale channels without creating oversell risk.
4 hrs
Week 3
04
Dead stock identification and recovery
Examines how slow-moving inventory accumulates, and what clearance, bundling, and supplier return options are realistic to pursue.
3 hrs
Week 4
05
Warehouse layout and pick efficiency
Looks at slotting decisions, bin location logic, and how physical layout choices affect order fulfillment speed and error rates.
4 hrs
Week 5
06
Reporting, audits, and cycle counting
Establishes a practical audit rhythm using cycle counts rather than full stocktakes, and builds dashboards participants can adapt to their own systems.
4 hrs
Week 6
"
The reorder point module changed how I think about safety stock entirely. I'd been using a flat buffer for years - this showed me exactly where that was costing me during peak periods.
Brigid Falvey - Operations lead, online homewares retailer, NSW