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Cookie Box Case Study: Inventory Planning & Demand Forecasting

95% fewer stockouts on high-demand SKUs with demand forecasting and inventory planning

95% fewer stockouts on top SKUs
Cookie Box case study cover

Cookie Box sells crochet kits on Amazon across the USA, Canada, and Mexico at roughly $5M in revenue. The catalog is variation-heavy with ~20 SKUs, plus seasonality and promotions to plan around.

Industry
Ecommerce (crochet kits)
Revenue
$5M annually
Catalog
~20 SKUs
Channel
Amazon (USA, Canada, Mexico)
95% reduction in stockouts for high-demand SKUs
The Problem

Spreadsheets drove stockouts and overstock

Planning lived in spreadsheets, and the math could not keep up with a variation-heavy, seasonal catalog:

  • Manual calculations — lead times, safety stock, and velocity were error-prone by hand
  • Demand vs. supply — frequent stockouts on winners and excess on slow movers
  • Limited inputs — history-only views missed production, freight, and customs lag
  • Multi-node stock — 3PL, point-of-sale, and FBA were tracked inconsistently
The Solution

Data-driven demand forecasting and replenishment

  • Demand planning — safety stock, lead times, velocity, and reorder points in one model
  • Plans + history — promotions and seasonality layered on top of baselines
  • Replenishment — a multi-warehouse view with FBA transfer timing
  • Capital efficiency — tighter safety stock where the model supported it
Outcomes

Key results

95% Fewer stockouts For high-demand SKUs
40% Less overstock Drop in over-ordering
30% Lower shipping fees Reduction in last-minute shipping costs
85% Better forecast accuracy With promotional and seasonality integration
15+ Hours saved per week On inventory calculations

NeonPanel transformed how we manage our inventory. We went from constant stockouts and overstock headaches to having a clear, data-driven plan. The forecasting is spot-on, and our team has reclaimed 15 hours a week that we used to spend on spreadsheets.

Mary, CEO of Cookie Box
Mary CEO, Cookie Box

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