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Case Study

Cookie Box

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

Cookie Box case study cover

Crochet kits on Amazon (USA, Canada, Mexico): ~$5M revenue, ~20 SKUs, variation-heavy catalog, seasonality and promos.

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:

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

Data-driven demand forecasting and replenishment

  • Demand planning — safety stock, lead times, velocity, reorder points
  • Plans + history — promos and seasonality layered on baselines
  • Replenishment — multi-warehouse view and FBA transfer timing
  • Capital — 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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