Tracking Sales Data: The Foundation of Analysis
Using OOPBuy Spreadsheet, we systematically record sales data for OOPBuy Shoes across different seasons. The spreadsheet captures:
- Daily/Monthly sales by style category (sneakers, sandals, boots, etc.)
- Size distribution percentages
- Color popularity trends
- Return rates by product type
This structured data collection forms the basis for our seasonal analysis.
Seasonal Patterns Emerging from Data
Summer Trends
From May to August, our spreadsheet reveals:
- Sandals account for 58% of total sales (compared to 12% in winter)
- Increased demand for sizes 7-9 in women's styles
- Light colors (white, beige, pastels) generate 34% more sales than dark hues
Winter Trends
Between November and February:
- Boot category dominates with 61% market share
- Men's size 10-12 boots see 40% sales increase
- Dark colors (black, brown, charcoal) preferred by 73% of customers
Transitional Seasons
Spring/Fall show unique patterns:
- Sneakers peak at 45% of sales during these periods
- Neutral tones perform best while extreme colors decline
Procurement Recommendations
Based on our spreadsheet analysis, we recommend:
| Season | Suggested Inventory Mix | Expedct Month to Order |
|---|---|---|
| Summer (June-August) | 60% sandals, 20% breathable sneakers, 15% slip-ons, 5% trial summer boots | February-March |
| Winter (December-February) | 50% boots, 30% insulated shoes, 15% bad weather sneakers, 5% fashion winter sandals | August-September |
Additional strategic suggestions:
- Purchase summer open-toe styles in March allowing 2-3 month lead time
- Order winter waterproof materials by September for October arrival
- Buy transitional styles in smaller batches but more frequently to adapt to weather changes