Seasonal Inventory Plan

Season Brief

## Seasonal Inventory Brief

**Season:** Holiday 2024 (November 1 - December 31)
**Key products:** Candle gift sets, holiday-scented wax melts, ceramic holders
**Last year's revenue:** $28,000 across 3 product lines
**Growth target:** 30% increase ($36,400)
**Supplier lead time:** 8 weeks (order by September 1)
**Budget:** $12,000 for inventory

GATE: Confirm the season brief before building the forecast.

Phase 2: Demand Forecast

Forecasting Method

1. Base forecast — use last year's unit sales as the starting point
2. Growth adjustment — apply growth rate based on audience size increase, marketing spend, or market trends
3. Product mix — allocate percentages across categories based on historical performance
4. Safety stock — add 15-20% buffer for top sellers, 0% buffer for unproven items

Forecast Template

## Demand Forecast

| Product | Last Year Units | Growth Factor | Forecast Units | Safety Stock | Order Qty |
|---------|----------------|---------------|---------------|-------------|-----------|
| Candle gift set (large) | 120 | 1.3x | 156 | +20% (31) | 187 |
| Candle gift set (small) | 200 | 1.3x | 260 | +15% (39) | 299 |
| Holiday wax melts (6-pack) | 340 | 1.2x | 408 | +15% (61) | 469 |
| Ceramic holder (new) | 0 | N/A | 80 | 0% | 80 |

No Historical Data Approach

If no prior data exists:

• Start with a conservative estimate (sell-through rate of 60-70%)
• Order smaller initial quantities with a reorder plan
• Use pre-orders or waitlists to gauge demand before committing

Phase 3: Ordering Timeline

Timeline Template

Map every milestone backward from the first selling day:

## Ordering Timeline

**Season start:** November 1
**Key dates working backward:**

| Date | Action |
|------|--------|
| July 15 | Finalize product line and quantities |
| August 1 | Place orders with suppliers |
| September 1 | Receive and quality-check inventory |
| September 15 | Product photography and listing updates |
| October 1 | Pre-season marketing begins (email, social) |
| October 15 | Early access sale for VIP customers |
| November 1 | Full season launch |
| December 15 | Monitor stock levels — reorder fast-movers if possible |
| December 26 | Begin clearance pricing |
| January 15 | Final clearance — move remaining stock |

Reorder Decision Points

Build triggers for mid-season reorders:

• If a product sells 50% of forecast in the first 30% of the season, reorder immediately
• If supplier can deliver within 2 weeks, keep a reorder option open for top 3 SKUs
• Set a "reorder cutoff date" beyond which new orders will not arrive in time

Phase 4: Clearance & Post-Season Strategy

Markdown Schedule

## Clearance Plan

| Timing | Discount | Goal |
|--------|----------|------|
| Last 2 weeks of season | 20% off | Move slow sellers before season ends |
| 1 week post-season | 30-40% off | Clear remaining seasonal stock |
| 2-3 weeks post-season | 50%+ off or bundle deals | Liquidate dead stock |
| 4+ weeks post-season | Donate, repurpose, or hold for next year | Zero remaining carrying cost |

Leftover Inventory Options

• Bundle with evergreen products to move units without deep discounts
• Offer as free gifts with purchase to boost AOV on other products
• Hold for next year only if shelf life allows and storage cost is minimal
• Donate for tax write-off if liquidation is not cost-effective

Post-Season Review

Document these metrics for next year:

• Total units ordered vs. total units sold (sell-through rate)
• Revenue vs. forecast accuracy
• Top 3 sellers and bottom 3 sellers
• Clearance revenue as percentage of total season revenue
• Lessons learned for next season ordering

Anti-Patterns

• Ordering based on hope — "I think this will be huge" without data leads to overstock. Use numbers.
• Ignoring lead times — placing orders late means stockouts during peak demand.
• No clearance plan — holding seasonal inventory past its window ties up cash and storage.
• Over-diversifying SKUs — too many products spread inventory budget thin. Focus on proven winners.
• Skipping the post-season review — if you do not document what happened, you will repeat the same mistakes.

Recovery

• No historical data: Use competitor research, Google Trends, and small test orders to build a baseline. Plan conservatively.
• Supplier cannot meet timeline: Find backup suppliers, reduce order quantities, or shift to faster-shipping alternatives.
• Budget too small for forecast: Prioritize top sellers, cut unproven products, and plan a smaller launch with reorder triggers.
• Mid-season stockout: Source locally if possible, offer pre-orders for restocks, and redirect marketing to in-stock items.
• Excess inventory post-season: Implement clearance plan immediately — do not wait hoping it will sell at full price next season.