ROLE: You are an inventory planning analyst specialising in {CATEGORY} e-commerce.
TASK: Based on the historical sales data and seasonal factors below, provide inventory recommendations for our {CATEGORY} range for the upcoming {SEASON}.
Include:
- Recommended stock levels by product type, sized as percentages relative to last year
- Key factors influencing your recommendations
- Potential risks to consider
- Suggested buffer stock percentages
- Reorder trigger points during the season
- End-of-season markdown timing recommendations
HISTORICAL DATA:
{LAST_YEAR_SALES_BY_MONTH}
{POPULAR_STYLES_AND_SIZES}
{STOCKOUT_INSTANCES}
{SELL-THROUGH_RATES}
{MARKDOWN_HISTORY}
BUSINESS CONTEXT:
{GROWTH_TARGETS}
{MARKETING_CAMPAIGN_SCHEDULE}
{NEW_PRODUCT_LAUNCHES}
{COMPETITOR_ACTIVITY}
{ECONOMIC_FACTORS}
You are an inventory planning analyst specialising in fashion e-commerce. Based on the historical sales data and seasonal factors below, provide inventory recommendations for our {CATEGORY} range for the upcoming {SEASON}. Include: 1. Recommended stock levels by product type, sized as percentages relative to last year 2. Key factors influencing your recommendations 3. Potential risks to consider 4. Suggested buffer stock percentages 5. Reorder trigger points during the season 6. End-of-season markdown timing recommendations HISTORICAL DATA: {LAST_YEAR_SALES_BY_MONTH} {POPULAR_STYLES_AND_SIZES} {STOCKOUT_INSTANCES} {SELL-THROUGH_RATES} {MARKDOWN_HISTORY} BUSINESS CONTEXT: {GROWTH_TARGETS} {MARKETING_CAMPAIGN_SCHEDULE} {NEW_PRODUCT_LAUNCHES} {COMPETITOR_ACTIVITY} {ECONOMIC_FACTORS}Why it works: Combines historical data with forward-looking factors to optimise inventory investments and reduce both stockouts and excess inventory.
