Apparel Inventory & Demand Matching Solution

Market Demand Forecasting: Integrate three data sources for selection analysis: Google Trends search hotwords (e.g., “oversized blazer” search volume shifts), competitor sales data (Amazon/AliExpress sales and review keywords), and social media sentiment (user discussions on fabric comfort, fit). Release a monthly Apparel Trend Selection Report recommending 5–8 high-potential styles to guide product development.
Dynamic Inventory Regulation: Implement an alert system that triggers restock reminders when a product’s sales-to-inventory ratio drops below 30%. For slow-moving stock (exceeding 3 months of sales), deploy clearance strategies like bundle discounts with hot items or social media flash sales to liquidate inventory and recoup costs.
Small-Batch Quick-Response Support: Partner with flexible supply chains to trial-produce 50–100 units of predicted hot styles for market testing. Use 7-day sales data to decide on reorders, and offer redesign suggestions (adding accessories, adjusting colorways) for slow-moving items to minimize inventory waste and improve turnover rates.

Solution