{"version":"1.0","type":"card","id":"3b8830d6-35c8-42dd-89db-ba4221b03333","url":"https://stacklist.com/card/3b8830d6-35c8-42dd-89db-ba4221b03333","title":"How to Plan Pre-Season Inventory Using Analytics","source_url":"https://merchmix.co/pre-season-inventory-planning-using-predictive-analytics-to-prepare-for-market-fluctuations","note":"Guessing seasonal demand leads to costly overstocks. Merchmix breaks down how to use predictive analytics to prepare your inventory for changing market trends.","image":{"url":"https://ucarecdn.com/4973ae91-19d9-4868-bcff-7bac363d5ed9/","alt":"How to Plan Pre-Season Inventory Using Analytics","width":1016,"height":572},"stack":{"id":"1d0add9d-e542-4db8-b708-3652c6753d6b","title":"About Fishing Tackle Retailer - Sportfishing Trade","url":"https://stacklist.com/c/business/stack/1d0add9d-e542-4db8-b708-3652c6753d6b"},"created_at":"2026-08-25T07:43:34.819Z","updated_at":null,"aco":{"summary":"Pre-season inventory planning leverages predictive analytics and AI to forecast demand, helping businesses reduce excess inventory and stockouts by improving forecasting accuracy by 10% to 20%. The article highlights real-life applications from Coca-Cola and Walmart, key metrics like MAPE, and the importance of cross-functional collaboration for effective seasonal preparation.","tags":["predictive-analytics","inventory-planning","demand-forecasting","supply-chain","artificial-intelligence","retail-planning","seasonal-trends"],"key_entities":[{"name":"Predictive Analytics","type":"concept","confidence":0.98},{"name":"Pre-Season Inventory Planning","type":"concept","confidence":0.97},{"name":"Artificial Intelligence","type":"technology","confidence":0.95},{"name":"Coca-Cola","type":"organization","confidence":0.95},{"name":"Walmart","type":"organization","confidence":0.95},{"name":"Mean Absolute Percentage Error (MAPE)","type":"concept","confidence":0.9},{"name":"Demand Forecasting","type":"concept","confidence":0.93},{"name":"Supply Chain Management","type":"concept","confidence":0.88},{"name":"Key Performance Indicators (KPIs)","type":"concept","confidence":0.85}],"classification":"analysis","language":"en","confidence":0.85,"provenance":{"model":"claude-opus-4-6","tool":"@stacklist/mcp-server@2.0.0","confidence":0.85,"timestamp":"2026-08-25T07:43:46.421Z"},"token_counts":{"approximate":1283,"cl100k":848},"content_hash":"sha256:8c6e16629e31a880e1fa30fa2975a5b9795b50ccf1a04020e409e87ef0147e38","acp_version":"0.2","body_available":true,"body_tokens":1283,"visibility":"public","agent_accessible":true,"status":"final"},"_links":{"self":"/api/public/card/3b8830d6-35c8-42dd-89db-ba4221b03333.json","html":"https://stacklist.com/card/3b8830d6-35c8-42dd-89db-ba4221b03333","md":"/api/public/card/3b8830d6-35c8-42dd-89db-ba4221b03333.md","stack_json":"/api/public/stack/1d0add9d-e542-4db8-b708-3652c6753d6b.json"}}