{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/809ae86657f14bcabcb041e0f8c5ecc4\" frameborder=\"0\" width=\"1670\" height=\"1252\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1252,"width":1670,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1252,"thumbnail_width":1670,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/809ae86657f14bcabcb041e0f8c5ecc4-d03c7b89e24e67fb.gif","duration":1370.832,"title":"How AI Sales Analysis Works","description":"This Loom explains how to run AI sales analysis to understand sales performance without manually pulling and sorting multiple reports. It covers the required fields, including selecting what to analyze such as Performance Overview, Product Deep Dive, Margin and Profit, Customer Behavior, Inventory and Replenishment, Anomalies and Alerts, or a custom question, then choosing a required time range and whether to compare to a previous period. The demo shows selecting Performance Overview for a specific location like the Sewell store with year to date and optionally narrowing by category, brand, or salesperson, then choosing whether the AI should focus on problems, opportunities, or both. It generates key metrics, top findings, critical actions, suggested follow-up questions, and lets users ask deeper questions like which brands drive sales."}