I’m preparing to open a new e-commerce store and want every critical back-office decision to be driven by data rather than guesswork. The focus is on two areas: • Inventory management – I need an AI model that forecasts stock needs, flags slow movers, and recommends optimal reorder points. • Sales analytics – I want clear, actionable insights on what sells, when, and to whom so I can quickly adjust marketing and pricing. Google AI is my preferred stack, so think Vertex AI, BigQuery, Looker Studio, and any other Google Cloud services that make sense. If there’s a smarter way to stitch these together, I’m open to your guidance. Deliverables 1. End-to-end setup of the inventory-forecasting pipeline, fully connected to my store’s data feed. 2. An interactive sales analytics dashboard with real-time or near-real-time refresh. 3. Clean documentation so I can maintain, retrain, or extend the solution without starting from scratch. 4. A brief knowledge-transfer session (live or recorded) walking me through the workflow. Acceptance criteria: forecasts tested on historical data with clear accuracy metrics; dashboard loads in under five seconds and updates automatically; documentation complete enough for a non-coder to follow. If you’ve built similar AI automations for online shops and can move quickly, let’s get this launched.