Team3

mall business owners make tomorrow's purchasing decisions with yesterday's spreadsheets. Stockwise brings demand, recipes, and usable stock into one understandable daily workflow. Owners can explore a 7- or 14-day sales forecast, translate restaurant dish forecasts into raw ingredients, and review a purchase draft that respects preparation yields, expiry, reservations, incoming deliveries, supplier lead times, and purchase packs. Retail mode uses the same foundation to replenish finished products. An owner can ask, “How much rice should I buy, and why?” The Meta-powered copilot can retrieve the relevant forecast, recipe, and purchasing tools and explain the quantities behind the recommendation. The interface exposes those tool results so the owner can inspect the reasoning. Demand scenarios, stock-count changes, validated CSV imports, and purchase-list exports make the result usable during a daily planning conversation. This submission is a local single-user hackathon prototype. It includes labeled synthetic businesses and rolling-origin backtests against a moving-average baseline. It does not claim measured waste reduction or real-world forecast accuracy. Recommendations remain drafts; the system never places supplier orders. Hotel bookings and production integrations are future work.