CrumbDesk: AI Can Read the Cake Order. It Doesn’t Get to Run the Bakery

说明与用途

CrumbDesk 通过 Ollama 本地运行 Gemma 3 4B 模型，从非正式客户消息中提取结构化数据，为烘焙师提供可审查的工作区，确认订单并管理变更，记录详细历史。

问题

Home bakers need a way to turn informal customer messages into structured, reviewable order details while preserving baker authority over accepted orders.

结果

CrumbDesk enables bakers to reliably extract, review, and manage orders with AI while keeping control over final decisions and preserving a clear change history.

工作流

• 1. Baker copies a customer message into CrumbDesk.
• 2. CrumbDesk sends the text to local Gemma 3 4B via Ollama for structured extraction.
• 3. The extracted data is parsed, normalized, and displayed in an editable review panel.
• 4. Baker reviews, edits missing details, and confirms the order or drafts a clarification reply.
• 5. Confirmed orders are stored; change requests become proposals that require explicit baker approval.
• 6. All actions are logged locally and can be exported as CSV.

证据

CrumbDesk turns manually copied customer messages into structured, reviewable order details using Gemma 3 4B through local Ollama inference.

来源

The app does not automatically read WhatsApp or Instagram messages.

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CrumbDesk validates the distinction between quantity and weight, preserves unresolved date wording rather than guessing, and prevents payment claims from becoming payment verification.

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Every important action is recorded locally: creation, confirmation, change requests, decisions, and field differences.

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