Make a package callable with a QR-linked AI phone workflow. A package insert that handles delivery, return, setup, or support calls.
Create a package Call App that captures order number, product, delivery issue, return request, support need, and requested resolution.{
"outcome": "package call outcome",
"fields": [
{
"description": "order number captured during the call.",
"name": "order_number",
"required": true,
"type": "text"
},
{
"description": "product captured during the call.",
"name": "product",
"required": true,
"type": "text"
},
{
"description": "issue type captured during the call.",
"name": "issue_type",
"required": true,
"type": "text"
},
{
"description": "delivery status captured during the call.",
"name": "delivery_status",
"required": true,
"type": "text"
},
{
"description": "requested resolution captured during the call.",
"name": "requested_resolution",
"required": true,
"type": "text"
}
]
}AI: Hi, I am the AI workflow attached to this package. What do you need help with?
Caller: I scanned the package insert because one item arrived damaged.
AI: What should the owner know before they follow up?
Caller: Please save this for ecommerce or logistics team.
The best location is where the caller already understands the object and needs action: a room sign, product label, manual, invoice, package, or field asset. The surrounding copy should say what the call will create for the owner.
Start with one owner, one notification path, and one structured outcome. If callers use the same QR code for multiple needs, add a first question that classifies intent before collecting detailed fields.
Make the first screen and opening line match what the caller will actually get. For call this package, the promise should be narrow enough that a caller understands the purpose before sharing details or scanning a QR code. Avoid broad claims like "we can help with anything"; a specific promise produces cleaner calls and clearer follow-up.
Decide which fields are required before the call can be considered complete. A practical first version should capture order number, product, issue type, then send a summary that Ecommerce or logistics team can act on without replaying the call. If a field is not used for routing, qualification, scheduling, or review, remove it from the first launch.
Write down the cases that should not be automated. Use human review for lost high-value package, refund dispute, safety issue so the workflow stays useful without pretending to handle every edge case. Review the first real calls before connecting higher-risk actions or expanding the workflow.
A callable package gives someone an immediate way to explain context while they are looking at the object, sign, room, document, or product. The QR code starts a phone workflow that captures the issue and sends the owner a structured result.
Use plain signage such as "Scan to call this package" and explain what will happen after the call. Avoid vague labels. The caller should know they are contacting an AI workflow and that the result goes to ecommerce or logistics team.
The workflow should capture order number, product, issue type, caller intent, urgency, and a practical next action. Do not ask for sensitive information unless the owner truly needs it and has the right consent and review process.
Escalate when the caller reports danger, sensitive information, access issues, payment disputes, or anything that needs a person. For this example, the main handoff triggers are lost high-value package, refund dispute, safety issue.
Use this object-specific workflow as the starting prompt, then print the QR code wherever the caller needs it.