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Interactive product walkthrough

Follow one Instagram request from message to confirmed order.

This example shows the real decision boundaries: the seller starts analysis, the AI prepares a draft, missing information stays visible, and approval happens only after review.

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  • ✓No automatic customer reply
  • ✓Editable before approval
  • ✓Customer sees only the approved order
Demo conversation Connected
C

Birthday cake for 12 this Saturday. Vanilla, pink flowers, “Happy 30th Maya.” Delivery if possible.

I can do it for $85. What address and delivery time?

D
C

12 Oak Street at 2 PM please.

The complete flow

Each stage has a clear owner.

The conversation belongs to the seller and customer. AI helps structure it. The seller owns corrections and approval. The customer receives only the reviewed result.

01

Customer and seller

Discuss the real request, answer questions, agree on options, and provide missing information.

02

DMNexa AI

Extract possible fields, apply review rules, and expose gaps in a structured draft.

03

Seller review

Compare the order with the conversation and decide whether it is ready to confirm.

How it works

The five-stage DMNexa order journey

Use the demo above as a visual summary, then follow the operational sequence.

  1. 1

    Conversation

    The customer shares the request and the seller clarifies the important details in Instagram.

  2. 2

    Draft request

    The seller taps Create draft order for this specific conversation.

  3. 3

    AI analysis

    DMNexa maps available context into fields and reports missing information or warnings.

  4. 4

    Seller review

    The seller edits every material section and verifies that defaults are not mistaken for customer intent.

  5. 5

    Approval and link

    The order becomes Confirmed and an eligible connected conversation can receive the public summary link.

Capabilities

What the demonstration is—and is not—showing

The sample uses fictional data and illustrates the product workflow without exposing a real customer conversation.

✦

Representative conversation

Plain-language order details arrive over several messages.

✦

Structured result

The working draft separates item, customizations, fulfillment, date, address, and price.

✦

Visible review state

The result remains Draft and calls attention to verification.

✦

Editable seller surface

The seller can correct all material sections before approval.

✦

Read-only customer view

The public link shows the approved order summary, not the AI analysis or full inbox.

✦

No promise of perfect extraction

The demo explains the intended workflow, not a guarantee that every conversation will be interpreted without correction.

Who it helps

Try the same sequence with your own business

A useful trial should answer whether the workflow saves effort while keeping your standards intact.

✓Connect the intended professional account
✓Use a representative customer request
✓Compare every draft field with the source
✓Test missing or changed details
✓Open the customer link yourself
✓Measure time saved only after accurate review
Common questions

Straight answers before you start.

These answers describe the current supported workflow and its boundaries.

Is the demo using a real customer?

No. The demonstration uses fictional order details designed to explain the workflow without exposing personal data.

Does the AI always fill every field?

No. If the conversation lacks reliable information, the draft can show missing fields, warnings, or editable defaults that require seller review.

When does the customer receive something?

Only after the seller approves the reviewed draft and uses the eligible send-link workflow.

Can I test DMNexa without a card?

Yes. The current free trial is 14 days, includes up to 10 trial orders, and does not require a card to start.

Keep exploring

Use the product, learning, and setup guides together.

Core productInstagram order managementRead more → AI detailsAI order drafts with seller reviewRead more → Setup pathCreate your first orderRead more →
Start with real work

Now test the workflow with a request you recognize.

Start free, use a representative conversation, and judge the product by the quality of the reviewed order—not by AI confidence alone.

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