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Kanesh

Use case · Order status

“Where is my order?”, answered from Shopify.

The AI answers order-status questions with live Shopify data after verifying the customer. If it can't confirm who's writing, it shares no order details, and anything it shouldn't decide goes to your team with the reason.

Illustration: a customer asks on WhatsApp where order 2087 is. The AI checks that the person writing matches the customer on the order, reads the status and tracking from Shopify, and replies with the tracking link without inventing a delivery date. When the customer asks for a replacement, the AI hands the conversation to customer care with the reason, and a person replies.

Illustrative demo · synthetic data

The problem

The same question, all day, and it still needs care.

Order-status questions are repetitive, but each answer involves someone's order, address and parcel. Speed without checks is a risk.

  • Tabs between question and answer

    Each reply means opening Shopify, finding the order, copying the tracking link and writing it up. Multiply that by every channel.

  • Privacy in a hurry

    A quick answer to the wrong person shares someone else's order. Checking who's writing takes time a busy team doesn't have.

  • Dates nobody promised

    Under pressure, people guess delivery dates. When the parcel is late, the guess becomes a complaint.

How it works in Kanesh

Set it up once; every channel uses it.

No flow needed: order status is part of what the AI agent does when your store is connected. You decide what it knows and when it hands off.

  1. Set up

    Step 1: Connect Shopify

    The native connection gives the AI read access to orders, fulfilments and tracking, and shows the customer's orders beside the conversation.

  2. Set up

    Step 2: Bring your channels into one inbox

    WhatsApp, Instagram, Messenger, email and web chat land in the same shared inbox, so the same answer works everywhere.

  3. Set up

    Step 3: Upload your shipping policy

    Carriers, typical times, what to do when a parcel is late. The AI answers from it and doesn't make up the rest.

  4. AI agent

    Step 4: Verify first, then read the order

    Before sharing order details, the AI checks that the person writing matches the customer on the order. If it can't confirm that, it doesn't share order details.

  5. AI agent

    Step 5: Every reply is checked before it's sent

    The draft is checked against your data and rules. A delivery date the carrier didn't give, or a fact it can't back up, doesn't go out; the conversation goes to a person.

  6. Handoff

    Step 6: Hand off what it shouldn't decide

    Describe the situations that need a person, such as a replacement, a lost parcel or a complaint. The AI hands the conversation to your team with the reason and context.

  7. Your team

    Step 7: Your team picks up with the order in view

    Assign handoffs to a team, reply with saved replies, and set business hours and SLA targets with alerts.

Illustration: on Instagram, a customer asks for the price difference on a coat that went on sale after she bought it. The AI finds her order and checks the returns policy, which doesn't cover price adjustments, so it hands the conversation to the customer care team with the reason and a summary. Marta from the team picks it up and replies.

Illustrative demo · synthetic data

What you need

What to have in place, and what to expect.

Three connections and a clear handoff rule. Then the AI works on every channel you've connected.

Connections and setup

  • Shopify

    Native connection with read access to orders, fulfilments and tracking.

  • Your channels

    WhatsApp Business Platform, Instagram, Messenger, a support mailbox (Google or Microsoft) and, if you want, the web chat widget.

  • Your shipping policy

    Uploaded to the knowledge base, so answers about times and delays come from your own rules.

  • A team for handoffs

    A team the AI hands conversations to, with business hours and SLA targets.

Good to know

  • If the AI can't confirm the person matches the order, it shares no order details. That's deliberate, and some of those conversations will reach your team.
  • Tracking and delivery dates are whatever Shopify and your carrier provide. The AI doesn't invent a date the carrier hasn't given.
  • The AI reads orders; it doesn't cancel, change or refund them. Those actions stay with your team, in your usual tools.
  • The AI replies in Spanish and English.
  • On Instagram and Messenger, replies follow Meta's 24-hour messaging window.

What to measure

See the load move, in dashboards you already have.

Dashboard names, not promised numbers. You see your own figures; we don't publish benchmarks.

  • Support & operations

    Open and resolved conversations and how fast your team replies.

  • AI quality

    What the AI answered, what it handed off and why.

  • Custom dashboards

    A view with just the metrics your support lead follows.

  • Digest by email

    An hourly email digest, so the numbers come to you.

Order status questions

How does the AI verify the customer before talking about an order?
Before sharing order details, it checks that the person writing matches the customer on the order. If it can't confirm that, it doesn't share order details.
What happens when it can't verify the person?
It doesn't share order details. The conversation stays in your inbox, and your team can take it from there.
Will it promise a delivery date?
Only one that Shopify or the carrier has given. Replies are checked against your data and rules before they're sent, and a date nobody provided doesn't go out.
Can the AI cancel or change an order?
Not today. The AI reads order information from Shopify after verifying the customer. Cancellations, refunds and changes to an order stay with your team.
Which channels does this work on?
WhatsApp, Instagram, Messenger, web chat and email, from the same knowledge and the same store data.

Free diagnosis

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