E-commerce
July 1, 2026
During a live event, a customer can see an offer, a code, or a product presented live, and then order quickly. After the event, they may no longer be able to find the reference, the code, the replay, or the exact confirmation.
The chatbot must help link the order to the context of the live stream: product presented, approximate time, code used, offer announced, and order status. It must clarify what is confirmed and transfer the commercial promises to be verified.
This guide explains how to manage orders related to a live event with an AI chatbot, without losing the customer in the aftermath of the live broadcast.
Summary
Why do live event orders create specific requests?
A live event mixes content, promotion, urgency, and purchase. The customer can act quickly, sometimes without reading all the conditions, because an offer seems limited to the live broadcast.
After ordering, they want to find what was promised: price, gift, code, variant, delivery time, or advantage reserved for the live event. The chatbot must therefore be able to talk about the context, not just the raw order.
After a live event, the customer is often looking to verify a promise heard as much as an order status.
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What information should be collected?
The bot may ask for the name of the live stream, the date, the platform, the product, the code, the approximate time, the order, and what the customer thinks they saw or heard.
It must remain simple. The customer does not always have perfect proof; a few clues may be enough to guide the verification.
How do I find the offer?
The chatbot can compare the request with active offers during the event: limited code, live pack, gift, free delivery, or reserved quantity. It must distinguish a confirmed offer from an informal mention during the live stream.
If the offer is no longer active, it must explain this clearly and state whether a human verification is possible with proof or a specific context.
How to handle live code that is not working?
The code may be expired, limited to certain products, already used, case-sensitive, reserved for a specific channel, or incompatible with another promotion. The chatbot must verify these causes before concluding.
If the customer attempted to use the code during the advertised period and provides proof, the case must be escalated to sales support rather than being mechanically refused.
How to respond regarding order status?
An order placed during a live stream may experience high volume, rapid stockout, or a different preparation time. The bot must explain the actual status: confirmed, in preparation, pending, canceled, or to be verified.
It must not promise any special priority if it is not confirmed in the order or the event rules.
Which flow to follow?
The flow must link the order to the context of the live broadcast.
Identify the live stream, the date, the product, and the channel concerned.
Verify the order, code, offer, and current status.
Explain what is confirmed by the order or the campaign rule.
Propose a solution if there is an issue with the code, the offer, or the stock.
Escalate commercial promises, video evidence, or inconsistent statuses.
Which messages should be used?
To collect: "Can you tell me the live stream concerned, the product, and the code or offer you saw?"
To clarify: "I am checking what was confirmed during the event and what appears on your order."
To transfer: "Since this concerns an offer announced during the live broadcast, I am forwarding it with the context for verification."
When to transfer?
The transfer is necessary if the customer provides proof of a promise, if the code was supposed to work, if a live gift is missing, if the stock changed during payment, or if the order is inconsistent.
The bot must transmit the order, live, date, product, code, screenshot or replay, including the promise and the requested solution.
Which KPIs should be monitored?
Follow the orders related to lives, refused codes, missing gifts, out-of-stock items during events, disputed offers, and commercial transfers.
These data show whether the lives create a clear demand or promises that are difficult to follow up on after the event.
Which mistakes should be avoided?
Avoid treating a live promise as a generic question, refusing a code without checking the period, or promising a benefit not present in the rules.
The chatbot must preserve the live energy while guiding the conversation back to verifiable information.
How can Qstomy help?
Qstomy can connect the chatbot to the catalog, cart, orders, support rules, delivery zones, and customer context to respond clearly, and then transfer sensitive cases with an actionable summary.
The chatbot helps the customer move forward without exposing unnecessary data or promising an action that still depends on human or operational validation.
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Key takeaways
Key Takeaways
A live event order must be processed with its context: offer, code, product, date, and agreed promise.
What the customer needs to understand
The customer must understand what is confirmed on their order and what requires commercial verification.
The chatbot's correct limit
The chatbot can retrieve and clarify, but it must transfer proofs, promises, and inconsistencies related to the live event.
Enzo
July 1, 2026
