E-commerce
July 1, 2026
A QR code can link a poster, packaging, a catalog, an event, or a store to an online purchasing journey. But the customer may arrive on a page without understanding the offer, the exact product, or the next step.
The chatbot must capture the context of the scan: product, location, campaign, offer, language, stock, and intent. It helps to continue the purchase, ask a question, or transfer if the QR code seems broken or ambiguous.
This guide shows how to use an AI chatbot to make QR code journeys smoother and more useful.
Summary
Why is the context of the QR code important?
A customer scanning a QR code does not always arrive with a specific search in mind. They may come from an aisle, a package, an advertisement, an event, or a user manual. The context explains their intent.
The chatbot must use this context to avoid a generic conversation. A packaging QR code does not require the same support as a promotional QR code.
A QR code is a bridge; the chatbot must understand where the customer is coming from to help them continue.
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What information should be retrieved?
The bot can use the product or campaign linked to the QR code, the landing page, the store, the language, the country, the offer, the stock, the variant, and the time of the scan.
It must also allow the customer to correct the context if the QR code leads to the wrong product or an obsolete page.
How can we help you buy?
The chatbot can explain the scanned product, check variants, answer questions, apply the offer if valid, and help add it to the cart.
If it is an in-store scan, it can also indicate local availability, delivery options, or the possibility of completing the purchase later online.
How do you manage promotional QR codes?
A QR code can carry a discount, private access, a registration, a warranty, or documentation. The bot must check the dates, conditions, countries, and products concerned before confirming the benefit.
If the offer is no longer active, it must explain this without giving the impression that scanning was useless. An alternative or product assistance may still be relevant.
What should I do if the QR code does not match?
If the QR code leads to a page that cannot be found, a discontinued product, or the wrong language, the chatbot must help find the correct information. It can ask for a photo of the medium, the location of the scan, or the product concerned.
This information makes it possible to correct the campaign or forward it to marketing or catalog support.
Which flow to follow?
The flow must maintain the context of the scan.
Identify QR code source, product, campaign, country, and landing page.
Understand the intent: buy, get an offer, read instructions, or ask for help.
Respond with context: stock, variants, conditions, content, or cart.
Propose the next step: purchase, save, contact, registration, or support.
Forward broken QR codes, disputed offers, obsolete pages, and catalog errors.
Which messages should be used?
To welcome: "You have arrived from a QR code linked to [product or campaign]. I can help you continue."
For an offer: "I am checking if the advantage associated with this QR code is still active and which products it applies to."
For an error: "If the page does not match the scanned medium, I can forward the QR code and context for correction."
When to transfer?
The transfer is necessary if the QR code is broken, if the associated offer is blocked, if the product cannot be found, if the page is obsolete, or if the customer reports an inconsistency with the physical medium.
The bot must transmit the URL, QR source, product, campaign, location, screenshot, displayed page, error, and customer request.
Which KPIs should be monitored?
Track assisted scans, purchases after QR code, applied offers, obsolete pages, redirection errors, product questions, and campaign transfers.
This data shows whether QR codes create a useful continuity or just a point of friction.
Which mistakes should be avoided?
Avoid ignoring the context of the scan, confirming an expired offer, leaving a broken page with no solution, or treating a store QR code as a regular web visit.
The chatbot should extend the intent of the scan with a clear next step.
How can Qstomy help?
Qstomy can connect the chatbot to orders, calendars, customer history, notification preferences, push campaigns, QR codes, and support rules to answer clearly, then escalate sensitive cases with an actionable summary.
The chatbot helps the customer move forward without inventing a slot, an offer, an authorization, or personal data that still needs to be confirmed by a reliable source.
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Key takeaways
Key Takeaways
A QR code journey must maintain the scan context: product, campaign, location, offer, and intent.
What the customer must understand
The customer must know which page they have opened, what action to take, and what to do if the QR code does not match.
The chatbot's limits
The chatbot can guide the purchase and product help, but it must transfer broken QR codes, blocked offers, and campaign inconsistencies.
Enzo
July 1, 2026
