E-commerce
July 1, 2026
A customer may receive a sample in-store, and then want to find it online a few days later. They do not always know the exact name, shade, size, or recommended routine. The positive in-store experience can then be lost.
The chatbot can help identify the product, remind them of its use, check availability, find an offer, and suggest a logical next step. It must remain cautious regarding sensitive advice, particularly in beauty, health, or food.
This guide explains how to use an AI chatbot to turn an in-store sample into an online purchase without creating confusion.
Summary
Why are store samples important?
A sample creates a concrete experience: the customer has touched, tested, smelled, or tried the product. But this experience depends on the customer's memory and the information received in-store.
The chatbot can bridge the gap between the physical moment and the digital journey. It helps find the right product before the interest disappears.
A well-followed-up sample becomes ongoing advice, not just a small free product.
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What information should be requested?
The bot may ask for the pickup location, approximate date, range, color, scent, skin type or usage, and any visible mention on the bag or card.
It should avoid asking too many questions at once. The customer is often looking to recall a simple memory, not to fill out a complete form.
How to find the product?
The chatbot can cross-reference clues: in-store campaign, stock of samples distributed, customer keywords, and nearby products. It should suggest one or two plausible options rather than a long list.
If the identification remains uncertain, the bot can request a photo of the sample or transfer the case with the collected information.
How do we remind people of the usage?
The bot can explain how to use the sample: frequency, routine step, indicative quantity, or association with another product. The goal is to help the customer recreate the experience at home.
For sensitive topics, it must add a clear limit. A usage recommendation does not replace professional advice if the customer reports an allergy, irritation, or specific condition.
How to manage linked offers?
A sample can be associated with an offer, a code, a launch, or a local promotion. The bot must check the conditions before promising an online benefit.
If the customer mentions a promise received in-store, the chatbot must gather the context and transfer rather than automatically creating a discount.
Which flow to follow?
The flow must transform an incomplete memory into an identifiable product.
Ask for available clues: store, date, range, appearance, or photo.
Compare with samples or known campaigns.
Propose the most likely product and its close alternatives.
Explain usage, availability, and offer conditions.
Transfer uncertain or sensitive cases, or those linked to a store promise.
Which messages should be used?
To identify: "Describe the sample to me or send a photo of the sachet if you still have it. I will help you find the product."
For usage: "This product is generally used at this stage of the routine. If you have a known reaction or allergy, ask for tailored advice."
For an offer: "I will check if the offer presented in store is also valid online."
When to transfer?
The transfer is necessary if the product remains uncertain, if the customer reports a reaction, if a store offer is disputed, if a shade needs to be confirmed, or if the product is not available online.
The bot must transmit the clues, the store, the date, the potential photo, the customer's need, and the commercial urgency.
Which KPIs should be monitored?
Track identified samples, photos sent, post-sample conversions, in-store offers redeemed, out-of-stock products, and sensitive requests.
These indicators show whether in-store campaigns are well connected to the online journey.
Which mistakes should be avoided?
Avoid recommending a product at random, promising an unverified local offer, giving sensitive advice without limits, or ignoring the store context.
The chatbot should extend the trial experience with precision, not replace the sample with an approximate search.
How can Qstomy help?
Qstomy can connect the chatbot to support rules, catalog, stock, orders, and customer context to answer accurately, 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 requires human validation.
Explore AI support, the AI sales agent or request a demo.
Key takeaways
Key Takeaways
An in-store sample must be easily findable online using a few simple clues.
What the customer must understand
The customer must understand which product they tested, how to use it, and whether an offer is valid.
The chatbot's proper limit
The chatbot can identify and recommend, but it must transfer uncertain cases, sensitive reactions, and in-store promises that need to be verified.
Enzo
July 1, 2026
