E-commerce
July 1, 2026
A customer may discover a product in-store, try it on, ask for advice, and then decide to buy it later online. The problem arises when they can no longer find the right reference, size, offer, or available stock.
The chatbot must bridge the gap between the physical experience and the digital purchase. It helps retrieve the tried-on product, verify availability, explain the differences between store stock and web stock, and then finalize the cart with the right conditions.
This guide shows how to use an AI chatbot to support an in-store to online journey without losing customer context.
Summary
Why must the transition from store to online be supported?
In store, the customer sees, touches, or tries on the product. Online, they must find the exact same variant based on a memory, a tag, a sales representative's advice, or a photo. This transition can therefore break the intent to purchase.
The chatbot must preserve this context. It should not treat the request as an ordinary catalog search if the customer is talking about a product seen or tried on in a store.
The store-to-online journey is successful when the customer finds online what they understood or liked in the store.
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What information should be requested?
The bot can ask for the store, the date of the visit, the product tried on, the size, the color, the price seen, the salesperson if known, a photo of the label, or a partial reference.
It must accept incomplete memories. The customer may only remember "the beige model tried on yesterday" or "the version recommended by the salesperson".
How to check stock and variant?
The chatbot must verify the exact variant, web stock, store stock if useful, available sizes, delivery times, and pickup options. A product visible in-store may be unavailable online, and vice versa.
If a variant is missing, the bot can offer an alert, another color, another store, or an explained alternative.
How to manage an offer seen in-store?
An in-store offer can be local, limited in time, or not applicable to the web. The chatbot must verify the terms before confirming a price or a discount online.
If the customer has proof, such as a photo of a poster or a quote, the bot should forward it rather than refusing without review.
How do I finalize the shopping cart?
Once the product is found, the chatbot can help select the variant, check the return policy, choose delivery or pickup, and point out any differences with the in-store experience.
The customer must be able to finalize their purchase without wondering if they are buying the same product they tried on.
Which flow to follow?
The flow must preserve the store context up to the payment.
Identify store, date, product tried, variant, and any potential proof.
Find the product and confirm size, color, reference, or alternative.
Check web stock, store stock, delivery, pickup, and return conditions.
Explain applicable offers or differences between store and web.
Transfer local offers, quotes, seller promises, critical stocks, and VIP requests.
Which messages should be used?
To find: "I can help you find the product you saw in the store using the shop, the date, or a photo of the label."
For stock: "This size is available online, but store stock may differ."
For offer: "I will check if the offer seen in-store also applies to the online shopping cart."
When to transfer?
The transfer is necessary if the customer mentions a seller's promise, a local price, a quote, a reservation, a stock difference, or a professional order.
The bot must transmit the store, date, product, variant, proof, mentioned offer, proposed cart, and exact request.
Which KPIs should be monitored?
Track post-store visit searches, recovered products, finalized carts, sent offers, out-of-stocks by variant, and online conversions following in-person advice.
This data shows whether the omnichannel journey remains seamless after the visit.
Which mistakes should be avoided?
Avoid ignoring the store context, promising a local price online, confusing store stock with web stock, or offering a product without explaining the link with the trial.
The chatbot must extend store advice with precision.
How can Qstomy help?
Qstomy can connect the chatbot to store stock, orders, subscriptions, preferences, addresses, renewal schedules, and support rules to answer clearly, then transfer sensitive cases with an actionable summary.
The chatbot helps the customer stay in control without inventing stock, pauses, cancellations, addresses, or renewals that still need to be confirmed by a reliable source.
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Key takeaways
Key Takeaways
A store-to-online journey must retrieve the product, variant, stock, offer, and conditions before payment.
What the customer needs to understand
The customer must recognize the product they tried or were advised on, and understand the differences between the boutique and the web.
The right boundary for the chatbot
The chatbot can guide the online purchase, but it must transfer local prices, quotes, salesperson promises, and critical stock levels.
Enzo
July 1, 2026
