E-commerce
July 1, 2026
After placing an order, the customer does not always distinguish between preparation, shipment, and delivery. If they see no movement for one or two days, they may think the order is stuck.
The chatbot must explain the preparation time based on stock, warehouse, product type, order volume, and any customization. It must provide a reliable estimate without promising a date that still depends on logistics.
This guide explains how to answer questions about preparation times with an AI chatbot, reassuring customers without hiding actual issues.
Summary
Why does the preparation time cause anxiety?
The customer has paid, but they cannot see any carrier tracking yet. Fearing this lack of movement, they may think there is an issue, whereas the order might simply be in the process of being prepared.
The chatbot must make this step visible. It must explain what happens before shipping: payment verification, preparation, quality control, packaging, possible customization, and handover to the carrier.
An order in preparation is not a forgotten order, but the customer needs a reference point to understand this.
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What causes can prolong the preparation time?
The delay may depend on available stock, the warehouse, an activity peak, a bulky product, a personalized item, a quality control, a pending payment verification, or a multi-package order.
The bot must distinguish between a normal delay and an abnormal delay. Saying "this takes time" is not enough if the order already exceeds the announced window.
How do you explain the difference with delivery?
Preparation happens before the carrier takes the package. Delivery begins when the package is handed over to the carrier and tracking becomes active.
The chatbot might say: "Your order is still in preparation. The delivery time will begin from shipment." This distinction avoids a lot of misunderstandings.
How to respond based on the status?
If the order is confirmed, the bot can explain the next step. If it is in preparation, it can indicate the usual window. If its status is blocked, partial, or out of stock, it must say so clearly.
It must avoid over-vague phrases like “it’s arriving soon” when the actual status does not allow this assertion.
When should support be contacted?
The transfer becomes necessary if the announced deadline is exceeded, if the status no longer changes, if the customer has a critical date, if an item is out of stock, or if the order depends on manual validation.
The bot must transmit the order, the dates, the status, the items concerned, and the customer's urgency.
Which flow to follow?
The flow must explain the current step and the next action.
Identify the order and the preparation status.
Verify stock, warehouse, personalization, and any pending payment.
Explain the difference between preparation, shipping, and delivery.
Provide a timeframe reference if the rule is known.
Forward exceeded deadlines, blocked statuses, and customer emergencies.
Which messages should be used?
To explain: "Your order is being prepared. Carrier tracking will appear after the package is handed over."
For a peak in activity: "Preparation times may be slightly longer during periods of high demand."
For a missed deadline: "The announced timeframe seems to have passed. I am forwarding this to support with the current status."
How to manage partial orders?
An order can contain several items prepared from different stocks. Some products may leave before the others, with several trackings or dates.
The bot must explain this logic before the customer thinks an item has been forgotten.
Which KPIs should be monitored?
Track questions about preparation, exceeded deadlines, blocked orders, activity peaks, partial orders, and logistical transfers.
This data shows whether order statuses are sufficiently clear for the customer.
Which mistakes should be avoided?
Avoid confusing preparation and delivery, promising a date without status, minimizing a past due date, or ignoring a partial order.
The chatbot must make the wait understandable, not simply ask the customer to wait.
How can Qstomy help?
Qstomy can connect the chatbot to orders, stock, catalogs, warehouses, product proof, and support rules to respond clearly, 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
The preparation time must be explained as a separate step from the delivery.
What the customer must understand
The customer must know the status of their order, why it might take time, and when support needs to intervene.
The right chatbot limit
The chatbot can inform and reassure, but it must hand over blocked statuses, exceeded deadlines, and emergencies.
Enzo
July 1, 2026
