Summary: For a traditional toy, the sale is the end. For an AI toy, the sale is the beginning. The moment a user scans the code, binds the device and starts the first conversation, the relationship between brand and user is only just being established. From device binding to character customization, from accumulated chat history to daily interaction summaries, from usage-time statistics to firmware OTA updates - the Mini Program or app is not simply a control tool, it is the ground from which a brand keeps connecting with users, understanding them and serving them. And we provide every one of these capabilities.
1. Where a traditional toy ends, an AI toy begins
The logic of a traditional toy is simple: produce, ship, stock, sell. The transaction completes and the relationship ends.
The user walks off with the toy and the brand has no idea who is playing with it, how, for how long, or whether they even like it. Reaching that user again means another round of advertising.
The logic of an AI toy is completely different.
The moment a user scans the code, downloads the Mini Program and binds the device, a real connection is established between brand and user. Every account bound to a device is a real user the brand can reach for years.
The difference is not "one more app", buta shift from a "sell the product" logic to a "grow the user" logic。
2. Managing the full user lifecycle: from binding to long-term connection
From the moment the box is opened to years of use, the Mini Program or app is present throughout. Every feature in it strengthens the relationship between brand and user.
Step 1: device binding - "who is using it"
After receiving the toy, the user scans the code and enters the brand's own Mini Program. One-tap sign-in with a phone number, then three steps to provisioning and device binding. At that moment the brand gets its first real piece of data: who this user is.
Device binding supports:
- One-tap WeChat phone-number sign-in, lowering the barrier to registration
- Bluetooth provisioning that is simple for users
- One account binding multiple devices, shared across the family
Step 2: device management - "how is it being used"
After binding, the brand is no longer "out of touch". Every time the user plays with the toy, the brand can see how the device is running:
- Check device battery level and online status
- Control device volume remotely
- View a list of all bound devices
- Switch between devices to see the details
- Data is retained when a device changes hands or is unbound
This data helps a brand understand how the product is actually used, and gives it a basis for improving it later.
Step 3: character customization - "how do they play"
The soul of an AI toy is its character. Users can create characters of their own to suit their taste:
- Choose a character
- Write a character description
- Upload a character avatar
- Switch freely between official and custom characters
Users create characters, talk to them and give them personality - the process itself is deep engagement. Through the admin console a brand can see which characters are most popular and which settings attract users most.
Step 4: chat history - "what did they talk about"
An AI toy and a child generate conversation data every day. That data does not disappear into the cloud; it is stored in full in the brand's own backend.
In the Mini Program, users can:
- View the complete chat history
- See the topics a child cares about and how they ask questions
- Stay on top of interaction quality and content safety
For a brand, chat history is the most direct source of user insight: What do children ask most? Which features get used most? Are the character's answers accurate? That data guides content optimization and product iteration.
Step 5: interaction summaries - "what came out of it"
An individual chat record is a fragment. A daily interaction summary turns those fragments into something useful.
Every day, users can see:
- Which topics the child talked about with the toy today
- Interaction time and number of conversations
- Which questions came up again and again
- The child's shifting interests and moods
Summaries accumulate into a "growth record" for the child. With that data a brand understands what users actually need and improves the product experience.
Step 6: data statistics - "what does the profile look like"
Statistics by week and by month:
- How long users interact with the device
- Interaction counts and activity trends
- Word-frequency statistics from chat history
- Distribution of conversation topics
Accumulated, this data becomes a clear user profile. The brand knows who is using the product, how they use it and what they need - precise grounding for later product development and operations.
Step 7: continuous upgrades - "better all the time"
A device is never frozen in place. Through firmware OTA updates a brand can push out new features, new content and new experiences remotely:
- Fix problems with no return to the factory
- Improve the experience and keep iterating
- Add features and extend the product lifecycle
Every OTA push is another touchpoint for the brand. The user feels that "this toy keeps getting better", and with each update the relationship deepens.
3. The brand-user relationship: from "a single transaction" to "a long-term connection"
A side-by-side look at how traditional toys and AI toys differ:
| Dimension | Traditional toys | AI toys (with a complete software system) |
|---|---|---|
| After the sale | The relationship ends | The relationship begins |
| Who the user is | Unknown | Account bound, reachable as a real identity |
| How the user uses it | Unknown | Device status, usage time, interaction data |
| What the user likes | Unknown | Chat history, word-frequency statistics, interaction summaries |
| When something goes wrong | After-sales service, returns | Remote diagnosis, OTA fix |
| Product upgrades | Buy a new model | New features pushed remotely |
| Repeat reach | Another ad campaign | App push notifications, content updates |
4. Whoever holds the data owns the user
Many AI solution providers on the market offer a "generic app" - every brand shares one app, and all user data accumulates on the solution provider's servers.
Which means: the users are not yours, the data is not yours, and there is no connection between brand and user.
Our approach is completely different:
The Mini Program or app is the brand's, the users are the brand's, the data is the brand's.
You connect with users through a Mini Program of your own, and every device binding, character record, chat history, interaction summary and usage statistic accumulates in your own backend. You never depend on a third party to reach your own users.
This is the real asset a brand builds with AI toys:Not the toy you sold, but the user behind it.
5. All of this is already built
Back to the full feature list at the top of this article: every item on it is designed for full user lifecycle management. From the first time a user scans and binds, through daily conversations, to continuous content updates and product iteration - the Mini Program or app is not the toy's "instruction manual", it is a long-term channel connecting brand and user.
After an AI toy is sold, the relationship between brand and user is only beginning. Every user, every conversation and every data point behind that toy is an asset that belongs to the brand. And all of it needs a complete software system underneath it.
And that system is already built and ready for toy factories.
Shenzhen Nablai Intelligent Technology Co., Ltd. — AI module specialists for smart toys
📧 contact@nablai.com.cn 🌐 www.nablai.com.cn