Turn raw vehicle details into structured data
Pass the vehicle information an AI workflow found in a document or conversation to Dadata for structured parsing.
Trigger
Webhook received
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Action
Clean Vehicle
Identifies and standardizes a vehicle's make and model from text.
Why this helps
Vehicle descriptions can mix brand, model, year, VIN, and other identifiers in one unstructured string.
- Extract supported vehicle fields from raw information.
- Organize brand, model, year, VIN, and other identifiers.
- Reduce manual parsing of vehicle descriptions.
Setup
Build it in a few focused steps.
- 1Connect Ai ml api and Dadata ru once in the Notis portal.
- 2Create an automation in Automations, New Automation, or tell Notis to create it from any channel.
- 3In one instruction, ask Notis to send raw vehicle details from the AI workflow to Dadata Clean Vehicle and return the parsed fields.
- 4Choose a webhook trigger and provide its URL to the workflow that extracts vehicle details.
- 5Choose a report channel and test with one real vehicle description.
Questions about this workflow
Can this look up a vehicle from an image by itself?
No. Ai ml api must first provide vehicle information to the webhook. Dadata Clean Vehicle parses the supplied raw details.
What details can be extracted?
The action can extract brand, model, year, VIN, and other identifiers from vehicle data.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Ai ml api to Dadata ru. A trigger fires from one place; an action lands in another.
Ai ml api triggers
Dadata ru actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Clean Address
Standardizes a Russian postal address and parses its components.
Webhook trigger
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Clean Birthdate
Standardizes birthdates and reports whether they could be parsed.
Clean Email
Cleans and validates an email address, correcting common domain typos.
Clean Name (FIO)
Parses and standardizes a full name, with gender and grammatical forms.
Clean Passport
Checks a Russian passport number against the official registry.
Clean Phone
Standardizes and validates a phone number.
Clean Vehicle
Identifies and standardizes a vehicle's make and model from text.
Clean Composite Record
Standardizes contact records containing multiple types of data.
Connect any two apps with Notis in the middle.
Ai ml api and Dadata ru, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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