Turn vehicle descriptions into structured details
Make service and sales chats easier to process when customers describe vehicles informally.
Trigger
New WhatsApp Message Received
Polling trigger that monitors for new messages received in TimelinesAI WhatsApp chats.
Action
Clean Vehicle
Tool to standardize and parse vehicle data fields. use after obtaining raw vehicle info to extract brand, model, year, vin, and other identifiers.
Why this helps
Vehicle details arrive as mixed text, abbreviations, and partial identifiers that require manual cleanup.
- Extract key vehicle attributes
- Spot missing VIN or year data
- Speed up service triage
Setup
Build it in a few focused steps.
- 1Connect TimelinesAI and Dadata ru in Notis.
- 2Create an automation instructing Notis to extract and clean vehicle details from each relevant message.
- 3Pick New WhatsApp Message Received as the trigger.
- 4Choose a report channel and test with a real vehicle description.
Questions about this workflow
Can it process VINs?
Yes, ask Notis to preserve VIN and other identifiers in the cleaned output.
Can it handle several vehicles in one chat?
Yes, instruct it to separate each vehicle into its own result.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Timelinesai to Dadata ru. A trigger fires from one place; an action lands in another.
Timelinesai triggers
Dadata ru actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
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Connect any two apps with Notis in the middle.
Timelinesai and Dadata ru, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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No card. Works with personal or business Dadata ru.