🔬 Enrich property inventory survey with image recognition and AI agent
⚡ 5,705 views · 🔬 Document Extraction & Analysis
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Description
This n8n workflow assists property managers and surveyors by reducing the time and effort it takes to complete property inventory surveys.
In such surveys, articles and goods within a property may need to be captured and reported as a matter of record. This can take a sizable amount of time if the property or number of items is big enough.
Our solution is to delegate this task to a capable AI Agent who can identify and fill out the details of each item automatically.
How it works
- An AirTable Base is used to capture just the image of an item within the property
- Our workflow monitoring this AirTable Base sends the photo to an AI image recognition model to describe the item for purpose of identification.
- Our AI agent uses this description and the help of Google’s reverse image search in an attempt to find an online product page for the item.
- If found, the product page is scraped for the item’s specifications which are then used to fill out the rest of the details of the item in our Airtable.
Requirements
- Airtable for capturing photos and product information
- OpenAI account to for image recognition service and AI for agent
- SerpAPI account for google reverse image search.
- Firecrawl.dev account for webspacing.
Customising this workflow
Try building an internal inventory database to query and integrate into the workflow. This could save on costs by avoiding fetching new each time for common items.
🔗 Nodes Used
Airtable, HTTP Request, Execute Workflow Trigger, AI Agent, OpenAI Chat Model, Structured Output Parser
📥 Import
Download workflow.json and import into n8n:
Workflow menu → Import from File