Claim records from customer photos
A customer sends a photo, and AI fills in the claim
A CS team that gets claims as photos, in manufacturing, food, consumer goods or field installation, set up a flow where AI reads the product name, lot, best-before date and damage from each photo and fills in the claim record.
The problem
- 01
Typing details off a photo
Agents zoomed into photos to copy product names and lot numbers by hand, and the next inquiry had to wait.
- 02
Asking customers twice
Agents called back to confirm what the photo already showed, so customers explained everything twice.
- 03
No running count of claim types
Claims sat in chats and notes, so no one could tell which products kept having which problems.
How Trackit solves it
- 1
The customer sends a photo and a note through a web form
The customer submits a photo of the package or the site along with what happened. Submitting the form creates a new claim record, and the attached photo starts the workflow. Agents have nothing to copy first.
- 2
AI reads the product details and the problem type
AI file analysis reads the product name, lot number, best-before date and damage from the photo, and picks a problem type from the options the team set (damaged package, foreign object, spoiled, short count). A create-or-update-record block finds the customer by the phone number on the form, or creates one for a first-time customer.
- 3
The claim is filled in and handed to an owner
An update-record block writes the extracted values and the matched customer onto that claim. A create-task block assigns a review task to the claim owner, who gets notified. On a dashboard, claims grouped by product and type show which problems keep coming back.
- TriggerFile attachedA photo from the web form lands on a new claim record.
- AIAI file analysisReads product, lot, best-before date and type from the photo.
- ActionCreate or update recordFinds the customer by phone number, or creates one.
- ResultUpdate recordWrites the values and the customer onto the claim.
- ResultCreate taskAssigns a review task to the claim owner.
What changed
Before Trackit
With Trackit
More use cases
- Phone sales team
Customer records filled from calls and photos
Work-phone calls arrive through a CTI webhook and car photos through a web form, and AI reads both into one customer record.
- B2B manufacturers
Customer requests from intake to resolution
Sample, defect and service requests are linked to the customer and deal, with team assignment, approval and outcome on one record.
- Subscription and maintenance businesses
Early alerts for at-risk customers
AI regularly reads each customer’s activity and renewal date, scores churn risk, and alerts the owner about at-risk customers.

