---
schema_version: "1"
id: 63a71446f342b696a77606187bf876263fe0677f39989d93f9440ef596a7a735
title: Create Custom Fields
collection: admin
version: current
locale: en-us
portal_url: https://docs.salesforce.com/admin/current/en-us/service/264-0-0/fs_asp_custom_fields.md
canonical_url: https://help.salesforce.com/s/articleView?id=service.fs_asp_custom_fields.htm&release=264.0.0&type=5
source_site: help.salesforce.com
content_type: documentation
content_hash: 9bb7684ca5ad62e786d653c288b5a4c4e04b3a58299d2b0706f44d728e0e3b48
description: Integrate custom fields in the Asset object for accurate asset usage tracking and optimized predictive capabilities. These fields provide vital data for the AI model, leading to more precise future asset utilization predictions.
products:
  - Field Service
release: "264"
---
# Create Custom Fields

Integrate custom fields in the Asset object for accurate asset usage tracking and optimized predictive capabilities. These fields provide vital data for the AI model, leading to more precise future asset utilization predictions.

## Leverage Custom Fields for Enhanced Asset Service Prediction

For the highest quality model performance, include fields that comprehensively illustrate how an asset is used. This rich dataset can be populated either through the Ingestion API or by creating corresponding custom fields.

The mapping of these custom fields is a manual process within the data stream.

- **Navigate to CRM Asset Object**: In the Object Manager, go to the CRM Asset object, and then go to **Fields and Relationships**.
- **Create Essential Fields**: Create the following two critical fields:
    - **TotalUsage**: This field should be of the Number data type to record the cumulative usage of the asset.
    - **TotalUsageUOM** (Unit of Measure): This field should be of the Text data type to specify the unit of measure for TotalUsage such as hours, miles, and cycles.
- **Ensure Data Accuracy and Mapping**: To guarantee the accuracy of your data, include all existing relevant fields in your data source. Subsequently, map these fields to their corresponding usage fields within the Data Model Object (DMO). This comprehensive mapping ensures that all pertinent data contributes to the AI model's training and predictive accuracy.

Following the **One-click** action, a manual refresh of the data stream is necessary to ensure the integrity and accuracy of the mapped data.

## Standardize Units of Measure for Usage Fields

Consistency in the unit of measure for all usage fields is crucial. Discrepancies in predictions can arise if different units are used. It’s essential to convert all units to a single, unified measure to ensure data uniformity.