Why the standard Data Loader is painful
Salesforce Data Loader works. It has worked for 20 years. It also requires Java, has a UI that looks like it was built in 2004 (because it was), and makes you manually map every CSV column to a Salesforce field by clicking through dropdown menus.
For a CSV with 5 columns, this is fine. For a migration file with 80 columns, it is a tedious, error-prone process. Map "First Name" to FirstName. Map "Email Address" to Email. Map "Acct ID" to AccountId. Over and over.
AI-assisted field mapping
Upload a CSV and Pocavi reads the column headers, analyses the sample data, and suggests the correct Salesforce field mapping automatically. "Company Name" maps to Account.Name. "Phone Number" maps to Phone. "Postcode" maps to MailingPostalCode.
- AI analyses column headers and sample values to suggest mappings
- Confidence scores for each suggestion so you know what to double-check
- Override any mapping with a searchable field picker
- Supports standard fields, custom fields, and lookup relationships
You review the suggestions, adjust anything that looks off, and confirm. What used to take 15 minutes of clicking through dropdowns takes 30 seconds of reviewing suggestions.
Insert, update, upsert, or delete
All four DML operations are supported. Choose your operation, select the external ID field for upserts, and go. Pocavi uses the Salesforce Bulk API under the hood, so large files are processed efficiently without hitting API limits.
- Insert: create new records
- Update: modify existing records by ID
- Upsert: insert or update based on an external ID field
- Delete: remove records by ID
- Bulk API for efficient processing of large files
Job history and error handling
Every data load job is logged with the operation type, record count, success/failure counts, and timestamp. Failed records are reported with the specific Salesforce error message so you can fix and retry without re-uploading the entire file.
No Java installation. No manual field mapping. Upload a CSV, review the AI suggestions, and load. Data imports that used to take an hour of setup take minutes.
Built for daily use
This is not a tool you set up once for a migration and never touch again. It is designed for admins who load data regularly: weekly account updates, monthly territory assignments, quarterly data cleanups. Fast enough to use every day without context-switching to a desktop app.