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Model Normalization
Real-world appliance data is messy. Model numbers arrive with trailing suffixes, inconsistent casing, extra punctuation, and brand names spelled a dozen different ways. Model Normalization cleans all of this automatically on every API call — no preprocessing required on your end.
What it does
Fix messy brand and model strings from real-world CRM data before they hit your database.
Example Request
GET Internal (applied on all lookups) Authorization: Bearer YOUR_API_KEY
How it works
- Your system sends raw input as received from CSR, form, or import
- ApplianceAPI normalizes the model: strips suffixes, fixes casing, resolves brand aliases
- The cleaned identity is used for lookup, matching, and verification
- You get back consistent, deduplicated data regardless of input quality
Why it matters
- Handles WRS325SDHZ/04, WRS325SDHZ01, and WRS325SDHZ identically
- Resolves brand aliases: sub zero, Sub-Zero, SUB ZERO, SUBZERO all map correctly
- Corrects common brand misspellings: WHILRPOOL, THERMADOOR, FRIDGIDAIRE
- Improves deduplication across your database and reporting
- Reduces false negatives from formatting differences in lookups
Who uses it
- CRM data cleanup
- Batch import normalization
- Consistent brand names
Current availability
Model Normalization is live and applied automatically on every API request. No separate endpoint call needed — normalization is built into all lookups, verification, and enrichment workflows.
Related features
Model Lookup API
Identify appliance brand, type, and title from a model number. Normalize messy CRM data.
Model Verifier
Validate model numbers before dispatch. Catch typos and invalid entries before they cause bad service calls.
Missing Model Detection
Every API miss is automatically logged, deduplicated, and queued for enrichment. Your gaps close over time.
Start using this feature
Join the waitlist for API access. Launching Spring 2026.