NFF returns drain margin faster than warranty reserves can adapt—custom integrations let you catch invalid claims before they hit your books.
Integrate warranty validation and claims processing using Python SDKs that connect to your existing ERP and service systems. Build custom fraud detection rules, automate entitlement checks, and process NFF returns without vendor lock-in.
Warranty entitlement data scattered across ERP, CRM, and service platforms. Building a unified claims validation layer requires connecting to systems that weren't designed to talk to each other.
Off-the-shelf warranty platforms offer fraud detection you can't retrain or customize. When your refrigerator returns spike during a heat wave, you need to adjust detection logic—not wait for a vendor update.
Proprietary warranty platforms trap your claims data and business logic inside closed ecosystems. Switching costs escalate when your validation rules and refurbishment workflows can't migrate.
Bruviti's API-first design lets you build warranty validation and claims processing on top of your existing infrastructure. Python and TypeScript SDKs connect to ERP systems, service databases, and parts catalogs without forcing data into a proprietary schema. You own the integration code, the business logic, and the data transformations.
The platform exposes endpoints for entitlement verification, fraud scoring, and NFF prediction—each returning structured JSON you can route, log, or transform in your own application layer. Train custom fraud detection models using your historical claims data, then deploy them via API without waiting for vendor releases. When a new product line launches or a seasonal failure pattern emerges, you update the rules directly.
Build custom image analysis pipelines for compressor housing failures or heat exchanger defects. API accepts microscopy images and returns defect classification to validate warranty entitlement.
Automate claim categorization for HVAC systems and major appliances. Train models to distinguish component failures from installation errors, then route claims to the correct refurbishment queue.
Appliance manufacturers process thousands of warranty claims weekly across product lines with 10-15 year lifespans. Your integration must validate entitlement against decades of model/serial data while distinguishing legitimate compressor failures from user-caused damage. The API layer sits between your service intake channels and the warranty reserve calculation—catching NFF returns before they inflate accruals.
Connect the platform to your parts catalog to cross-reference claimed failures against known component lifespans. When a customer reports a 3-year-old refrigerator compressor failure, the API checks historical failure rates for that model year, flags anomalies, and surfaces similar claims for fraud review. Your developers control the decision thresholds and escalation rules.
The platform requires a product entitlement endpoint from your ERP (to verify warranty status by serial number) and a parts catalog endpoint (to validate claimed component failures). Most integrations use REST APIs with OAuth 2.0 authentication. Python SDK examples show how to map ERP schema to the platform's expected JSON structure.
Yes. The platform accepts labeled training data from your historical claims—mark known fraudulent returns, NFF cases, and legitimate failures. Train a custom classifier using the Python SDK, then deploy it via API. You control feature selection, detection thresholds, and retraining cadence without vendor dependencies.
Build conditional fraud scoring logic that adjusts detection thresholds based on external factors. When ambient temperature data shows regional heat events, relax compressor failure flags for affected ZIP codes. The API accepts context variables alongside claim data—your code controls the weighting.
You control where claims data lives. The API processes entitlement checks and fraud scoring in-memory, returning results without storing PII or transaction details. For model training, you can use on-premises deployments or specify cloud regions that match your compliance requirements. All training data remains in your environment.
Extract validation rules as code using the platform's rule builder API. Map your current entitlement logic, fraud triggers, and escalation workflows to Python functions that call the appropriate endpoints. Run parallel processing—legacy platform and new API—to validate accuracy before cutover. The SDK includes migration utilities for common warranty system patterns.
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Talk to our API team about SDK access and integration architecture for appliance warranty claims.
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