GenAI-Powered Warranty & Claims Automation for Retail Industry

Service Overview

Retailers face growing volumes of warranty and service claims tied to product returns, extended coverage plans, and in-store repairs. Processing these claims manually is slow, error-prone, and puts pressure on support teams—especially during peak seasons.

Dedicatted’s Warranty & Service Claims Processing Solution for retail leverages AWS Generative AI services—including Amazon Textract, Amazon Bedrock, and Amazon Comprehend—to automate the intake, extraction, classification, and validation of claim submissions. Whether claims come from physical receipts, online portals, or third-party vendors, our solution standardizes processing, detects anomalies, and integrates with your existing CRM, POS, or return systems.

Proven Delivery Process

We follow a structured and efficient approach, refined through past successful projects:

• FREE 2-Hour Workshop – We begin with a complimentary session to analyze your product return workflows, warranty validation logic, and system integration needs.
• Solution Design & Planning – Based on the workshop insights, we provide a detailed solution architecture, timeline, and cost estimate.
• Project Kickoff – Once approved, the implementation follows these key steps: AWS Infrastructure Setup – Deploying the necessary cloud environment.
  • Large Language Model (LLM) Evaluation – Testing and tuning models for receipt understanding, warranty text extraction, and product data matching.
  • Automated Claims Pipeline – Extracting data from receipts, warranty forms, or customer messages and validating claims based on eligibility.
  • System Integration – Connecting with retail platforms like Shopify, Salesforce, NetSuite, or custom returns tools.
  • Confidence Scoring & Flagging – Supporting agents with high-confidence classifications and fraud detection.
  • Testing & Optimization – Validating for peak-season volumes and real-world accuracy.
  • Handover & Knowledge Transfer – Delivering the final solution with training and support.

Read more: Here