Return Authorization Processing with AI

AI Agents with LasaAI · Beginner ·🚀 Entrepreneurship & Startups ·2mo ago

About this lesson

A twelve-hundred-dollar jacket return hits the queue. Policy check, restocking fee, manager escalation, customer notification -- all handled before the CS manager sits down. This video walks through how an AI agent evaluates return requests against your exact policy, calculates refunds, and routes high-value cases for approval. **What you'll see:** - A real return request (RET-1092) processed against a 30-day return window - Restocking fee calculation: 15% on a $1,200 item ($180 fee, $1,020 net refund) - Manager escalation for high-value returns above the $200 threshold - The full evaluation report: request summary, policy check, decision rationale, refund breakdown **Who this is for:** - Customer Service Managers processing dozens of returns daily - Ecommerce Operations Leads tired of inconsistent policy application - Returns teams at mid-size online retailers looking to standardize decisions **Timestamps:** 0:00 Refund confirmation walkthrough 0:15 The Tuesday morning return queue 0:35 When consistency breaks down 0:55 Why rules engines and chatbots fall short 1:15 How the AI agent evaluates every return 1:35 Output close-up: evaluation report breakdown 2:00 Before and after comparison 2:20 Get started with lasa.ai **FAQ:** Q: Does the agent handle restocking fees automatically? A: Yes. It calculates fees based on your policy percentage and the item's return amount, then includes the breakdown in the evaluation report and customer confirmation. Q: What happens with high-value returns? A: Returns above your configured threshold (e.g., $200) are escalated to a manager with a complete evaluation report attached. The manager reviews and approves without reconstructing the case. Learn more at https://lasa.ai/solutions/ecommerce/return-authorization-processor #ReturnAuthorization #EcommerceReturns #AIAgent #CustomerService #ReturnProcessing #RefundAutomation

Original Description

A twelve-hundred-dollar jacket return hits the queue. Policy check, restocking fee, manager escalation, customer notification -- all handled before the CS manager sits down. This video walks through how an AI agent evaluates return requests against your exact policy, calculates refunds, and routes high-value cases for approval. **What you'll see:** - A real return request (RET-1092) processed against a 30-day return window - Restocking fee calculation: 15% on a $1,200 item ($180 fee, $1,020 net refund) - Manager escalation for high-value returns above the $200 threshold - The full evaluation report: request summary, policy check, decision rationale, refund breakdown **Who this is for:** - Customer Service Managers processing dozens of returns daily - Ecommerce Operations Leads tired of inconsistent policy application - Returns teams at mid-size online retailers looking to standardize decisions **Timestamps:** 0:00 Refund confirmation walkthrough 0:15 The Tuesday morning return queue 0:35 When consistency breaks down 0:55 Why rules engines and chatbots fall short 1:15 How the AI agent evaluates every return 1:35 Output close-up: evaluation report breakdown 2:00 Before and after comparison 2:20 Get started with lasa.ai **FAQ:** Q: Does the agent handle restocking fees automatically? A: Yes. It calculates fees based on your policy percentage and the item's return amount, then includes the breakdown in the evaluation report and customer confirmation. Q: What happens with high-value returns? A: Returns above your configured threshold (e.g., $200) are escalated to a manager with a complete evaluation report attached. The manager reviews and approves without reconstructing the case. Learn more at https://lasa.ai/solutions/ecommerce/return-authorization-processor #ReturnAuthorization #EcommerceReturns #AIAgent #CustomerService #ReturnProcessing #RefundAutomation
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Chapters (8)

Refund confirmation walkthrough
0:15 The Tuesday morning return queue
0:35 When consistency breaks down
0:55 Why rules engines and chatbots fall short
1:15 How the AI agent evaluates every return
1:35 Output close-up: evaluation report breakdown
2:00 Before and after comparison
2:20 Get started with lasa.ai
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