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Handling 5,000+ Emails MonthlyHow we built a complete AI-powered customer service pipeline for an e-commerce brand, from email capture and AI classification to Shopify order enrichment and multilingual auto-response, resolving 65% of tickets without a single human touch.
Amplence builds AI pipelines that handle customer service at scale, so your team focuses only on what actually needs a human.
CollageDepot was processing over 5,000 customer service emails per month across four languages, and their support team was overwhelmed. Response times had climbed to 48+ hours, customer satisfaction was dropping, and the team was spending 70% of their time answering repetitive questions about order status, shipping delays, and return policies. The business had no visibility into ticket volume trends, resolution rates, or sentiment patterns. They needed an intelligent, automated pipeline that could understand customer intent, pull live Shopify order data, respond accurately in the customer's language, and escalate only the genuinely complex cases to a human agent.
Every email that arrives in CollageDepot's support inbox passes through a GPT-4o classification layer before any human or downstream system interacts with it. The model detects the customer's primary intent, order inquiry, refund request, product question, shipping complaint, or general feedback, extracts key entities like order IDs and product names, scores the email for urgency and negative sentiment, and assigns a priority tier. This happens in under two seconds per email and gives every subsequent stage of the pipeline the structured context it needs to act accurately and automatically.
For any email classified as an order-related inquiry, the pipeline immediately triggers a Shopify API call using the extracted order ID. It retrieves real-time order status, fulfillment progress, tracking number and carrier, estimated delivery window, and product details. This enriched data is injected directly into the response generation prompt, ensuring that every auto-reply references the customer's actual, live order information, not a generic template. Customers receive answers that are specific to their situation, which is the primary reason the platform achieves a 65% auto-resolution rate without any human involvement.
GPT-4o generates fully personalized, brand-voice-aligned responses in the customer's detected language, English, Spanish, French, or German. Each response addresses the customer by name, references their specific order details, answers their identified question directly, and includes relevant policy excerpts where appropriate. The tone is calibrated to match CollageDepot's existing brand voice, so automated responses are indistinguishable from those written by a skilled human support agent, except they arrive in under 60 seconds, around the clock.
The support team retains full visibility and control through a live operations dashboard built on Supabase real-time subscriptions. Managers can monitor incoming ticket volume, track auto-resolution rates by category and language, review sentiment trend graphs, and see the live escalation queue at any moment. Any ticket can be manually overridden, reassigned, or flagged for review without touching the underlying pipeline. Escalation thresholds, the sentiment and complexity scores that trigger human handoff, can be adjusted directly from the dashboard, allowing the team to tune the balance between automation and human oversight as their needs evolve.
The entire pipeline is orchestrated with n8n, giving CollageDepot's operations team full visual control over the workflow logic without any engineering dependency. Email ingestion, AI classification, Shopify enrichment, response generation, multilingual delivery, and escalation routing each exist as discrete, independently-logged workflow nodes. This means any stage can be paused, edited, or replaced without disrupting the rest of the pipeline, and the team can see exactly where any given email is in the process at any moment.
n8n visual workflow orchestration was a deliberate architectural choice over a custom-coded pipeline. It means the client owns the system fully, they can extend it, audit it, and adapt it to new business requirements without returning to a development team. The AI does the intelligent work; n8n provides the transparent, controllable infrastructure around it.
Sentiment-based escalation logic is what makes high automation rates trustworthy rather than risky. GPT-4o scores every inbound email for negative sentiment intensity, urgency language, and complexity signals. Emails that exceed defined thresholds, an angry customer threatening a chargeback, a multi-issue complaint with legal language, a VIP account with a high-value order problem, bypass the automation layer entirely and are flagged for immediate human review, with all classification data and order context pre-loaded so the agent can respond intelligently from the first second.
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