How We Automated 80% of Support Tickets in 30 Days
A logistics SaaS company was bleeding $7,200/month on support staff. 80% of tickets were repetitive queries. We built a custom NLP WhatsApp bot that handled them automatically, saving $4,800/month in the first 30 days.
The Problem
1,200+ support tickets per month.Three full-time support agents costing $7,200/month combined. Average response time was 4 hours. Customers were churning because they couldn't get answers fast. The worst part: 80% of tickets were repetitive queriesthat a bot could answer instantly: “Where is my shipment?”, “How do I track my order?”, “Why was my delivery delayed?”
AI + Human Collaboration
AI analyzed 6 months of ticket data to identify the top 40 query patterns. Engineers built a WhatsApp bot with NLP trained on actual customer conversations. The bot integrated directly with the logistics API for real-time shipment data. Human agents now only handle escalations— complex or emotional cases that need empathy. The bot handles the rest 24/7.
4 Phases of Automation
Analyzed 6 months of support tickets. Identified top 40 query patterns. Grouped by category: tracking, billing, technical, escalation.
Trained NLP model on 1,200+ customer messages. Built WhatsApp bot with intent recognition and API integration for real-time data.
Integrated bot with logistics API for live shipment tracking. Tested 200+ edge cases. Set up fallback to human agents.
Deployed bot to WhatsApp. Monitored conversations, accuracy, and customer satisfaction. Continuous retraining based on new data.
“We were bleeding money on support for questions a bot could answer. Tyvonix built something in 30 days that saved us $4,800 every month. The ROI paid for the build in week one.”
Built with AI & APIs
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