{"id":2424,"date":"2025-08-28T08:40:32","date_gmt":"2025-08-28T03:10:32","guid":{"rendered":"https:\/\/www.daalchini.co.in\/blog\/?p=2424"},"modified":"2025-08-28T15:54:13","modified_gmt":"2025-08-28T10:24:13","slug":"customer-support-for-vending-machine","status":"publish","type":"post","link":"https:\/\/www.daalchini.co.in\/blog\/customer-support-for-vending-machine\/","title":{"rendered":"AI Powered Customer Support for Vending Machine [2025]"},"content":{"rendered":"

At Daalchini, we power over 2,00,000 vending machine orders every single day across India. In this blog we are going to share that how we Solved 2,000 Daily Customer Tickets with Just 5 People and AI Magic<\/span><\/p>\n

Now here\u2019s the math: even if just 1% of those orders run into issues (payment stuck, product not dispensed, or order mismatch), that\u2019s 2,000 customer tickets to be solved daily. Traditionally, this would need a team of 15\u201320 full-time agents, assuming each agent handles 100\u2013150 queries a day.<\/span><\/p>\n

We do it with just 5 support agents and 1 team lead! And here\u2019s how we made it happen, not with brute force, but with intelligent tech, smart AI, and an automation bias.<\/span><\/p>\n

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Step 1: The Support Bot That Never Sleeps<\/strong><\/span><\/h3>\n

We began by building an AI-powered chatbot that talks to customers across channels, including websites and apps, including WhatsApp. This bot isn\u2019t just a glorified FAQ. It understands context, asks the right questions, and automatically tags the nature of the complaint.<\/span>
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Step 2: AI That Reads Like a Human<\/strong><\/span><\/h3>\n

Most customers upload screenshots of payments or photos of the vending machine screen, so we trained OCR (Optical Character Recognition) tools to extract transaction IDs, machine IDs, and timestamps, all from those images.<\/span><\/p>\n

Better yet, we now use AI-based image interpretation to identify:<\/span><\/p>\n