News, tips and resources about Zaapi

Learn how to turn customer conversations into practical business insights with Zaapi’s free AI Prompt Pack. This guide shows you how to export your chat data and use ChatGPT, Claude, Gemini, or other LLMs to uncover common customer enquiries, support bottlenecks, team performance issues, dropped conversations, and AI Agent knowledge gaps, helping you make better decisions about customer support and automation.

Learn how to create a professional online quotation that’s ready to send in minutes. This guide covers the essential information every quotation should include, how to choose and customise a Canva template, and what to check before sending it to a customer. You’ll also find practical tips for creating clear, easy-to-read quotations that save time, reduce back-and-forth, and help customers make decisions with confidence.

Learn how to turn customer chat data into repeat sales and stronger customer loyalty. This article explains how e-commerce businesses can use conversation and purchase data to segment customers, send targeted broadcasts, automate post-purchase follow-ups, and uncover insights that improve retention and bring customers back.

AI agents are changing how e-commerce businesses handle customer support, improve chat response rates, and reduce costs across Shopee, Lazada, and TikTok Shop. In this webinar with Content Shifu, Zaapi COO Vic explains how AI agents manage customer conversations, when to escalate chats to human agents, and how to calculate the real cost of AI customer support. Explore a complete cost-per-message breakdown for 70,000 monthly chats, discover when a paid AI agent becomes cost-effective, and learn when a free AI tool is still the smarter choice.

As e-commerce sales grow, customer chat volume often grows with them, pushing businesses to add more support staff and increasing operating costs. A different model uses AI-powered customer support to handle routine enquiries, a unified inbox to manage conversations across channels, and skilled admins for cases where human expertise matters. The result is a support operation that can handle more volume without increasing headcount at the same pace.

AI works best in customer support when it knows when to hand the conversation to a human. This guide breaks down a four-step AI escalation workflow, from deciding which conversations AI should handle and setting escalation triggers to creating seamless handoffs with full context and measuring the right team KPIs, so businesses can automate routine support without sacrificing the human touch.

The "screen-switching crisis" (forcing admins to juggle chats across multiple separate platforms) costs e-commerce brands up to 30% in support efficiency and results in lost revenue from dropped messages. Upgrading to a unified inbox fixes this infrastructure flaw by bringing all customer channels into a single interface, allowing support teams to reply faster, preventing missed inquiries, and providing the centralized data foundation required to effectively scale customer service.

For expanding e-commerce businesses, relying on ChatGPT for customer support creates operational friction as message volumes scale across LINE, Shopee, Lazada, and TikTok Shop. Upgrading to a purpose-built AI agent like Zaapi bridges the gap between passive text generation and autonomous action, allowing AI to read context, access real-time catalog data, and resolve cases 24/7. Understanding the key differences in an AI agent vs. chatbot framework enables Thailand’s leading e-commerce brands to cut per-message support costs while driving higher revenue per chat.

Most customer support teams track response time and CSAT, but those metrics don't tell you whether support is becoming more efficient or profitable. This guide explains the four KPIs that matter most: cost per message, AI resolution rate, resolution time, and revenue per chat. Learn how leading e-commerce brands use these metrics to reduce support costs, improve AI performance, and grow revenue.

Customer buying intent decays by the minute, making a slow e-commerce response time the ultimate conversion killer. Discover how leading Thai brands like iHAVECPU and GQ Apparel transformed their chat commerce strategy by deploying AI to handle 80% of routine FAQs. Learn how they slashed average response times by nearly half and boosted returning-customer rates, proving that automated 24/7 customer support is a revenue driver, not a cost centre.