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We saved 32% on manpower by using GPT-4 to process millions of after-sales tickets. Avoid these three common mistakes.
We used GPT-5.5 in the European e-commerce customer service system, which saved 62% of the manpower, but we encountered two fatal pitfalls.
AirAi allows for one-click configuration of tools such as Claude, Codex, ChatGPT, Antigravity, and more.
2026 AI Aggregation Platform Technology Guide: A Comprehensive Manual for Overseas Developers and Small and Medium-Sized Enterprises
I cut the LLM API costs by 70%: Practical notes on using AirAi with routing and caching I reduced the costs associated with the LLM API by 70%: Practical experiences using AirAi in conjunction with routing and caching techniques
We used Claude 3 Opus to process cross-border customs declaration forms, which saved us 60% on manual review costs, but we encountered three pitfalls along the way.
2026 AI API Gateway Practical Guide: A Comprehensive Explanation of Efficiency Improvement, Cost Estimation, and Pitfalls to Avoid
We transferred the customer service ticket processing to Claude 3.5 Sonnet, saving 21,000 euros in labor costs over three months.
Running supply chain forecasting with o1-mini: We saved 62% on inference costs, but we ran into 2 fatal pitfalls.
We used GPT-4o to increase the accuracy of our multimodal customer service to 92%, but we really suffered a lot from these three issues.