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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.
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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.
After the Southeast Asian beauty products e-commerce platform privatized and deployed its AI customer service, the conversion rate of inquiries in Q2 increased by 27%.
After our team switched address recognition to GPT-5, the error rate associated with code 429 decreased from 13% to 0.2%, but we encountered two unexpected issues.
Our team reduced the cost of address resolution by 62% using GPT-3.5, and at the same time, we solved the issue of traffic throttling during major promotions.
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Southeast Asian fresh food e-commerce companies use Claude for order quality inspection, saving 3 customer service positions, but they've encountered 2 fatal pitfalls.
Enterprise-level deployment of LLM inference gateways: We reduced the 429 error rate from 13% to 0, and also saved 28% in costs.