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How avatarin built a 24/7 retail agent with GPT-Realtime

OpenAI Blog

A Japanese electronics chain now has an AI agent answering shopper questions round the clock, in multiple languages. Two weeks in, 30,000 people used it and 92% liked what they got.

Yamada Denki, one of Japan's biggest electronics retailers, has a staffing problem that's familiar to any retailer anywhere: shoppers show up with questions at hours when nobody's on the floor to answer them, and increasingly those shoppers don't speak Japanese. avatarin, the company behind the fix, built a retail agent on top of OpenAI's GPT-Realtime model and pointed it at that exact gap.

The numbers from the rollout are the interesting part. In just two weeks of deployment, 30,000 people used the agent, and 92% of those who filled out a survey afterward said the experience was positive. That's a fast ramp for something that's essentially replacing a human being standing at a counter, and it suggests the bar for "good enough" voice support in retail has dropped a lot faster than most people assumed.

What makes GPT-Realtime a fit here isn't just that it talks. It's that it talks in real time, across languages, without the lag or stiffness that made earlier voice bots feel like talking to a phone tree. For a store chain serving both Japanese locals and a growing wave of international shoppers and tourists, that multilingual, always-on quality does something a night-shift employee simply can't: it never clocks out and it never needs a translator on call.

avatarin isn't a household name outside Japan, but this deployment is a decent case study in where voice AI actually earns its keep right now — not in flashy demos, but in the unglamorous 2 a.m. question about whether a rice cooker comes with an English manual.

My take

This is the boring-but-real use case that voice AI needed to prove itself with, and I'd bet we'll see a dozen quiet copies of it across Asian retail before Western chains even notice. Everyone's obsessed with AI agents booking flights or writing code, but 30,000 people asking a bot about appliances at odd hours is the kind of unsexy adoption that actually pays for itself.

Read more about this at: OpenAI Blog

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