Omakase.ai Voice is a voice sales agent (AI customer service representative) for e-commerce and service-based websites, capable of turning your website into an AI sales engine that can listen, speak, and sell 24 hours a day, 365 days a year. It is not merely a reactive customer service chatbot, but rather one that proactively listens to customer needs, engages in natural communication, and provides personalized product recommendations, thereby driving purchases.
Main capabilities
- Hybrid voice and chat customer service: Combines voice conversation with a chat interface to provide an experience close to in-person customer service.
- Voice personas: Official materials mention that you can choose from a variety of voice personas (such as 4, 6, 10, 11 or more, depending on the plan), and it supports learning the voice of a specific person or character for use in the customer service AI.
- Page understanding and recommendations: Combines voice, visual cues, and real-time page analysis to make product recommendations, answer questions, and facilitate sales.
- Knowledge base and custom rules: Can be trained through an AI knowledge base and custom rules to adapt to your service content.
- Analytics and insights: Provides AI insights based on real conversation data to help understand customer needs and purchasing behavior; higher-tier plans also provide advanced analytics tools including lead management, as well as capabilities such as Shopify automatic add-to-cart.
- Customer service deflection: Officially claims it can reduce inquiry volume by about 50%.
How to use Officially stated to require no technical skills, with setup completed in about 1 minute: simply enter the URL to integrate and deployment is complete, with no coding required, and you can start in just a few minutes. If you want to change the design or settings, you can also customize them through an easy-to-understand UI designed for non-engineers.
Use cases
- E-commerce and D2C brands: Product recommendations, purchase guidance, and customer service reception.
- Service-based websites: Guide users to understand and choose suitable plans or courses.
- High-inquiry scenarios: Front-line handling when inquiries are concentrated, such as before and after campaigns, reducing customer service tickets.
- High-bounce-rate landing pages: Promote sign-ups and conversions by receiving customers within the page.
Cases and results (from official materials)
- Sparty (MEDULLA): Achieved more than 3,000 voice customer service interactions within 2 weeks after implementation, with a first-contact resolution rate of 90.8%.
- NOVA Language Company: Low implementation effort, launched within a few weeks; CVR increased to about 1.15 times.
- Shirokuma Power: Through conversational support, helps users eliminate anxiety about electricity rates and the complexity of procedures.
- GiftX: Achieves 24/7 365-day customer service and recommends gifts based on user needs and relationships.
- Haruyama Holdings: Product click count/total session count reached 104.6%, with one conversation resulting inmultiple product clicks.
- Com Expo Stadium Japan: Inquiry volume decreased by about 50% year over year, and customer service effort dropped significantly.
- A certain large human resources company: After implementation on a display advertising landing page, dozens of valid sign-ups and conversions occurred within 1 week, and ROAS was about 800% in the first week after implementation.
Limitations and notes Official materials do not provide specific price figures, the exact prices of each plan, free trial conditions, a list of supported platforms and languages, or the specific plan names corresponding to the number of voice personas; other materials mention that more than 15,000 customer service agents have already been created. The above performance data all comes from official materials, and actual results may vary depending on the scenario.
