AnnAI Chat
Multilingual × Multi-AI × High-Precision Chat Platform
Platform Overview
Integrate diverse channels like SNS, business chat, and websites,
and easily configure and manage AI agents via the staff portal.
Combinations of core and optional features, implementation can be completed in as little as one month.
AnnAI Chat System Architecture
Microsoft Azure’s multi-tenant architecture enables each enterprise and facility to easily build and operate their own AI agents.
Centralized management from tenant portal provisioning to metrics management and data uploads delivers high-precision knowledge retrieval and natural language responses powered by OpenAI and Pinecone vector stores.
Tokka Admin provides unified management across all tenants, visualizing operational status and performance.
End users can engage in natural conversations with chat agents reflecting brand colors and logos through diverse channels like QR codes, SNS, web, and apps.
Main Features
Document Uploads
・FAQs Real time learning
・Inputting product/menu information
The AI learns the content of FAQs
and responds to customer inquiries
based on what it has learned.
Chat History
Chatbot Conversation History Viewer
A screen displaying chat conversation history.
With various tools such as Language Translations, support tickets handling, and AI-Staff Switching.
Real time Translations
For overseas customers
Japanese staff who do not speak English can handle inquiries
Chat messages can be translated into the staff member's native language. In staff mode, messages typed by staff can also be translated and sent to customers.
AI⇔Staff Switching
For questions AI cannot answer
Staff respond in Staff Mode
Easily switch between AI and staff in a conversation. When AI determines it cannot answer a customer query, the inquiry is transferred to staff. Alternatively, staff can manually switch to Staff Mode using the switch button to handle the inquiry.
Metrics
Analyze customer chat usage over the past month
Analyze chat usage based on total chat volume, average response time, and other metrics from the past month.
Co-pilot
Search and collect necessary information from all chat histories.
Search and collect necessary information
from all chat content.
Examples:
What are the most common inquiries?
What trends were seen in cases requiring extended response times?
Automated Customer Service for Hotels and Accomodation Businesses
Automates multilingual inquiries arising from hotel and tenant support services, enabling 24/7 response.
AI understands customer inquiries and automatically routes them to the appropriate department or external system, streamlining labor-intensive operations. It also handles actionable tasks like reservations, orders, and delivery requests, with staff collaboration possible when needed. CRM integration enhances customer information management, simultaneously reducing operational workload and improving customer satisfaction.
The Concierge’s Dilemma
Hotel concierges agents handle real-time inquiries. Securing multilingual staff is challenging, and skilled personnel incur higher labor costs than general employees.
To enhance satisfaction among international guests, prompt, seamless, and stress-free service is constantly required. Implementing 24/7 multilingual AI agents resolves these issues.
Handing over requests to the appropriate department
The AI agent assesses inquiry content and automatically routes it to the appropriate customer service department.
Customer A’s request for “one cake” is routed to the restaurant department.
Customer B’s request for “delivery of their package” is routed to the delivery department.
Customer C’s request for “shirt cleaning” is routed to the laundry department.
This supports the work of frontline staff by ensuring inquiries are transferred to the correct department for handling.
Sales Assistant
Customer Filtering for Real Estate, Financing, and Insurance
SAI automates initial responses at sales counters, streamlining prospect screening, information gathering, and appointment scheduling. AI conducts conversational interviews to understand customer criteria and inquiries, then evaluates lead potential through scoring.
Only customers meeting the criteria are shared with staff, enabling automation of sales processes like CRM registration. Integration with websites, LINE, and QR codes allows 24/7 support, reducing the sales team’s workload while contributing to improved conversion rates.
Customer Filtering
STEP1: AI agent listens to customer requests
STEP2: Narrows down prospects based on requests
STEP3: Staff makes proposals and provides quotes to prospects
Customers can consult anytime, anywhere.
Requests made during conversations are scored to determine if they qualify as prospects. Staff use these scores to prioritize follow-ups, reducing wasted sales efforts and improving conversion rates.
e-Commerce Assistant
Product Description Generation and Recommendation
Features product descriptions and recommendation capabilities to automate customer purchase support. Beyond automated FAQ responses, it makes appropriate product suggestions based on past sales history and tag information, while continuously learning from staff knowledge to improve accuracy.
Furthermore, by integrating with ordering systems, inventory management, and shipment tracking, the entire purchasing process can be completed within the chat. Implementation promotes improved customer satisfaction and operational efficiency, supporting the automation of e-commerce site operations.
Product Description & Recommendation Feature
By training AI agents with the knowledge of experienced staff and past sales history, they can provide customers with increasingly accurate recommendations over time.
Tailoring proposals to each customer’s circumstances and preferences will enhance customer satisfaction.
Integration with Order and Inventory Management Systems
By integrating AI agents with order systems and inventory management systems, it’s possible to complete the purchase process within the chat itself. If this leads to purchases driven by highly accurate product recommendations, it can also boost conversion rates.
It can also contribute to improving usability and reducing unnecessary workload on staff.
Our plans
Trial
- 20-day Free trial
- 5 staff accounts
- ¥0 running cost
- 1-month contract period
Business
- 5 staff accounts
-
Running Cost
¥20,000/¥50,000
(Up to 3,000 queries) - 6-month contract period
- First time data checking up to 4,300 words (Japanese)
Enterprise
- Contact Us
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