Education x AI Platform 'Retune Lab' to Launch on May 1st. Visualizing Unsuccessful Customer Service, AI Provides Individual Coaching.
Inter-Bell Co., Ltd. is launching "Retune Lab," an AI coaching platform for customer service, on May 1st. It combines proprietary customer service data with generative AI to scientifically enhance the customer service skills of individual sales staff, aiming for over 1,000 contracts by 2028.
📋 Article Processing Timeline
- 📰 Published: April 28, 2026 at 22:04
- 🔍 Collected: April 28, 2026 at 13:31
- 🤖 AI Analyzed: April 28, 2026 at 13:51 (19 min after Collected)
Inter-Bell Co., Ltd. (Headquarters: Shin Toranomon CORE, 4-1-1 Shinbashi, Minato-ku, Tokyo; Representative Director and President: Katsunori Tanaka) will officially release its customer service AI coaching platform "Retune Lab" on Friday, May 1, 2026. This service leverages the knowledge and achievements accumulated over approximately 2 years and 8 months from the company's independently developed customer service visualization tool "JAN8 CS," combining it with generative AI to scientifically elevate the customer service skills of each sales associate. The company aims to begin external sales in the fall of 2026 and exceed 1,000 contracts by 2028.
The coaching philosophy of Retune Lab is centered around empowering sales associates to provide customer service in their own unique way. By integrating proprietary customer service data with generative AI, the platform implements a "growth cycle mechanism" for sales associates.
Service Overview
Retune Lab is a customer service AI coaching platform that completes the "Record → Analyze → Coach" process in three steps.
■ Three Main Functions
* Retune Coach: A coaching function where users adjust their growth for improved sales performance through dialogue with an AI coach.
* Input: Record customer service information in a 60-second, multiple-choice form during spare moments. A key feature is the ability to input information about "unpurchased" interactions.
* Share Lab: A chatroom where colleagues in similar situations and categories can freely discuss sales growth.
■ Reasons for Focusing on "Unpurchased" Records
Just as in tests and learning, abilities improve by repeatedly reviewing and practicing areas where mistakes were made. In sales and customer service, the content of work is often not easily reflected in numbers, making reflection a neglected aspect. Retune Lab connects "unsuccessful customer interactions" to growth by recording and analyzing them.
■ AI that Grows for Both Individuals and Teams
In addition to learning individual user data, input information from all users is accumulated in the database, continuously enhancing expertise in the customer service and sales domain. Furthermore, it is designed as a "customer service specialized" AI, incorporating approximately 2 years and 8 months of proprietary customer service data and analysis knowledge from development staff, rather than a general-purpose LLM.
■ Coach Selection System
Users can select a coach that suits them from 5 personalities (strict, gentle, logical, energetic, humorous) x gender x 4 speaking patterns. Matching users with coaches they feel comfortable consulting facilitates deeper dialogue and growth.
Background of Development
In the retail, apparel, and sports industries, the customer service skills of sales associates are a crucial management challenge directly linked to sales. However, traditional training methods often relied on the "intuition" and "experience" of veteran staff, leading to inconsistencies in educational quality and a lack of instructional resources over many years.
Inter-Bell addressed this challenge by first developing "JAN8 CS," a tool to "visualize unsuccessful customer service." This service accumulated customer service logs through 60-second multiple-choice input, identifying the causes of unsold items through data, and has been successfully implemented, primarily in the fashion and sports industries.
As a result of JAN8 CS implementation, one sports brand staff member improved their achievement rate from 62% to 94%. A fashion brand doubled its monthly sales from 1.9 million yen to 3.7 million yen, accumulating evidence of results proven by numbers.
On the other hand, JAN8 CS alone presented new challenges: increased labor and costs for individual guidance. To solve this problem, "Retune Lab" was developed, combining generative AI with customer service data.
Similar to past exam questions, abilities improve by repeatedly practicing "what could not be done." Retune Lab connects "unsuccessful customer interactions" to growth by inputting and analyzing information about them. In addition to individual user data, input information from all users is accumulated in the database, creating a mechanism for continuous enhancement of expertise in the customer service and sales domain. Unlike a general LLM, it is a customer service-specific AI that reflects approximately 2 years and 8 months of proprietary customer service data and the analysis knowledge of development staff.
Future Development
Toward external sales starting in the fall of 2026, proposals to existing JAN8 CS clients will commence. Cross-industry expansion in the retail sector and official publication to app stores are also planned sequentially, with the goal of exceeding 1,000 contracts by 2028. The company aims to spread a mechanism that supports growth by staying close to sales professionals, allowing them to "confidently take on challenges because Retune Lab is there."
* Phase 1 (Spring 2026): In-house PoC and official release
* Phase 2 (Fall 2026): Commencement of external sales to clients
* Phase 3 (2027): Cross-industry expansion (cosmetics, food & beverage, real estate, inbound, etc.)
* Phase 4 (2028): Aim to exceed 1,000 contracts
【Target Market】
Fashion Industry: Apparel Mass Retailers
The coaching philosophy of Retune Lab is centered around empowering sales associates to provide customer service in their own unique way. By integrating proprietary customer service data with generative AI, the platform implements a "growth cycle mechanism" for sales associates.
Service Overview
Retune Lab is a customer service AI coaching platform that completes the "Record → Analyze → Coach" process in three steps.
■ Three Main Functions
* Retune Coach: A coaching function where users adjust their growth for improved sales performance through dialogue with an AI coach.
* Input: Record customer service information in a 60-second, multiple-choice form during spare moments. A key feature is the ability to input information about "unpurchased" interactions.
* Share Lab: A chatroom where colleagues in similar situations and categories can freely discuss sales growth.
■ Reasons for Focusing on "Unpurchased" Records
Just as in tests and learning, abilities improve by repeatedly reviewing and practicing areas where mistakes were made. In sales and customer service, the content of work is often not easily reflected in numbers, making reflection a neglected aspect. Retune Lab connects "unsuccessful customer interactions" to growth by recording and analyzing them.
■ AI that Grows for Both Individuals and Teams
In addition to learning individual user data, input information from all users is accumulated in the database, continuously enhancing expertise in the customer service and sales domain. Furthermore, it is designed as a "customer service specialized" AI, incorporating approximately 2 years and 8 months of proprietary customer service data and analysis knowledge from development staff, rather than a general-purpose LLM.
■ Coach Selection System
Users can select a coach that suits them from 5 personalities (strict, gentle, logical, energetic, humorous) x gender x 4 speaking patterns. Matching users with coaches they feel comfortable consulting facilitates deeper dialogue and growth.
Background of Development
In the retail, apparel, and sports industries, the customer service skills of sales associates are a crucial management challenge directly linked to sales. However, traditional training methods often relied on the "intuition" and "experience" of veteran staff, leading to inconsistencies in educational quality and a lack of instructional resources over many years.
Inter-Bell addressed this challenge by first developing "JAN8 CS," a tool to "visualize unsuccessful customer service." This service accumulated customer service logs through 60-second multiple-choice input, identifying the causes of unsold items through data, and has been successfully implemented, primarily in the fashion and sports industries.
As a result of JAN8 CS implementation, one sports brand staff member improved their achievement rate from 62% to 94%. A fashion brand doubled its monthly sales from 1.9 million yen to 3.7 million yen, accumulating evidence of results proven by numbers.
On the other hand, JAN8 CS alone presented new challenges: increased labor and costs for individual guidance. To solve this problem, "Retune Lab" was developed, combining generative AI with customer service data.
Similar to past exam questions, abilities improve by repeatedly practicing "what could not be done." Retune Lab connects "unsuccessful customer interactions" to growth by inputting and analyzing information about them. In addition to individual user data, input information from all users is accumulated in the database, creating a mechanism for continuous enhancement of expertise in the customer service and sales domain. Unlike a general LLM, it is a customer service-specific AI that reflects approximately 2 years and 8 months of proprietary customer service data and the analysis knowledge of development staff.
Future Development
Toward external sales starting in the fall of 2026, proposals to existing JAN8 CS clients will commence. Cross-industry expansion in the retail sector and official publication to app stores are also planned sequentially, with the goal of exceeding 1,000 contracts by 2028. The company aims to spread a mechanism that supports growth by staying close to sales professionals, allowing them to "confidently take on challenges because Retune Lab is there."
* Phase 1 (Spring 2026): In-house PoC and official release
* Phase 2 (Fall 2026): Commencement of external sales to clients
* Phase 3 (2027): Cross-industry expansion (cosmetics, food & beverage, real estate, inbound, etc.)
* Phase 4 (2028): Aim to exceed 1,000 contracts
【Target Market】
Fashion Industry: Apparel Mass Retailers