90% Reduction in Label Creation Labor: Construction Material Manufacturer Rikiman Realizes Business Reform with 'Leach Generative AI Advisor'

Rikiman Co., Ltd., which holds a 90% market share in Tokyo for large-scale construction site hardware, adopted 'Leach Generative AI Advisor' and achieved a 90% reduction in label creation tasks within 8 months. They are also optimizing IT costs and digitizing manual workflows.
その他NQ 45/100出典:PR Times

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  • 📰 Published: April 28, 2026 at 00:20
  • 🔍 Collected: April 27, 2026 at 16:01
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Rikiman Co., Ltd. boasts about a 90% share in the Tokyo market for large-scale construction sites. In July 2025, they introduced the 'Leach Generative AI Advisor' and have achieved results including a 90% reduction in label creation labor in about eight months. We interviewed Mr. Takehito Isoda, Tokyo Branch Manager, and Mr. Motoki Nishikawa of the Solution Office about the background of the introduction, current results, and future prospects.

Summary of Achievements (approx. 8 months):
- 90% reduction in label creation labor
- 17+ internal AI users
- 100,000 yen reduction in IT procurement costs

Goals (Ongoing):
- 50-60% reduction in inspection sheet labor
- 50% reduction in labor from inspection sheet to slip to invoice

Company Profile:
Name: Rikiman Co., Ltd.
Location: 1150-5 Ueki, Sue-machi, Kasuya-gun, Fukuoka
Established: January 7, 1977
Representative: Gen Otsuji
Business: Development, manufacture, and sale of construction hardware 'Rikiman Hardware'; leasing, rental, and sale of heavy temporary materials and environmental products.
Employees: 70

1. What is Rikiman Hardware? Support for Landmark Infrastructure
Rikiman develops and sells 'Rikiman Hardware,' used for setting up temporary work platforms at construction sites. Compared to welding or bolting, the installation and dismantling speed is 30-50% faster. Their products have been used in major landmarks such as Roppongi Hills and Azabudai Hills. In the Tokyo market for large-scale buildings, they hold a 90% share.

2. Challenges Before Introduction: Limits of Manual Work
The interest in generative AI started from a book review video on YouTube. Mr. Nishikawa felt that tasks that don't need to be done by humans should be left to AI so that people can focus on creativity. Before the introduction, they had three major challenges:
(1) Handwritten inspection sheets (10 cases per day in Tokyo alone, including photo selection),
(2) Difficulty in judging IT procurement costs (lack of criteria for vendor quotes),
(3) Communication issues in core system customization.

3. Why Leach was chosen
After comparing multiple services, they chose Leach for its ease of application to business and its field-oriented support.