Completing '10 Handy Terminals in 1 Day': OM Network Reduces Kitting Man-hours by 50% Using Generative AI
OM Network successfully completed the kitting of 10 handheld terminals in one day to meet an urgent request from a food logistics client. By combining in-house procedural manuals with generative AI, they achieved high-quality, rapid execution even with inexperienced staff, reducing man-hours by 50%.
📋 Article Processing Timeline
- 📰 Published: May 22, 2026 at 18:52
- 🔍 Collected: May 22, 2026 at 10:31
- 🤖 AI Analyzed: May 22, 2026 at 10:40 (8 min after Collected)
OM Network Co., Ltd. (Headquarters: Chuo-ku, Niigata City, Niigata Prefecture; Representative Director: Shinya Yamagishi) completed the setup of 10 handheld terminals in a single day in late March 2025, responding to an urgent increase request from a client in the food logistics industry.
In this project, the company utilized detailed in-house procedural manuals and generative AI to enable high-quality and fast execution, even with a team including staff with limited experience in handheld terminal tasks. This led to rapid on-site support that ensured customer operations continued without interruption.
■ Facing the '10 Terminals in 1 Day' Challenge
To ensure customer operations were not halted for even a single day, completion within 24 hours was mandatory. The company decided to immediately deploy resources to meet this tight deadline.
■ The Seriousness of the Problem: Hidden Costs in Kitting
While PC/terminal setup appears to be routine work, 'delays in judgment' when tasks deviate from manuals significantly increase costs.
1. Tight Deadline and Schedule Pressure
With 10 terminals to deploy in one day, there was no room for error or time delays.
2. Maintaining Concentration during Parallel Kitting
Working on multiple units simultaneously creates high pressure, as no mistakes are permitted.
3. 'Automated Checklist Generation' via Generative AI
The team included staff who had never touched a handheld terminal before. By inputting manual data into generative AI, they automatically generated a 'beginner-friendly setup checklist.' This allowed the staff to complete the work without errors.
4. 50% Reduction in Man-hours
A process that would typically take two veteran engineers one day (2 person-days) was completed in just one person-day.
■ Future Outlook
The company plans to challenge itself with further automation and efficiency improvements in kitting tasks using 'AI Agents.' By enabling AI to autonomously monitor procedures and detect errors, they aim to further boost productivity.
In this project, the company utilized detailed in-house procedural manuals and generative AI to enable high-quality and fast execution, even with a team including staff with limited experience in handheld terminal tasks. This led to rapid on-site support that ensured customer operations continued without interruption.
■ Facing the '10 Terminals in 1 Day' Challenge
To ensure customer operations were not halted for even a single day, completion within 24 hours was mandatory. The company decided to immediately deploy resources to meet this tight deadline.
■ The Seriousness of the Problem: Hidden Costs in Kitting
While PC/terminal setup appears to be routine work, 'delays in judgment' when tasks deviate from manuals significantly increase costs.
1. Tight Deadline and Schedule Pressure
With 10 terminals to deploy in one day, there was no room for error or time delays.
2. Maintaining Concentration during Parallel Kitting
Working on multiple units simultaneously creates high pressure, as no mistakes are permitted.
3. 'Automated Checklist Generation' via Generative AI
The team included staff who had never touched a handheld terminal before. By inputting manual data into generative AI, they automatically generated a 'beginner-friendly setup checklist.' This allowed the staff to complete the work without errors.
4. 50% Reduction in Man-hours
A process that would typically take two veteran engineers one day (2 person-days) was completed in just one person-day.
■ Future Outlook
The company plans to challenge itself with further automation and efficiency improvements in kitting tasks using 'AI Agents.' By enabling AI to autonomously monitor procedures and detect errors, they aim to further boost productivity.
FAQ
オーエムネットワーク株式会社が実施したキッティング案件とは何ですか？
食品物流業界の顧客向けに、急遽必要となったハンディ端末10台のセットアップ（実戦配備）作業を1日で行った案件です。
作業効率化のために導入された技術は何ですか？
既存の手順書（マニュアル）のテキストデータを生成AIに入力し、初心者向けの設定チェックリストを自動生成して活用しました。
作業期間と工数はどの程度短縮されましたか？
本来2人日かかる高負荷なキッティング工程を、わずか1人日で完結させ、工数を50%削減しました。
未経験のスタッフでも作業できた理由は？
組織として蓄積された精緻な手順書と、AIが作成したチェックリストに従うことで、作業ミスを防ぎ効率的な進行が可能になったためです。
今後の展望について教えてください。
AIエージェントを活用し、キッティング作業の自動化・効率化への挑戦を計画しています。