Announcement of Presentation at 'Net Shop Tantosha Forum 2026 Spring'
ROMS Inc. will present at the 'Net Shop Tantosha Forum 2026 Spring' lunch session, hosted by Impress, to discuss 'Packaging DX' using AI.
📋 Article Processing Timeline
- 📰 Published: May 19, 2026 at 20:00
- 🔍 Collected: May 19, 2026 at 11:31
- 🤖 AI Analyzed: May 21, 2026 at 15:01 (51h 29m after Collected)
ROMS Inc., a provider of automation solutions for logistics warehouses and factories, announces its presentation at the lunch session of 'Net Shop Tantosha Forum 2026 Spring Tokyo', hosted by Impress, in May 2026.
Controlling shipping costs, which account for approximately 60% of logistics expenses, is a major challenge for e-commerce operators due to recent cost surges. This session focuses on the digitalization of packaging operations and explores AI applications. Through case studies of 'Packing Assist AI', available from 5 yen per order, we propose sustainable logistics quality without large-scale investments.
■ Session Overview
- Session Number: A-3 Lunch Session
- Title: Maximize Logistics Profits at 5 Yen per Order! Capturing 60% of Logistics Costs with Overlooked 'Packaging DX'
- Date/Time: May 26, 2026 (Tue) 12:30 - 13:10
- Speaker: Shuji Inoue, Business Development Manager, ROMS Inc.
■ About Packing Assist AI
'Packing Assist AI' is a support tool combining 3D packing simulation and AI technology. It requires no pre-registration of product size master data, automatically estimating sizes from JAN codes, etc. This facilitates easy implementation, enabling even new workers to achieve optimal packaging without hesitation. Past implementations have achieved shipping cost reductions of 10 to 30 yen per order.
Controlling shipping costs, which account for approximately 60% of logistics expenses, is a major challenge for e-commerce operators due to recent cost surges. This session focuses on the digitalization of packaging operations and explores AI applications. Through case studies of 'Packing Assist AI', available from 5 yen per order, we propose sustainable logistics quality without large-scale investments.
■ Session Overview
- Session Number: A-3 Lunch Session
- Title: Maximize Logistics Profits at 5 Yen per Order! Capturing 60% of Logistics Costs with Overlooked 'Packaging DX'
- Date/Time: May 26, 2026 (Tue) 12:30 - 13:10
- Speaker: Shuji Inoue, Business Development Manager, ROMS Inc.
■ About Packing Assist AI
'Packing Assist AI' is a support tool combining 3D packing simulation and AI technology. It requires no pre-registration of product size master data, automatically estimating sizes from JAN codes, etc. This facilitates easy implementation, enabling even new workers to achieve optimal packaging without hesitation. Past implementations have achieved shipping cost reductions of 10 to 30 yen per order.
FAQ
Can Packing Assist AI handle new products?
Yes, it estimates sizes automatically via AI based on product name or JAN code, allowing immediate use in environments with frequent product turnover.
Is the adoption hurdle high?
No, it requires no pre-registration of master data and no large hardware investments, making it low-cost and quick to deploy.
What are the main benefits of Packing Assist AI?
Benefits include logistics cost savings of 10 to 30 yen per order, reduced labor for packaging decisions, and stabilized work quality.