ROMS Inc. (Headquarters: Shinagawa-ku, Tokyo; CEO: Yosuke Maeno), a provider of automation solutions for logistics warehouses and factories, is pleased to announce that its packing optimization service, 'Packing Assist AI,' has launched an API integration with the EC automated shipping system 'LOGILESS,' provided by LOGILESS, Inc. (Headquarters: Shinagawa-ku, Tokyo; CEO: Toshiyuki Tanaka).
Background: April 2026 Legal Revisions and the Role of 3PLs With the 'Revised Act on Advancement of Logistics and Broadcasting' and the 'Revised Motor Truck Transportation Business Act' taking effect in April 2026, shipper companies and logistics operators are legally mandated to improve loading efficiency and reduce waiting times.
Previously, optimizing packing sizes relied heavily on the experience of on-site staff, leading to inefficiencies. To solve this, 'Packing Assist AI' has achieved its first standard API integration with 'LOGILESS,' a leading EC shipping platform. This allows 3PL providers to propose concrete transport efficiency plans to shippers without disrupting existing operations.
Integration Overview Users of 'LOGILESS' can now automatically execute optimal packing simulations through the following flow: 1. Automatic synchronization of product master data (dimensions and weight). 2. Real-time integration of shipping information to calculate 'which materials to use and how to pack' for all orders.
Free Seminar: Preparing for the April Legal Revisions We are hosting a seminar to share operational insights and proposal methods for 3PL providers. - Date: April 23, 2026 (Thu), 14:00-15:00 - Format: Online (Zoom Webinar) - Content: API integration details and strategies for 'packing size optimization' to win shipper trust.
About Packing Assist AI 'Packing Assist AI' combines 3D packing simulation with AI to eliminate 'box selection hesitation.' It automatically estimates sizes from product names or JAN codes, requiring no pre-registration of master data. It provides visual 3D instructions on how to pack items, enabling even new staff to maintain high standards. Previous implementations have reduced shipping costs by 10-30 yen per order.
FACT BOX
- Source: PR TIMES
- Category: News