What can be done with oplus's AI auto-creation feature?

You can communicate ambiguous conditions using natural language in chat form, such as 'I want to distribute veterans,' and automatically generate shifts.

What information can be obtained from the shift creation results?

It visualizes whether the reason for unmet conditions is a shift combination (puzzle) issue or a staffing (resource) issue, which can be useful for future hiring and training plans.

Is there an additional cost for this AI feature?

Currently, it is in beta version, so existing 'auto-creation option' subscribers and new companies that sign up during the period can use it without additional fees.

What kind of service is oplus?

It is a multi-device compatible shift and attendance management DX service that includes attendance management, paid leave management, and internal communication functions.

Is there a free plan for oplus?

A free plan is available for up to 100 users.

Shift Management DX Service 'oplus' Releases AI-Powered Automated Shift Creation Feature (Beta)

Published May 26, 2026 5:30 PM ・ Updated Jun 14, 2026 8:05 AM ・ 4 min read ・ Source: PR TIMES

Oplus Inc. has launched a beta version of an AI-powered automated shift creation feature for its service 'oplus'. It allows managers to generate shifts using natural language instructions via chat, enabling more intuitive setting of qualitative conditions. The feature also analyzes the root causes of scheduling conflicts, supporting managers in optimizing personnel and training plans. Existing automatic creation option subscribers can use this feature at no extra cost.

Oplus Inc., the provider of the shift management DX service 'oplus', has released an 'AI Automated Creation Feature (Beta)' that utilizes generative AI to allow shift scheduling through natural language instructions.

This feature aims to create time for managers to focus on organization building and service improvement, while evolving oplus into a platform for optimizing personnel planning beyond simple operational efficiency.

Background of Development Traditional automated scheduling systems typically relied on fixed parameters, making it difficult to reflect specific, hard-to-quantify site requirements. The newly released AI feature solves this by leveraging the context-understanding capabilities of generative AI.

Key Features

- Conversational Instructions In addition to traditional condition settings, users can communicate requirements to the AI via chat. Natural language inputs like 'distribute senior staff evenly' or 'prioritize high-skill employees for the event' are processed into the scheduling logic, allowing anyone to perform advanced scheduling regardless of system expertise.

- Optimized Recruitment and Training through Feedback After generating a shift, the AI provides feedback on which conditions were met and why some were theoretically difficult. By identifying whether scheduling failures are due to 'combinatorial issues' or 'lack of resources,' managers can translate findings into concrete actions, such as recruiting early-shift staff or organizing skill-up training.

- Available within Existing Option Fees (Limited Time) As it is a beta release, existing 'Automatic Creation Option' subscribers and new subscribers during the period can utilize this feature without additional cost.

Future Outlook Moving forward, the company intends to enhance the platform to support human capital management by uncovering and resolving organizational issues based on accumulated shift data.

FACT BOX

Source: PR TIMES
Category: New Product
Products / services: oplus

Shift Management DX Service 'oplus' Releases AI-Powered Automated Shift Creation Feature (Beta)

⚡ Key Points

Background of Development Traditional automated scheduling systems typically relied on fixed parameters, making it difficult to reflect specific, hard-to-quantify site requirements. The newly released AI feature solves this by leveraging the context-understanding capabilities of generative AI.

Key Features

Future Outlook Moving forward, the company intends to enhance the platform to support human capital management by uncovering and resolving organizational issues based on accumulated shift data.

FACT BOX

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