Xbit provides a chatbot service that enables store owners to efficiently collect employee availability and automate shift scheduling. This solution addresses the challenges of manual scheduling processes, reducing administrative workload and improving workforce management.
Funding
$10.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Founders
Product
Problem
Many businesses, particularly in the retail and healthcare sectors, face challenges in efficiently managing employee availability and creating optimal shift schedules. Manual scheduling processes are time-consuming, prone to errors, and often lead to employee dissatisfaction due to scheduling conflicts or inequities.
Solution
Rakushifu (provided by Xbit) is a shift management DX tool that automates the collection of employee availability and optimizes shift scheduling. The platform streamlines workforce management by replacing manual processes with an efficient, data-driven system. By automating scheduling, Rakushifu reduces administrative workload, minimizes scheduling errors, and improves employee satisfaction through fair and transparent shift assignments.
Target Audience
Rakushifu primarily targets businesses in the retail, drug store, and healthcare sectors, including hospitals and clinics, that require efficient and automated shift scheduling for their employees.
Features
- Automated collection of employee availability via chatbot interface
- AI-powered shift scheduling optimization based on employee preferences and business needs
- Real-time schedule updates and notifications for employees
- Integration with payroll systems for accurate time tracking and compensation
- Mobile app for employees to view schedules, request time off, and swap shifts
- Customizable scheduling rules to accommodate specific business requirements and labor laws
- Reporting and analytics dashboard to track labor costs, employee attendance, and scheduling efficiency