Webinar Announcement: Introduction to 'D-cast', an Automated Market Information Collection and Demand Forecasting Service for Accommodation Businesses
Dynamic Plus Inc. will hold a three-part webinar series on May 27, June 3, and June 10, 2026, to introduce its new service, 'D-cast', which automates market data collection and demand forecasting for accommodation facilities. The webinars are free of charge and will be conducted online via Microsoft Teams.
📋 Article Processing Timeline
- 📰 Published: May 20, 2026 at 00:00
- 🔍 Collected: May 19, 2026 at 15:32
- 🤖 AI Analyzed: May 20, 2026 at 08:19 (16h 47m after Collected)
Dynamic Plus Inc. will hold three sessions of a webinar introducing 'D-cast,' its recently launched automated market information collection and demand forecasting service for accommodation businesses, on May 27 (Wed), June 3 (Wed), and June 10 (Wed), 2026.
'D-cast' is a service that allows accommodation businesses to collectively check competitive pricing, regional event information, and demand levels necessary for setting room rates. It streamlines daily research tasks and supports the organization of materials needed for pricing decisions.
In this webinar, we will clearly introduce the basic functions and usage scenarios of D-cast in 30 minutes, using actual screen demonstrations. For accommodation businesses that struggle with the time required to check competitor prices, collect event information, and track changes in demand, we will provide tips to improve daily revenue management.
■ Webinar Overview
Title: Introduction to 'D-cast,' an automated market information collection and demand forecasting service for accommodation businesses
Date & Time: May 27 (Wed), June 3 (Wed), June 10 (Wed), 2026, 13:30–14:00
Participation Fee: Free
Format: Online (Microsoft Teams)
Target: Accommodation facility personnel
■ Recommended for those who:
・Spend too much time checking competitor room rates
・Want to streamline the collection of regional event information
・Want to consider sales pricing based on increasing demand
・Want to reconsider pricing decisions that rely on individual experience or intuition
・Want to streamline daily revenue management operations
・Want to move toward systematizing revenue management in the future
'D-cast' is a service that allows accommodation businesses to collectively check competitive pricing, regional event information, and demand levels necessary for setting room rates. It streamlines daily research tasks and supports the organization of materials needed for pricing decisions.
In this webinar, we will clearly introduce the basic functions and usage scenarios of D-cast in 30 minutes, using actual screen demonstrations. For accommodation businesses that struggle with the time required to check competitor prices, collect event information, and track changes in demand, we will provide tips to improve daily revenue management.
■ Webinar Overview
Title: Introduction to 'D-cast,' an automated market information collection and demand forecasting service for accommodation businesses
Date & Time: May 27 (Wed), June 3 (Wed), June 10 (Wed), 2026, 13:30–14:00
Participation Fee: Free
Format: Online (Microsoft Teams)
Target: Accommodation facility personnel
■ Recommended for those who:
・Spend too much time checking competitor room rates
・Want to streamline the collection of regional event information
・Want to consider sales pricing based on increasing demand
・Want to reconsider pricing decisions that rely on individual experience or intuition
・Want to streamline daily revenue management operations
・Want to move toward systematizing revenue management in the future
FAQ
What kind of operations does D-cast streamline?
It automates research tasks previously done manually, such as competitor price tracking, regional event data collection, and understanding demand trends.
What are the benefits of introducing this service?
It streamlines daily revenue operations and enables data-driven pricing, reducing reliance on intuition.
Who is the target for this service?
It is intended for any accommodation facility looking to implement data-driven pricing strategies based on competitor analysis and demand changes.