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Ichigo (2337) · InitiativeRestated

Collaboration on AI Systems for Hotels

First written in FY2018. 10 of 15 entries say "Restated". Latest entry: FY2024-Q2.

15entries
6years
0from disclosures
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How it moved
ProgressHeldSoftenedWorseRestatedFY2018 – FY2020-Q2AdvancedFY2020-Q3 – FY2021-Q1RestatedFY2021-Q2RestatedFY2023-Q1 – FY2024-Q22018: 320182019: 220192020: 320202021: 220212022: 320222023: 22023
Same theme, other companies
Improving Existing Hotel Profitability Through AI and SystemsA theme 3 companies write about · 0 as a headwind · 3 as a tailwind

0 other companies' latest entry also says "Restated".

Ridges = years it wrote progress, valleys = years it wrote worse. Most hopeful companies at the back. Drag to turn, scroll to zoom, right-drag to pan. On a phone, two fingers turn and pinch to zoom; one finger scrolls the page.
Full recordFilings, disclosures and news, newest first
  1. FY2024-Q2RestatedAnnual report

    「Through the implementation of PROPERA, we are pursuing earnings maximization through automatic setting of optimal room rates and greater operational efficiency, and have established a structure capable of adequately responding to future increases in demand.」

    The company continues to respond to rising demand through PROPERA automated pricing, revenue maximization and improved operating efficiency.
  2. FY2024-Q1RestatedAnnual report

    「Through the implementation of PROPERA, we are pursuing earnings maximization through automatic setting of optimal room rates and greater operational efficiency, and have established a structure capable of adequately responding to future increases in demand.」

    The company continues to promote automatic pricing, earnings maximization and operational efficiency through PROPERA, and explains that it has a structure capable of responding to increased demand.
  3. FY2023-Q1RestatedAnnual report

    「PROPERA combines consulting and operational support with algorithms and AI to maximize the inherent potential of accommodation facilities. It analyzes multiple factors in historical data based on current statistical processes and uses highly predictive machine learning to respond flexibly to changing conditions through optimal methods, including demand forecasting, based on 365 days of historical data, and proposes the best pricing for accommodation facilities.」

    The company continues to explain PROPERA's mechanism for pricing accommodation facilities using consulting and operational support, algorithms and AI, historical data and machine learning.
  4. FY2022AdvancedAnnual report

    「For PROPERA, we have been conducting full-scale promotion for external sales since the current fiscal year, and in the fourth quarter signed an implementation agreement with a company operating business hotels nationwide. The scope includes its current 44 hotels and all hotels that the company begins operating by the end of December 2024.」

    For PROPERA, the company began promoting external sales and signed an implementation agreement with a company operating business hotels nationwide. The scope covers its current 44 hotels and all hotels it opens by the end of December 2024.
  5. FY2022-Q3RestatedAnnual report

    「For PROPERA, we have begun full-scale promotion for external sales, with our primary customer target being the 20,000 accommodation facilities that use site controllers to centrally manage multiple external booking sites, and we are focusing on expanding adoption.」

    The company continues to promote external sales of PROPERA and expand adoption, targeting 20,000 accommodation facilities as customers.
  6. FY2022-Q2RestatedAnnual report

    「For PROPERA, we have begun full-scale promotion for external sales. Our primary customer target is the 20,000 accommodation facilities that use site controllers, which centrally manage multiple external booking sites, and we will focus on expanding adoption.」

    The company continues to promote external sales of PROPERA and expand adoption, targeting 20,000 accommodation facilities as customers.
  7. FY2022-Q1AdvancedAnnual report

    「For PROPERA, we have begun full-scale promotion for external sales. Our primary customer target is the 20,000 accommodation facilities that use site controllers, which centrally manage multiple external booking sites, and we will focus on expanding adoption.」

    For the AI revenue management system PROPERA, the company began promoting external sales and stated its policy of expanding adoption among the 20,000 accommodation facilities that use site controllers.
  8. FY2021-Q2RestatedAnnual report

    「PROPERA combines consulting and operational support with algorithms and AI to maximize the inherent potential of accommodation facilities. It analyzes multiple factors in historical data based on current statistical processes and uses highly predictive machine learning to respond flexibly to changing conditions through optimal methods, including demand forecasting, based on 365 days of historical data, and proposes the best pricing for accommodation facilities.」

    The company continues to explain the mechanism of the AI revenue management system PROPERA, which combines consulting and operational support, algorithms and AI, 365 days of historical data and machine-learning-based pricing.
  9. FY2021-Q1AdvancedAnnual report

    「As a result, we have increased annual hotel earnings by approximately 10–40% and will provide the system to more accommodation facilities in the future.」

    For the AI revenue management system PROPERA, the company reported a track record of increasing annual hotel earnings by approximately 10–40% and stated its policy of expanding its customer base.
  10. FY2020-Q3AdvancedAnnual report

    「During the third quarter, our AI revenue management system PROPERA began operating after we decided to integrate it with a reservation management service for accommodation facilities provided by another company.」

    For the hotel AI system PROPERA, the company decided to integrate it with another company's reservation management service for accommodation facilities and began operations. It states that the system has increased annual hotel earnings by approximately 10–40% and that it aims to provide the system to more accommodation facilities in the future.
  11. FY2020-Q2RestatedAnnual report

    「To maximize hotel earnings by aggregating information collected through IoT (Internet of Things) as Big Data (Cloud) and using AI to analyze the accumulated Big Data, we will systematize the revenue management expertise we have developed to date.」

    The company continues R&D aimed at improving hotel value and earnings through the systematization of IoT, Big Data, AI and revenue management.
  12. FY2019-Q3RestatedAnnual report

    「To maximize hotel earnings by aggregating information collected through IoT (Internet of Things) as Big Data (Cloud) and using AI to analyze the accumulated Big Data, we will systematize the revenue management expertise we have developed to date.」

    The company continues to pursue a concept for improving hotel customer satisfaction and earnings by systematizing IoT, Big Data, AI and revenue management.
  13. FY2019-Q2RestatedAnnual report

    「We are proceeding with the development and implementation of AI systems to improve hotel customer satisfaction and maximize hotel earnings.」

    The company continues to develop and implement AI systems aimed at improving hotel customer satisfaction and maximizing hotel earnings.
  14. FY2019-Q1RestatedAnnual report

    「We are proceeding with the development and implementation of AI systems to improve hotel customer satisfaction and maximize hotel earnings.」

    The company continues to develop and implement AI systems aimed at improving hotel customer satisfaction and maximizing earnings.
  15. FY2018First statedAnnual report

    「We began collaborating on an AI system with 株式会社富士通九州システムズ, a member of the Fujitsu Group, which is a major provider of hotel systems and has AI and IoT (Internet of Things) technologies with strong affinity to real estate. To enhance hotel value, we will develop and implement IT solutions through this AI system to improve hotel customer satisfaction and maximize hotel earnings.」

    The company began collaborating with 株式会社富士通九州システムズ on an AI system and stated for the first time its policy of developing and implementing IT solutions to improve hotel customer satisfaction and maximize hotel earnings.
Moved together

"Business Model Combining Rental Income During the Holding Period with Gains on Sale After Enhancing Asset Values" moved the same way as this thread, in the same document, in 4 of its 15 moves.

443332★123456
  1. ★This thread
  2. 1Business Model Combining Rental Income During the Holding Period with Gains on Sale After Enhancing Asset Values4×
  3. 2Advancing the Clean Energy Business, Including Solar Power Generation4×
  4. 3Recovery of Funds and Realization of Gains Through Asset Sales3×
  5. 4Flexible Capital Policy Through Share Repurchases3×
  6. 5Expanding Growth Investment Through REIT Bridge and Value-Enhancement Projects3×
  7. 6Entry into the hotel operations business through the establishment of 「博多ホテルズ」2×

★ is this thread; numbers match the list above. The number on a line is how many documents both moved the same way in; lines between the other threads count the documents they moved together in too. Threads that move together often sit closer.

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Collaboration on AI Systems for Hotels | Ichigo Inc. (2337) | Komori