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Friday, December 8, 2023

Tokyo Metropolitan Government's "DX Promotion Demonstration Experiment Project"】Startups that passed the screening process in the SME DX area were selected.

The Tokyo Metropolitan Government's "DX Promotion Demonstration Experiment Project" effectively supports the demonstration of business models of startups with innovative products and services in the DX field, aiming for social transformation through the spread of DX in a variety of fields. The companies that passed the screening process for the startups that will conduct demonstration experiments under this project have now been selected.

Seeking SMEs for Demonstration Experiment

The company is now seeking a wide range of small and medium-sized companies willing to cooperate in the demonstration experiment for the startups that have been selected for the selection process.
If a startup is selected as a finalist*, it will be able to introduce on a trial basis the latest DX products and services being developed by the startup through its demonstration experiment.

SMEs wishing to participate should confirm the details of the demonstration experiment for each startup company, read the purpose and objectives of the application, benefits of participation, eligibility requirements, etc. listed at the URL below, and apply using the application form for details.


(*) Flow of this project after application screening
Before the final selection, which is scheduled for late September of this year, matching will be made between the startups that pass the document screening and the SMEs that will be the demonstration sites. The startups will hear from the SMEs about their challenges, confirm how to proceed with the demonstration experiment, and flesh out their demonstration experiment plans. The details of this process will be an important selection item for the final selection.
The Management Office will also provide support to SMEs as appropriate.

Companies that passed the document screening (in alphabetical order)

Asiot Corporation
Demonstration experiment overview: A prototype is set up in an environment with various instruments installed in an actual factory, and the instrument's pointer values are automatically read remotely, uploaded to a cloud server, and the meter readings can be viewed using a web service.
Potential demonstration sites: Manufacturing companies with their own factories

and.d Inc.
Demonstration experiment overview: A centralized management system for each delivery application/website, delivery operations, and a mechanism for sharing delivery vehicles among restaurants will be established.
Potential demonstration sites: Restaurants

CUICIN Corporation
Demonstration experiment overview: Utilizing the smart check-in function of the HotelStyle OS "aiPass" for lodging facilities, the system will provide a one-stop service from advance check-in at the time of reservation to hotel and sightseeing information and check-out using a traveler's smartphone, thereby improving the efficiency of reception operations and avoiding three-density. In addition, the addition of plug-in functions will improve operations and customer experience, enabling DX for lodging facilities.
Potential demonstration sites: Accommodation facilities

Class Fox, Inc.
Demonstration Experiment Summary: Promotion of DX in store operations using AI technology and a table/mobile order management system developed by LowCode in conjunction with IoT devices and equipment. Collect, analyze, and visualize in-store offline data, order data, and online data such as SNS, etc., for use in advanced in-store operations at After Corona.
Potential demonstration sites: Restaurants

Core Force Inc.
Outline of the demonstration experiment: CRM order is introduced to the store industry, and the aim is to increase the number of orders per customer and sales by promoting contactless ordering through smartphone ordering at After Corona and increasing the number of orders placed by visitors to the store through the real CRM pop-up function.
Anticipated demonstration sites: Businesses with restaurants and other stores

STANDAGE Corporation
Outline of the experiment: A system that matches food ingredient manufacturers who wish to sell their food ingredients with food product manufacturers who wish to purchase the ingredients for commercialization. The system will reduce unused and discarded food ingredients (food loss), and at the same time, establish a system that enables food manufacturers to procure cheaper ingredients.
Assumed demonstration site: Food raw material distributor

Spice Code Co.
Demonstration Experiment Summary: By utilizing the company's platform "Localme Order" as the basis for communication between "restaurants" and "central kitchens/food factories," the company will use artificial intelligence (AI) and natural language processing (NLP) technology to automatically provide highly accurate price quotations based on recipe information.
Potential demonstration sites: Restaurants

Dental Pee Inc.
Outline of the demonstration experiment: In the dental visits that are conducted on a personal basis, the company's product "Dye-out Light" is used to visualize the inside of the mouth, and oral care is standardized on Youtube, etc. according to the visualized condition, thereby raising the level of oral care.
Potential demonstration sites: Nursing homes

BizSuite Corporation
Outline of the demonstration experiment: We will verify the efficiency of accounting operations by generating journal entries for monthly and payment data at our consulting clients and other small and medium-sized enterprises, and by using the "BizSuite Accounting" online software that automates checks for "bill collection and posting omissions," "billing errors," "journal entry errors," and other errors. The project will verify the efficiency of accounting operations.
Intended demonstration sites: Businesses that need to improve the efficiency of accounting operations.

Lakmie Corporation
Outline of the experiment: Through this experiment, business processes (exchange of order and shipment data) between the ordering side (suppliers) and the ordering side (restaurants), as well as purchase cost and profit management at the ordering side (restaurants), will be upgraded.
Assumed demonstration sites: Restaurants, food wholesalers

Lilipia Corporation
Outline of the experiment: By utilizing the "Lilipia" image recognition-based information media application for store listing pamphlets and product introduction cards (also used for product packaging) distributed in stores, product introduction and purchases on the EC site will be promoted.
Potential demonstration sites: Retailers with stores

Restyl Corporation
Outline of the experiment: An EC platform "Posket" will be provided to customers (business and consumer side) of partner companies and organizations, who will actually use the service to send advertisements, place orders, settle payments, and exchange goods to verify the activation of communication centered on business transactions within the community.
Potential demonstration sites: Retail and service businesses based in the local trade area

Upcoming Schedule

▽ ▽ (used to indicate an incorrect answer, e.g. "yes", "no")August-September [Plan elaboration].
Support for the realization of plans for model projects that have passed the document screening/ For companies that do not have a confirmed SME as a demonstration site at the time of document screening, the Project Office and JLSC will support matching with SMEs.

▽ ▽ (used to indicate an incorrect answer, e.g. "yes", "no")Late September 【Online Screening Committee】.
Review by external judges and determination of selected companies

▽ ▽ (used to indicate an incorrect answer, e.g. "yes", "no")November-February [Implementation of demonstration experiment and verification of results].
After adoption, the demonstration experiment will begin as soon as preparations for the experiment are ready.

▽ ▽ (used to indicate an incorrect answer, e.g. "yes", "no")March [Final results briefing].
Present the results of the demonstration experiment and provide matching opportunities for social implementation after the experiment

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