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Home » Cross Locations Capital and business alliance with Infonet, which promotes the introduction of AI on corporate websites

Cross Locations Capital and business alliance with Infonet, which promotes the introduction of AI on corporate websites

cross locations
Capital and business alliance with Infonet, which promotes the introduction of AI on corporate websites
~Start of joint research aimed at providing integrated AI utilization for both online and offline corporate activities~
……
Cross Locations Co., Ltd. (Headquarters: Shibuya-ku, Tokyo;
Representative: Director: Kazusuke Obi (hereinafter referred to as Cross Locations) and Infonet Co., Ltd. (Headquarters: Chiyoda-ku, Tokyo, Representative Director and President Executive Officer), which develops websites, CMS (content management system) sites, and AI (artificial intelligence) products. Director: Takuya Kusakabe (hereinafter referred to as Infonet, stock code: 4444) has entered into a capital and business alliance with the aim of jointly researching comprehensive services that promote online and offline corporate activities centered on AI technology. We have concluded a contract.
[Image: https://prtimes.jp/i/37476/116/resize/d37476-116-1d8cb2c7c1c3488fc9cc-0.png&s3=37476-116-aab0e6728078a7cfaa8ad2bb1d58892b-1280×720.png ]
About Cross Locations and Infonet
Through AI analysis of location information big data, Cross Locations supports companies in opening stores and business bases and
effectively utilizing “people flow data” in management and marketing. On the other hand, Infonet builds and operates numerous corporate websites based on its proprietary CMS (Contents Management System) for corporate websites, and in recent years has been actively promoting the introduction of AI technology into online
communications. I am.
How it will be done in the future
Through this partnership, both companies plan to utilize their unique know-how across the board to conduct joint research into integrated services that promote online and offline corporate activities centered on AI technology. Through multiple collaborations, we will strengthen our service capabilities and competitiveness and aim to develop and expand new markets such as stores, distribution, retail, and tourism, as well as improve customer loyalty and create cross-selling opportunities.
One example is the linkage between an ad distribution service that utilizes AI location-based marketing data, infoCMS (a website management tool), and MEGLASSfinder (an access analysis tool) to combine data from potential customers visiting a company’s website and visits to a physical store. We aim to provide services that meet customer needs by comprehensively analyzing data on the flow of people we have collected and maximizing the effectiveness of measures such as store visits and sales promotions. We also plan to work on building various web services and new business models that utilize customer behavior data.
■About Infonet Co., Ltd.
Infonet uses in-house developed CMS and AI (artificial intelligence) related technologies to provide business improvement support/web marketing support services that lead to operational efficiency and future business transformation through website creation. Our in-house professional staff provides comprehensive support for solving customers’ business problems and creating business results, from implementation consulting to design production, system development, and post-installation operational support.
Company name: Infonet Co., Ltd. (Securities code: 4444)
URL: https://www.e-infonet.jp/
Representative: Takuya Kusakabe, Representative Director, President and Executive Officer
Address: Otemachi First Square West Tower 2F, 1-5-1 Otemachi, Chiyoda-ku, Tokyo 100-0004
Established: October 15, 2002 (Heisei 14)
Business content: Website construction, CMS site construction, system development, cloud service, ASP service, advertising design, printing, video production
-Main services-
All-in-one commercial content management system “infoCMS(R)”: https://www.infocms.jp/
Evolving AI chatbot “Q&Ai(R)”: https://www.q-ai.jp/
GoogleAnalytics4 linked website access analysis tool “MEGLASS finder”: https://www.meglassfinder.jp/
“LENSAwriter”, an AI writing service that dramatically accelerates article creation: https://www.lensa-writer.jp/
■About Cross Locations Co., Ltd.
Our mission is to “combine, analyze, and visualize a wide variety of location and spatial information in a meaningful way so that anyone can utilize it.” Development of “Location Engine (TM)”, a unique technology that uses AI to analyze and visualize location information big data, and business utilization cloud-based platform “Location AI Platform (R)”, cloud service “People Flow Analytics (R)”, etc. We are promoting “Location Tech” by developing “Location Marketing Service” that supports companies’ business expansion by utilizing people flow data. Company name: Cross Locations Co., Ltd. URL:
https://www.x-locations.com/ Representative: Representative Director Kazusuke Obi Address: 6F Kobayashi Building, 1-2-9 Ebisu Minami, Shibuya-ku, Tokyo 150-0022 Business details : ・Development of location information big data analysis engine “Location Engine (TM)”, business utilization cloud platform “Location AI Platform (R)”, and cloud service “People Flow Analytics (R)” development and provision. ・Providing “Location Ad 2.0” through the next generation
location-based marketing service “Location Marketing Service.” ■About location information analysis data provided by our company
The data provided by our company is the GPS data of the user’s smartphone application, which is completely anonymized without linking personal information with the user, and only data that has been given permission for use by a third party for the purpose of analysis is used. doing.
(https://www.x-locations.com/privacy-policy/)
By using completely anonymized data, our proprietary analysis engine “Location Engine(TM)” analyzes device ID, latitude and longitude information, and time stamps by directly linking them with map and facility information. It is now possible to provide pinpoint analysis data, which is difficult to do with mesh-type location information data analysis.
More details about this release:
https://prtimes.jp/main/html/rd/p/000000116.000037476.html



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