#Japan #Shibuya #DATAFLUCT #Airlake AI models #ホッカホッカ亭

Elevating New Store Openings with AI

In the competitive landscape of retail, accurately predicting revenue for new store openings is crucial. DATAFLUCT, based in Shibuya, Tokyo, is at the forefront of this endeavor, collaborating with Hokkahokkatei Head Office from Osaka. Utilizing their proprietary AI tool, the "Airlake AI models," DATAFLUCT is providing advanced revenue forecasting capabilities to help businesses optimize their store development strategies.

With the upcoming seminar scheduled for March 26, 2026, the focus will be on sharing practical knowledge and case studies on how AI technology can elevate the precision of revenue predictions.

Key Challenges in Revenue Forecasting

the revenue prediction for new store openings is not straightforward. Factors such as location, market dynamics, and competition add layers of complexity to accurately assessing a store's potential. If projections fall short after the store opens, the company may face significant impacts from fixed costs like rent and salaries, as well as potential losses from increased promotional efforts or even decisions to close. Thus, ensuring a higher level of predictive accuracy during the evaluation phase is essential for effective decision-making.

During the prior part of the seminar, DATAFLUCT will dissect the fundamentals of AI in revenue forecasting, including how to construct effective predictive models and the necessary data for optimizing AI predictions. The focus will also touch on key points for achieving high precision in these forecasts.

A Practical Discussion on AI Implementation

The latter part of the seminar will feature a panel discussion with executives from Hokkahokkatei, sharing insights on their practical experiences with AI revenue forecasting. This discussion will delve into their motivations for adopting AI, the execution steps of the project, internal team coordination, and strategies for ensuring the successful integration of this technology within their operations.

Seminar attendees will gain firsthand insights into how to effectively implement AI solutions, from the planning stages through to achieving measurable outcomes and embedding these practices into daily workflows.

Who Should Attend?

This seminar is tailored for:

• - Businesses seeking to improve their store development processes and revenue forecasting.
• - Executive and planning teams in retail wanting to leverage cutting-edge technologies to enhance their decision-making accuracy.
• - Departments focused on streamlining operations and reducing dependency on subjective assessments.
• - Individuals from digital transformation teams keen on understanding practical AI deployment cases.
• - IT departments eager to develop AI-driven analytical frameworks using their existing data assets.
• - Anyone facing internal coordination challenges in AI implementation.

Seminar Overview

The seminar will run from 11:00 AM to 12:00 PM on March 26, with a recording available on March 31. Participation is free but requires prior registration. Attendees will receive links to the seminar via their registered email addresses after signing up.

About DATAFLUCT

DATAFLUCT envisions transforming data into valuable assets, addressing social challenges by leveraging previously untapped information. Their strength lies in the capability to process multi-modal data, allowing for comprehensive data collection, analysis, and application. This integrated approach supports various initiatives, such as loss reduction through demand forecasting and enabling sustainable urban planning—part of their commitment to investing in future-oriented societal needs.

For further details about their services, you can visit their official website DATAFLUCT. The company operates under the principle that anyone should effectively utilize data for sustainable decision-making, and they strive to empower businesses through innovative solutions that transcend conventional methodologies.

For media inquiries or more information about the seminar, please contact [email protected].