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Revolutionizing Retail Ordering Systems: DataCom's Innovations at RetailTech Japan 2026

DataCom, based in Sendai, Japan, is preparing to unveil its cutting-edge solutions at the upcoming "RetailTech Japan 2026" event on March 3-6, 2026, at Tokyo Big Sight. The company focuses on retail data analytics and customer insights, developing technologies that specifically target issues faced by the retail industry. Notably, the company aims to tackle the problem of "black box" AI models in automatic ordering systems, ensuring practicality and transparency at the point of sale.

The Challenge in the Retail Industry

The retail sector is currently grappling with severe labor shortages, making the automation of ordering processes a necessity rather than an option. Inadequate stock management has led to significant issues such as stockouts—resulting in lost sales opportunities—and excessive inventory, which contributes to waste and reduced profitability. Despite the implementation of automatic ordering systems, retailers are still facing challenges in evaluating the accuracy of AI-driven order predictions. Key concerns include a lack of clarity regarding whether sales align with AI forecasts and the potential for excessive inventory due to inaccurate predictions.

DataCom's Innovative Approach

DataCom is addressing these challenges by integrating automatic ordering systems with inventory data, thus allowing businesses to visualize AI judgments transparently. The solution aims to create an objective cycle of accuracy verification and execution, counteracting the mistrust associated with current AI-driven models.

The key theme of DataCom's exhibition is to showcase its automated ordering system that utilizes historical sales data together with high-precision demand forecasting AI. It is focused on optimal order quantity generation through a structured diagnostic and execution cycle.

How It Works

1. Comprehensive Data Integration: The system analyzes diverse data points—including historical sales, weather conditions, day-of-week variations, and current trends—using AI to calculate optimal order quantities automatically. By bypassing the old manual coefficient adjustments, DataCom's solution aims to minimize both stockouts and excess inventory effectively.
2. Enhanced Visibility and Verification: It's not enough to execute automated orders; verification is equally crucial. The solution facilitates comparison between predicted order numbers and actual sales performance, allowing retailers to assess the rationale behind specific order quantities and the validity of forecasts intuitively. This integrated approach encourages ongoing improvement and trust in system operations.

Expected Benefits of the Solution

• - Prevention of Overordering: By analyzing predictive sales data against actual performance, the solution can identify and mitigate risks of overordering, effectively reducing waste and increasing profitability.
• - Continuous Improvement of Automated Ordering: Through data-driven validation processes, the quality of automatic ordering increases over time, contributing to improved gross profits and financial health.
• - Standardization of Operations: The system significantly reduces the psychological burden on employees, allowing for standard practices in ordering, regardless of individual experience levels. This empowers staff to focus on higher-value activities, such as customer service and store presentation.
• - Rapid Implementation with Minimal Development: By leveraging DataCom's existing product analysis system, "d3," as a data integration hub, businesses can consolidate their existing systems' data efficiently, ensuring a quick implementation process without extensive development costs.

Event Details

RetailTech Japan 2026

• - Event Name: The 42nd Retail Technology Japan Exhibition
• - Dates: March 3-6, 2026
• - Location: Tokyo Big Sight, Koto City, Tokyo
• - Hours: 10 AM – 5 PM (until 4:30 PM on the final day)
• - Exhibition Zone: Total Information Distribution System
• - Booth Number: RT5205
• - Official URL: RetailTech Japan

Attendance requires pre-registration through the official event website, and existing users of DataCom’s systems are encouraged to notify their representatives for seamless entry.

About DataCom

Founded in 1994, DataCom has supported multi-store enterprises for over 30 years, transforming accumulated data into reliable management strategies. With a focus on practical and diverse solutions tailored to the retail sector, DataCom is committed to enriching organizational growth through effective data utilization. For more information, visit their corporate site at DataCom.

With the advent of RetailTech Japan 2026, DataCom aims to lead the way in addressing the pressing challenges the retail industry faces while showcasing the incredible potential of AI-driven advancements in technology.