ANA x Dataiku x Seino Information Service Discuss: Practical Case Studies on Connecting Logistics Site Data to Management Decisions

Seino Information Service Co., Ltd. hosted a seminar themed "Logistics Data Utilization in the AI Era," featuring speakers from Dataiku Japan, Inc. and All Nippon Airways Co., Ltd. (ANA).

While vast amounts of data are accumulated daily at logistics sites, few companies are successfully leveraging that data for management decision-making. This seminar explained approaches to data utilization in the AI era and initiatives companies are taking to realize data-driven management, supplemented by specific case studies.

Initiatives to Enhance Management Decisions Through Data Utilization

Dataiku Japan, Inc. introduced case studies where data scattered across logistics areas—such as demand forecasting, inventory placement, and transport planning—was integrated to improve the quality and speed of decision-making. They provided specific examples of initiatives that went beyond site-level improvements to utilize logistics data as a management metric, thereby achieving transparency in cost structures and more sophisticated decision-making.

Next, All Nippon Airways Co., Ltd. (ANA) spoke about methods for rooting data utilization within large-scale organizations, key points for talent development, and the challenges they faced. Their insights into the universal essentials of data utilization across industries and the practical wisdom for promoting DX across organizational boundaries provided valuable content for the attendees.

Finally, Seino Information Service demonstrated their concept of information-driven logistics, which visualizes management risks lurking in inventory, shipments, and site workload through numerical data, allowing for proactive action. They explained specific methods for using analyzed logistics site data to directly impact management decisions, such as demand forecasting and inventory optimization, rather than just improving operational efficiency.

Thinking About Data Utilization in the AI Era

In the second half of the panel discussion, a wide-ranging debate was held on the effectiveness measurement of AI utilization and approaches to ROI. Opinions were expressed that not only simple cost reductions or sales increases, but also indirect outcomes such as improved customer experience and higher employee productivity should be highly valued. Furthermore, discussions proceeded with specific examples regarding challenges such as how to balance short-term results with long-term growth and how to bridge the gap between site-level data and management decision-making.

On-Demand Seminar Recording Now Available

An on-demand version of this seminar is currently available for viewing.

If you are interested in data utilization in the AI era or the possibilities of logistics data, please take this opportunity to watch it.