Logistics Data Analysis Methods, Procedures, and Utilization To Menu_

jp eng tw ___ By Logistics Technology Institute

1. Background of Data Analysis

1-3. When to Conduct Data Analysis


Diagram showing the timing of data analysis along the progress of business negotiations, customers, and content

Difference in Progress Processes Between "Business Negotiations" and "Customers"

A logistics center construction project proceeds as two distinct timelines run in parallel: the receiving side (business negotiation) and the ordering side (customer).

How Project Operation (Progress Content) Intertwines

Connecting the above two axes (negotiations and customers) at an operational level is the "Progress Content (Project Operation)" drawn in the lower right of the diagram. The core anchor here is data analysis.

【Supplementary Explanation】Operational Process Premised on Rework (Loops)
At the bottom of the diagram, it states: "DATA must be reviewed every time the proposal content changes."

In actual project operations, initial proposals rarely pass as-is. Projects invariably hit walls, such as "system reconstructions" due to customer budget overruns or pushbacks during internal approval processes. At such times, instead of simply removing equipment to offer discounts, one must return to "Data Analysis (Preconditions)."

Questions like "If we change this condition, will we be able to handle future peak shipments?" are posed, redefining requirements based on DATA as evidence, and repeating loops (agile-like alignments) to readjust information systems and operational methods. Only when these three wheels (negotiation, customer, and actual data) mesh together is an unwavering "Unified Specification Sheet" completed.