HANSSAK said on the 17th that it completed the Army Logistics Command's logistics support requirement estimation artificial intelligence (AI) model and, based on it, successfully finished developing an "AI requirement estimation solution."
This outcome is meaningful in that it applied AI to logistics operations to improve efficiency and the reliability of decision-making. HANSSAK said it was recognized for the build-out and received a commendation from the Army Logistics Command commander, adding that, in line with the Ministry of National Defense AX policy, expansion to the Navy and Air Force is also anticipated.
The project was pursued to apply AI to the Army's logistics support system to boost work efficiency and strengthen the reliability of decision-making. In particular, it focused on reducing the logistics workload at the battalion level and simultaneously improving estimation accuracy and processing efficiency by replacing periodic repetitive tasks with AI.
The HANSSAK AI Convergence Research Center analyzed logistics data accumulated in the Army's military information system to implement a requirement-forecasting AI model and commercialized it as a solution aligned with the logistics support workflow. A key feature is that the forecast results are not just reference material but are systematized so they can be used immediately in operations.
The solution provides: ▲ logistics data collection, reconciliation, and quality management ▲ forecasts based on learning of requirement patterns by item, time, and operating conditions ▲ verification and comparative checks of the basis for forecast results ▲ data visualization and real-time information ▲ requirement analysis and reporting support by scenario. It also introduced a "one-click pipeline" structure to reduce users' operational burden. With a single run, it automates everything from data analysis to model training, streamlining the annually repeated AI model training procedures.
This improves the consistency and precision of demand forecasting for logistics supplies and supports data-based planning of appropriate inventories and supply strategies at the planning stage. It is also expected to ease administrative burdens on field units by reducing estimation and review tasks that previously relied heavily on personnel.
HANSSAK said it plans to expand the AI technologies verified in this project across the defense sector as a whole, while also applying them to civilian manufacturing, logistics, and distribution industries where demand forecasting is important, to broaden its business domain.
Chief Executive Lee Judo of HANSSAK said, "It is highly meaningful that we successfully demonstrated AI-based requirement-forecasting technology using actual logistics data in the defense environment and applied it to Army logistics operations for the first time across the entire military," adding, "We will continue to strengthen a practical AI portfolio and leap forward as a leader driving AI innovation across diverse industries."