Lotte Construction Introduces AI Model to Streamline and Enhance Construction Cost Estimation

Lotte Construction's new AI model streamlines construction estimation by using standard data and natural language mapping, improving accuracy and efficiency. It supports budget prep and bidding with consistent, transparent unit price calculations.

Published on: Jun 24, 2025
Lotte Construction Introduces AI Model to Streamline and Enhance Construction Cost Estimation

Lotte Construction Develops AI Model to Improve Construction Estimation Efficiency

Lotte Construction recently introduced an AI-based construction estimation model aimed at streamlining the management of construction estimation details and enhancing the accuracy of unit price calculations.

The model consolidates estimation details using standard construction references and applies objective criteria to calculate unit prices. By leveraging natural language-based mapping technology, it eliminates the need for complex, traditional estimation codes, which simplifies the process and boosts work efficiency.

Improving Accuracy and Consistency in Estimation

Previously, estimation relied heavily on the judgment of individuals, often comparing contract unit prices based on unstructured and inconsistent details. This new AI model uses a database of standard details and historical contract unit prices to assess and review unit price appropriateness more reliably.

Digitizing estimation details helps maintain a consistent estimation detail system. It also enhances transparency and trustworthiness in the unit price calculation process, which benefits both budget preparation and bidding stages.

Practical Applications and Future Plans

  • The AI model will be actively used for execution budget preparation and bidding estimations.
  • Continuous updates and supplementation of standard details are planned to improve construction cost management efficiency.

A representative from Lotte Construction highlighted that the model systematizes complex cost detail systems and diverse detail names common in construction, driving more efficient cost management.

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