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South KoreaManufacturing2023 – ongoing

LG Electronics

CHATDA natural-language analytics for product planning and R&D

LG Electronics used CHATDA to complete data analysis in about 20 minutes

WorkingVendor case studyVendor ↗

Problem

Growing volumes of unstructured data overloaded LG Electronics' data teams. Product planners depended on specialists to obtain analysis.

Approach

LG Electronics worked with Microsoft to develop CHATDA using Azure OpenAI. A proof of concept began in early 2023, followed by a formal launch in January 2024. Employees asked questions in natural language to analyze business data.

Results

20분time to complete data analysis, according to an LG executive quoted by MicrosoftVendor case study[1]
1,823명CHATDA 2.0 active users, compared with 589 for CHATDA 1.0, in the December 2024 to July 2025 comparisonVendor case study[1]

Takeaway

Product planners could perform analysis with less dependence on the data team. The reported analysis time covered a broader task than the system's response latency.

Categories

Business function
IT and R&D
Innovation type
Process innovation
AI technology
Generative AI
Evidence
Vendor case study

Sources

Source summaries

[1]Microsoft12 Nov 2025

Microsoft described CHATDA's development and expansion into unstructured data. It reported analysis taking about 20 minutes and active users increasing from 589 to 1,823.

Full details are in the original sources.

Added 1 Nov 2026 · Updated 1 Nov 2026
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