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AI for Good Innovate for Impact



                          Use Case- 2:  AI-Powered Price Negotiation Solution (Nego-Wiz)







                      Organization:  AI O2O

                      Country:  Republic of Korea

                      Contact Person(s): 

                           Haewon Kam / haewonkam@ o2o �kr
                           O2O Leaders Group / o2oteam@ o2o �kr

                      1      Use Case Summary Table


                       Item             Details
                       Category         Finances

                       Problem          Traditional B2B procurement negotiations are complex, time-consum-
                       Addressed        ing, and inconsistent, resulting in suboptimal business performance, high
                                        management costs, and limited use of data and real-time insights.

                       Key Aspects of  AI-powered negotiation chatting system automates and standardizes repet-
                       Solution         itive negotiation tasks
                                        •  Real-time data analysis and benchmarking
                                        •  Adaptive negotiation personas for scenario-based strategies
                                        •  Integration with unified commerce platform

                       Technology       AI price negotiation, chat system, procurement automation, NLP, data analyt-
                       Keywords         ics, persona modeling

                       Data Availability  Private (internal procurement and transaction data; no public repository)

                       Metadata  (Type  Text (negotiation logs, product descriptions), numerical (pricing, transaction
                       of Data)         records), image (product images for benchmarking)

                       Model Training  Utilizes large language models (LLMs) fine-tuned on procurement negotia-
                       and Fine-Tuning  tion scenarios and enterprise transaction data. Adaptive persona logic for
                                        negotiation strategies.

                       Testbeds or Pilot  Pilot  deployment  within  KT  commerce’s  transaction  platform  (2024.12
                       Deployments      ~2025.03) 
                                        Beta Launch Currently applied in real business operations for procurement
                                        negotiations(2025, 04)
                                        Commercialization has been completed through a formal adop-
                                        tion  agreement,  initially  covering  a  subset  of  product  categories;
                                        expansion to encompass all transaction items of KT Commerce has been
                                        confirmed(2025.06).

                       Code reposito- Not publicly available(internal proprietary solution)
                       ries


                      KT Commerce is a subsidiary of KT Corporation, South Korea’s largest and most prominent
                      telecommunications company, providing advanced digital commerce and AI-powered




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