Shortening the skill acquisition period through the construction of a knowledge transfer AI system.
A case aimed at shortening the technical acquisition period and improving the pass rate through the construction of a knowledge transfer AI system!
We will introduce examples of AI search utilization from other companies. Inheritance of product development know-how at a chemical manufacturer (Lion Corporation × NTT Data) The company faced challenges such as the inability to inherit tacit knowledge, including difficult-to-quantify raw material blending ratios and foaming control techniques. After implementation, they achieved maintenance of product development quality, increased productivity, and more efficient know-how inheritance. 【Case Overview】 ■ Background - The turnover rate of skilled technicians in the development of laundry powder detergent manufacturing processes is 7% per year. ■ Results - The average technical acquisition period was reduced from 6.8 months to 3.2 months. - The first-pass yield in the optimization process of detergent particle size improved from 72% to 89%. - The time spent on knowledge extraction tasks by skilled technicians was reduced by 58%. *For more details, please download the PDF or feel free to contact us.
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