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"AI-assisted PDCA" dashboard enabling data-driven store operations through AI agents

Representatives can request analysis from AI using natural language
Capable of analyzing both structured and unstructured data
In addition to detailed sales analysis, AI provides customer insights and next actions for sales improvement

For Various Industries Industry-Specific Use Cases

01. Retail & Store Operations (Sales Improvement & Customer Service)

Use Case: Request complex sales analysis in natural language, such as "What caused last week's sales drop?"; Integrate and analyze customer inquiry history (unstructured data) and purchase history (structured data) to generate optimal customer service scripts; AI automatically analyzes data and suggests next actions for stock arrangements and recommended products to staff

Effects: Decentralization of data analysis duties and improved speed of decision-making; Improvement in customer satisfaction (CS) and repeat rate; Maximization of sales opportunities and reduction of waste loss

02.Financial Services & Front Office (Operational Efficiency & Risk Management)

Use Case: Issue customer trend queries in natural language, such as "What are the common factors for products with a recent high cancellation rate?"; Cross-check sales representatives' meeting minutes (unstructured data) with customer portfolios (structured data) to extract risk indicators; AI automatically recommends financial products to propose next, based on customer attributes and conversation content

Effects: Rapid response to market changes and improved precision of sales strategies; Compliance with regulations and early detection of potential risks; Efficient cross-selling and upselling

03.Service & Call Centers (Improving Response Quality & Operational Efficiency)

Use Case: Instantly visualize operational performance with queries like "Which time slots or agents have the highest complaint volumes?"; AI-integrated analysis of Voice of the Customer (VoC), response time data, resolution rate data, etc.; AI provides real-time suggestions on next actions or responses based on staff proficiency and current handling situation

Effects: Efficient personnel training and standardization of response quality; Quick identification of service improvement points and optimization of operational processes; Quick adaptation of new staff to roles and leveraging veteran expertise

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