Blux Automates CRM With AI Agents, Carries Out Analysis and Campaigns Through Natural-Language Commands

Blux unveiled a strategy for automating CRM tasks using AI agents. The direction proposed by Blux is to hand over to AI agents the work marketers have repeated over and over, with the agents taking on customer data analysis, campaign planning, content generation, and performance analysis.

To explain the initiative, Blux held a seminar on the 7th at Maru 180 in Gangnam District, Seoul. The seminar was aimed at brand marketers and CRM practitioners and was organized around case studies of CRM applications using AI agents.

The seminar focused on customer repeat purchases and building long-term relationships. More than 50 marketers and industry officials responsible for improving customer retention and customer lifetime value (LTV) attended the event.

Kim Tae-ho, a customer success consultant at Blux, said the limitations of existing CRM work include repetitive manual tasks and rule-based targeting. He added that with limited manpower, it is difficult to segment customer behavior and characteristics in detail, and as a result many campaigns are designed for average customer groups.

Blux demonstrated how AI agents automate marketing operations. The demonstration included natural-language command-based customer data analysis, detection of conversion-rate drop-off points, and presentation of charts showing the analysis results. It also showcased a process for generating promotional assets by combining clothing images and model images.

Blux also unveiled a feature for checking configuration errors during campaign operations. The AI agent analyzed 13 automation scenario nodes to detect and fix a waiting-time configuration error. It then showed the flow for analyzing weekly performance by channel and writing a report on the results.

Blux also proposed 'context design' as a way to reflect the characteristics of each brand. Context design includes reflecting coupon policies, brand tone and manner, and key performance indicators (KPI) definitions. The company said the elements to be reflected fall into four areas: system prompts, tools, MCP, data, and memory.

Based on this information, Blux also explained a direction in which the causes of falling sales are analyzed, target customer groups for campaigns are formed, and customized campaigns are proposed. The focus was on linking multiple stages of CRM work based on brand policy and customer data, beyond simply carrying out predefined commands.

In the branding session, Yoon Jin-ho, CEO of Choin Marketing Lab, introduced brand strategies in response to the spread of AI. The session addressed the need to create reasons for choosing a brand, on the premise that AI is narrowing the gap in product features and AI is also narrowing the gap in content creation capabilities. To do so, he said, companies need to use characters and content and build continuous relationships with customers.

Kim Tae-ho, a customer success consultant at Blux, explained that branding is the work of making people like a brand, CRM is the work of forming a relationship that can keep being liked, and AI agents are the day-to-day execution of that relationship. He also said he expects working marketers to move away from simple repetitive tasks, and added that brand context design is necessary. He further suggested treating AI agents as colleagues and said he expects continued improvement in LTV.

Source: TECHWORLD · Kim Seung-gi
Original: https://www.epnc.co.kr/news/articleView.html?idxno=406793

References

• https://www.epnc.co.kr/news/articleView.html?idxno=406793