Notice on the ALF v2 Transition Schedule
October 31, 2025: ALF v2 will be officially released.
November 28, 2025: Use of ALF v1 will be discontinued, and only ALF v2 will be available.
We provide a statistics feature that allows you to check, at a glance, the chat involvement rate, the resolution rate of meaningful answers to customer questions, the CX score, and the estimated cost savings achieved through ALF.
Existing ALF statistics can be found in ALF v1 and will only be provided until November 27, 2025, which is when ALF v1 is discontinued.
Please set the period you wish to view.
ALF statistics can be viewed for a minimum of 1 day and a maximum of 31 days.
You can view the statistics of the past ALF v1 by clicking the [Previous Data] button.
Downloading of ALF v2 statistics will not be provided until the statistics renewal scheduled for the end of December, 2025.
The percentage of total chats in which ALF was involved.
Involvement Rate Calculation
= [Number of chats ALF was involved in] ÷ [(Number of chats ALF was involved in) + (Number of chats ALF was not involved in)]
The percentage of chats ALF was involved in that did not get connected to an agent.
Use knowledge and tasks to increase answer accuracy, improve the resolution rate for inquiries, and effectively lower the agent connection rate.
Resolution Rate Calculation
= [Number of chats ALF was involved in that did not connect to an agentALF] ÷ [Number of chats ALF was involved in]
Compared to Total: The percentage of total chats that ALF resolved without agent response.
= [Number of chats ALF was involved in that did not connect to an agent] ÷ [Total number of chats]
A score that the AI evaluates itself for ALF's answers.
Score rated by AI. Out of 5, considering customer sentiment, resolution, and response quality.
This is the estimated cost saved because ALF responded instead of an agent.
Calculate the efficiency of ALF directly by substituting the average labor cost and the number of chats handled by the agent.
Period: Reflects the period selected in the statistics.
Chats resolved by ALF (A): he number of consultations actually resolved by ALF during the selected period, which is the same as the [Resolved by ALF] metric in the consultation processing funnel.
Agent cost per chat (B): Average agent salary ÷ (Average daily chats ÷ Number of agents × 30 days)
Average Agent Salary: Enter the average monthly salary of the agents to be used as the basis for calculation. The default value is 2,500,000 KRW.
Number of Agents: Enter the number of agents to be used as the basis for calculation. The default value is 5.
Average daily chats: The value obtained by dividing the actual number of consultations generated in the channel during the selected period by the number of days in that period, calculated as: '[Chats] in the consultation processing funnel ÷ [Number of days in the period]'.
The Chat Processing Funnel is a statistic that shows, step-by-step, how much ALF was involved in the total number of chats and whether that involvement actually led to resolution. It allows you to visually check the chat flow, making it easy to understand the performance of AI chat automation.
Aggregation Criteria
Chat: Chat in which an agent or ALF was involved. (During the CBT period, chats where only the workflow was executed are not aggregated.)
ALF Involvement: Chats where the customer sent one or more messages to ALF
ALF Not Involved: Chats where the customer has never conversed with ALF.
ALF Resolved: Chats where ALF was involved and an agent did not respond.
Agent Handled: Chats where an agent sent one or more messages.
More filters (e.g., Route) will be added to the top section
More detailed content for [Chat Processing Funnel] will be added
Feature to view a detailed chat list when clicking on a chart segment will be added
Data download for the detailed chat list will be supported
A CX Score funnel for chats resolved by ALF will be added
A workflow-initiated funnel will be added. will be added
Detailed content for [Top 10 Most Referenced Knowledge] will be added
Detailed content for [Top 10 Most Executed Tasks] will be added