With a minimum number of unproductive calls to agents, a very low false positive rate, and rapid identification and immediate action to avoid charging for unwanted calls, we achieve excellence in performance. In its third generation, call classification incorporates advanced Artificial Intelligence techniques, combined with Khomp's 15 years of knowledge, making its performance unbeatable and a benchmark in the market.
To achieve excellence in call classification, the main challenge to overcome is the wide variety of carriers available and the constant changes in their user messaging patterns. To address this issue, Khomp applied machine learning techniques that make the algorithm evolution process a simple and routine task.
By implementing AI algorithms, Khomp successfully expanded Analytics to over 40 countries, establishing it as an international reference. Large contact centers worldwide enhance their operations with its assistance and evolve the algorithm by training their teams in their native languages, ensuring it stays up-to-date and high-performing.
AS REGULATORY AUTHORITIES PRESS FOR REDUCING THE INCONVENIENCE TO USERS FROM CONTACT CENTER CALLS, IT IS MORE CRUCIAL NOT TO WASTE PRODUCTIVE CALLS THAN TO SIMPLY DISCARD UNPRODUCTIVE ONES.
Using the most precise algorithm in the market, Analytics nearly eliminates unproductive calls in the operation while also delivering the best detection of productive calls, preventing wasted effort in the operation.
Through the Insight! module, the user can start a new AI training cycle to adjust the tool to changes in messages or new telephone audio patterns.
The entire process is automated until the point at which user intervention is required, involving listening to some audio and performing manual classifications. From that point on, the tool adapts and learns the new characteristics without the need to interrupt the operation.
The platform allows you to monitor the reaction time of agents when answering calls, enabling you to identify the interval during which the customer waited on the call before interacting with one of the agents.
In addition to the aforementioned analyses, the platform also provides information on productive calls that were left unanswered or in which only noise was detected, without any interaction.
This makes it easy and quick to isolate evidence of unanswered calls or interactions that took longer than usual to start. This allows you to quickly identify exceptional cases in the operation, providing a more in-depth and targeted analysis.
Also through the Insight! module, the system allows real-time monitoring of call traffic, patterns and classifications performed, providing a view of the solution’s performance and also the response time of agents in productive calls.
The call classification system categorizes productive and unproductive calls in real time, disconnecting unproductive calls as quickly as possible to mitigate charges, helping to improve productivity, optimize agents’ time, and provide a more efficient experience for both operators and call recipients. Additionally, by detecting specific messages, the system can be configured to take different actions, such as leaving a voicemail message, for example.
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