FlashRev Discover
[FlashAI]
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Under the Campaign, optimized the issue where the AI Agent did not display call records normally in some scenarios.
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Under the inbound flow, the task "No longer sync clues with a call duration of 0 to Lark group when the customer doesn't speak".
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Under the Agent tab, users can directly input text, choose from 6 countries' languages, and convert the text into speech to experience FlashIntel's language capabilities.
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In the Agent section, users can now choose and experience the accent of native users from different countries, genders, and ages to see if our AI Agent's accent is authentic.
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Under Agent, customers can directly play the voices of AI Agent clones from different countries and different groups to experience the voice imitation capability of FlashAI.
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Under the Agent tab, customers can directly upload their own voice recordings or directly record to clone their own voice/tone/pitch/timbre. The AI Agent possesses a high mimicry ability for customer accents, enhancing your customers' willingness to communicate.
[FlashRev PC]
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Under the Enrichment tab, users can now utilize existing lead information combined with Google search capabilities for effective data supplementation.
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Under the Enrichment tab, users can upload their existing intelligence information to LLM and customize the analysis and output results. The system will leverage the capabilities of LLM to effectively supplement sales leads.
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Under AIFlow, the feature: AIFlow allows a maximum of 5 people to be added from the same company to avoid excessive contact with personnel from the same company.
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Under AIFlow, AIFlow's Pitch automatically generates Lead Magnets based on the URL provided by the customer, further providing attractive email content.
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"AIFlow, enabling users to switch between product and service pitch languages, with the ability to regenerate descriptions in the chosen language for pain points, solutions, proof points, and calls to action. This feature ensures email content generated is authentic to the selected language."
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Under the AIFlow tab, users can manually update the AI-generated prompt, and the system will immediately generate a real email preview subject and email preview content.
FlashRev - Outreach
1. Enhanced Answering Machine Detection Mechanism
This week, we optimized the answering machine detection mechanism to improve both the speed and accuracy of detection across various dialing scenarios.
Key Updates:Dynamic Detection Timing
In the previous mechanism, the answering machine detection time was fixed, typically taking 2-3 seconds for each call. In the new mechanism, the detection time is now dynamic:
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Faster Results: If a real person is detected or a clear signal (such as a fax machine alert) is identified, results are returned in under 2 seconds.
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Longer Detection Time: When encountering voicemail, the system may take longer (potentially over 4 seconds) to ensure accurate detection. This allows the system to wait for the specific beep sound that indicates a voicemail message, aiding in distinguishing between a voicemail and a real person.
Benefits:
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Improved Accuracy: The new mechanism enhances the accuracy of detecting answering machines and differentiating between live responses and voicemails.
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Faster Responses: By adapting the detection time based on the type of response, the system provides quicker feedback when appropriate, optimizing the dialing process.
2. Caller ID local presence mode enhancement in Parallel Dialer
This week, we have made significant improvements to the caller ID selection and rotation mechanism in the Parallel Dialer to enhance call answer rates and optimize caller ID usage.
Key Enhancements:
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Geographic Location and Area Code Correspondence: We have established a comprehensive set of geographic location and area code mappings. This ensures that both calling and called numbers are from the same area, which helps improve the likelihood of calls being answered.
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Intelligent Caller ID Rotation Mechanism: We introduced a smart rotation system for caller IDs, ensuring that the frequency of use for each calling number remains balanced.This mechanism helps prevent any single caller ID from being overused, reducing the risk of it being flagged as a nuisance by operators.
How it works:
The caller ID takes into account the following factors when scheduling:
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Country
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State
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Counts in the current dialing project
When making an outbound call, first match the caller ID pool to see if there is a number with the same country as the called number.
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If not, assign a callerID with the lowest counts in the current project.
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If yes, further matches to see if a callerID exists with the same state code:
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If not, assign a callerID with the same country value and the lowest counts in current dialing project
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If yes, assign the number with the same country and state code and the lowest counts in the current dialing project as the callerID.
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Example:
Phone Number
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Country
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State
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Counts in current project
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number#1
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United State
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California
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10
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number#2
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United State
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California
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8
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number#3
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United State
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Texas
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1
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number#4
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United State
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New York
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5
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When dialing a U.S.-New York number, assign number#4.
When dialing a U.S.-Florida number, assign number#3.
When dialing a U.S.-California number, assign number#2.

3. CRM Synchronization for SMS Reply Tags
In our recent updates, we have enhanced the SMS reply system by introducing Sentiment Tags and Intent Tags. These features assist users in categorizing and filtering SMS communications effectively.
Key Updates:Tag Synchronization with CRM
We have synchronized the sentiment and intent tags with the CRM system. This means that whenever an SMS reply is received, the customer's Salesforce will also receive a notification containing the corresponding sentiment and intent tags.
Benefits:
Users can now easily categorize and filter SMS replies based on sentiment and intent both within the SMS platform and directly in Salesforce.Synchronization ensures that relevant information is always available in the CRM, allowing for timely responses and better customer engagement.These updates are designed to streamline communication workflows and improve the overall user experience on the FlashRev platform.

