Autoresponder recognition

Robot recognition

If you make a lot of outgoing calls, you probably encounter automated responses.

Our solution helps you recognize such responses in a timely manner to save your employees time.

Autoresponders

determination of answering machines of telephony providers and silence on the line.

Assistants

recognition of virtual telephone secretaries and voice assistants.

Recognition of answering machines and robots for outgoing calls

Features and Features

How answering machine recognition improves the efficiency of mass calls.

Robot exclusion

Outgoing calls that receive an automatic answer are not forwarded to employees.

Conversion

Increasing conversion due to an increase in the number of calls answered by real people, not robots.

Communication costs

Reduce costs by reducing the duration of non-targeted calls and reducing payments to telephony providers.

Automatic calls

Reducing the time that operators spend dialing numbers and waiting for the subscriber to answer, thanks to auto dial.

Statistics

Deep statistics on calls, channels, providers and conversions help you find useful insights.

Rich API

The extensive API capabilities allow you to integrate robot detection functionality into any other systems.

Find out the cost of the anti-robot system

Leave your contacts so we can send you rates for implementing a recognition system for answering machines and voice robots.

Answering machine detection FAQ

How much does AMD reduce outbound campaign costs?

Filtering robotic responses reduces operator idle time and telephony costs. Staff time goes to live conversations rather than waiting on the line.

What share of machine answers can be filtered out?

Auto-answer detection accuracy is variable – it depends on specific conditions (region, carrier). On average, more than 80% of answering machines are recognized.

Is silence detected reliably?

About 80% of silent-line responses are diagnosed well by the AMD system. These results can be improved by updating recognition models as part of technical support.

3 stages of implementation

Designing the architecture of the recognition system and integration with telephone services. Determining the types of answering machines that need to be excluded from transfer to employees.
Design
recognition systems
Preparing and setting up a system for determining an automatic answer on the subscriber's side for an outgoing call. Integration with car dealer and other telephone services for collaboration.
Implementation
setup and integration
Machine learning neural network for more accurate recognition of automatic responses. Automatic generation of a dataset for regular corrections.
Education
neural networks

Robot recognition

for outgoing calls.

Key Facts
Company
CONTACT.WORK – digital communications systems integrator
Category
Software Product
Description
Detect answering machines, voicemail and silence during outbound call campaigns. Reduce costs and boost live-connect rates. See how it works.
Address
5 Dostyq St., Astana 020000, Kazakhstan
Website
contact.work
Email
sale@contact.work
Telegram
@contactworkteam