Download - CONNECTOR73 - artificial intelligence module
IntroductionModern communication systems contain a vast variety of different functions: from the simplest to most complex. We barely use even 10% of them in our everyday life. Meanwhile, as our systems become more complicated, the more difficult becomes the connection between us and our clients.
How we build barrier between company and client?
1) Extension that client have to remember
2) IVR
3) Overloaded secretary
4) Ineffectiveу call management rules and queues
5) Using only «right corporate» channels like phone or email
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How we like to make orders
Let see how people make orders in supermarket
STEP1 Choose time for visit
STEP2 Test or touch the product
Make decision immediately or ask for consultationSTEP3
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How it happens in corporate
How customers try to make order by phone
STEP1 Check the working hours
STEP2 Call to the company, listen IVR, waiting in queue
Explain your request to secretarySTEP3
STEP4 Explain your request one more time to somebody where secretary will transferred you
STEP5 If you forget something – callback and go through steps 2-4 one more time
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How our AI worksWhen Big Data works for your efficiency
Analysis of digital footprints
ANALYSIS
Anonymous data collections
COLLECTING DATA
The control system
generates the rules
DECISIONS
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2 3
Our service contains a communications management system built on the elements of artificial intelligence and designed to ensure transparent and efficient communication between users of different applications.
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Continuous Study Process
Collects detailed data on everything that goes on in it 24/7
24/7 working hours
Saves the path it used to reach the addressee, counts the number of steps needed, their character and duration
For every incoming call
Stores how, when and by which means system users communicate with the outer world
For every outgoing call
Using these assumptions, it defines rules to connect clients and employees with maximum speed and efficiency
Analysis & Assumtions
STUDY PROCESS
Converting your business from Good to Great. 8
Detail Example
PrimaryAnalyst
AI defines that the customer on the number 123-321 is usually served by the manager on the number 901. So it makes an assumption that when there’s an incoming call from 123-321 the system must check the availability of 901 and then forward the call directly to 901 skipping long processing scenarios. Now the system has a new rule which must work for this specific situation.
Then a manager returns the call to the system for standard processing, and, seeing that, AI will readjust its assumptions to better deal with such calls in the future.
In case of an outgoing call, a user must simply tell AI to connect with a client/partner of the company ABC, and it will be done with maximum speed and efficiency using every communication channel at hand. The channel is chosen based on the time and location of the caller.
What if the mistake was
made?
CallProcess
If there are any issues, AI notifies the user, and provides several solutions to choose. For example, leave a message or call back later etc. If message was left, AI monitors its status so the user doesn’t have to do anything else.Notifications
& Monitoring
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Training
A user can help train AI at any time using special tools. This helps to speed up the system integration process, and improve quality of automatic decisions in complicated cases. Manual training works for all types of communication channels. If required, AI can train on data from external systems to better asses different relations and make more efficient assumptions and rules.
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Supported CommunicationsBrings together in a single solution the various channels of communication
VOIC
E
SMS
VDEO
CH
AT
• Facebook Messenger
• Viber• Telegram• Slack• HiPchat
VOICE MESSAGING
SMS VIDEO
• Phone Calls
• VoIP• RTC
DATAData from IoT devices
WEB SERVICES
APPLICATIONS
THANK YOUANY QUESTIONS?
VLADIMIR AFANSIEV• [email protected]• Prague Office: +420 225 850 210• Tallin Office: +372 884 0084
WWW.CONNECTOR73.COM
Connect Business & Customers