Skip to main content

KooKoo, now with SMS integration

By C Chaitanya
Well, its finally here. SMS integration. This was one of the most sought after features on KooKoo and now we have enabled this as a beta feature.

KooKoo has always been able to send SMS using the <sendsms> tag. But receiving sms by applications was a problem.Now, your applications can receive SMS as well as send SMS.

The following are the steps to enable receiving of SMS for your application.

1. Login to your account, go to settings and assign a keyword to your application(Only for gold and silver eggs, normal eggs do not have this feature). Do this fast as keywords are unique and you may not get the exact keyword you are looking for if someone has already acquired it.

2. Ask your users to send an SMS to 0-922-750-751-2 with "your_keyword <space> message" as a message.

That's it. You have now enabled a data channel for your application.

When KooKoo receives the SMS, it checks your keyword and forwards to your application URL with the following parameters:

event=NewSMS
cid=the_number_which_sent_the_sms
message=the_actual_sms_message
time=the_time_at_which_the_sms_was_sent

Update your application at the application URL to handle this new event and you are set.

Example:

Using this feature, we have enabled the SMS channel for our example apps Voicebuzz and Twittervoice

Register with voicebuzz and twittervoice and

Send an SMS to 0922-750-751-2 with voicebuzz <space> message as the content to post to your Facebook wall or

Send an SMS to 0922-750-751-2 with tweet <space> message as the content to post a tweet.

Please note that incoming SMS is available only to Gold and Silver egg accounts. Also, incoming SMS are charged, 8ps/sms for Golden egg accounts and 10ps/sms for Silver egg accounts. We will soon be posting a rate card for you to get your own numbers and other details.
Labels:

Popular posts from this blog

Cloud Telephony-History and state of the art

By C Chaitanya
Well, its been 11 years since Twilio launched their voice API in November 2008. I would say that was a major turning point in the cloud telephony industry. Before that, for people to build telephony applications, you either had to depend on proprietary platforms like Avaya dialog designer or build on arcane technologies like VXML which again was supported at varying degrees by the incumbents. Enter Twilio with their voice API and the industry changed for the better. Since it's been almost 11 years now I thought now might be a good time to do a comprehensive review of the cloud telephony industry as a whole in general and in India in particular. The Beginning Twilio was undoubtedly the startup which ushered in the era of cloud telephony. They started in November 2008. At that time in India, we at Ozonetel had launched a hosted VXML platform. There were no takers. After all who coded in VXML :) So when Twilio launched and we saw them take off, we immediately realized tha...
Read more

Google business messages and chat agents-A match made in heaven

By C Chaitanya
Google has launched Google business messages without much fanfare. It's just a small button that pops up when someone searches for your business on Google. But from the conversation industry perspective this is HUGE .   Do you know that the small call button drives millions of calls i n a year for pizza joints and other retailers in the US. Businesses spend more than a trillion dollars supporting billions of customer service calls each year. Now imagine how many chat conversations the "Message" button can drive.  Think of how customers interact with business. 1. Search on Google. 2. Click on web site link. 3. Web site shows chat pop up and tries to force the user to chat.(Annoying. I know :)) 4. User clicks on chat and starts conversing with a bot or an agent. This flow can now be completely changed. The new flow can be: 1. Search on Google. 2. User clicks on Message and starts conversing with a bot or an agent. What if you could design a customer experience that helps...
Read more

Telugu ASR speech data collection

By C Chaitanya
Image Source: IIIT-H Developing an indigenous ASR for Indian languages has been a goal for us since a long time. In that regard we have been experimenting a lot, trying out various neural network architectures.  While doing these experiments we found that there was no good dataset for Indian languages. While discussing with IIIT professors we got to know that the government of India was also exploring options to generate a good dataset. We immediately offered our help and our platform for this endeavor. So, as a starting step we have come up with a few campaigns to encourage users to donate speech data. We wanted to make it fun, so our first few campaigns are along the lines of JAMs(Just a Minute speech topics) etc. A topic will be provided and you need to speak for a minute on that topic. We have started this campaign for college students to start with. Of course anyone can participate and contribute their data. The more the merrier :) We will adding a lot more innovative ways ut...
Read more