Full-stack
Pre-trained
Multilingual
Smart
Ultra-Responsive
Multimodal
In-App Voice Assistants for e-commerce Apps
Making your apps
Faster. Easier. Accessible.
VAaaS - Voice Assistants as a Service - simplifies the process to add Voice Assistant in a self-serve mode into your existing mobile and web apps
You don't need specialized engineering skills or undergo a steep learning curve as a brand to implement a Voice Assistant in your e-commerce App
VAaaS provides meaningful commercial models linked to your voice usage and breaks the entry barrier completely for even startups & experiments
Designing Voice Conversations, Training Models, Continuous Learning, Performant Backend, Hardware and Network Infrastructure for Voice Stack - every Voice Assistant complexity is managed by us
Making your apps
Faster. Easier. Accessible.
VAaaS - Voice Assistants as a Service - simplifies the process to add Voice Assistant in a self-serve mode into your existing mobile and web apps
Cater to the 400+ million users who find it hard to use English-only and Touch based e-commerce app as they are accustomed to the vernacular languages OR they are just not digital-savvy!
Appeal to expert users of e-commerce apps who are frustrated with the repetitive tasks that they have to perform while shopping on app. Help them do it faster, simpler - and buy more often!
Delight your frequent users by enabling the convenience of a handsfree multitasking shopping and convert your most frequent shoppers on app to loyal customers for life!
Slang CONVA offers pre-built In-App Voice Assistants for several domains with well-designed voice experiences
Search online store for products using voice conversations
- NLP models pre-trained on 40,000+ SKUs
- Partial SKU names recognized
- High speed responses
- Multilingual support
Apply natural sounding search filters
“show me groundnut oil”
Create Filters specific to your business
"Show me single estate coffees"
Add items to cart directly using voice
- Mention item name, quantity and units of measure in a single line (instead of doing multiple touch interactions)
- Multimodal Disambiguation: if perfect match for SKU is not found, the app can ask the user to repeat OR show a list of potential matches to choose using touch or voice input
Add multiple items to your online shopping cart by speaking out a list of items to add in a continuous flow
- If any item is not understood, prompt the users to choose the right one or repeat the item slowly
- Use a mix of voice and touch interactions to power the app (multi-modal interactions)
Cancel the last order in the orders page
Go to delivery status page to track an order
View the last order placed on the app
Go to your shopping cart directly from anywhere in the app
Using voice prompts, promote offers on products that are related to the items already in the user's shopping cart.
Using voice prompts, promote offers on purchasing more or higher quantity SKU of an item already in the user's cart.
Search online store for products using voice conversations
- NLP models pre-trained on 40,000+ SKUs
- Partial SKU names recognized
- High speed responses
- Multilingual support
Perform complete or partial transactions on app using voice conversation
Jump to any screen of your app directly using voice.
"Show me offers", "Show me my cart"
Promote deals in your app using voice. Speak out offers to your customers at the right time.
Why should hands have all the fun?
Add multiple items to cart in one go.
Great qualitative review in the most natural way.
Capture the Tier 2 and Tier 3 users by enabling them to order with voice in Indic languages
Increase top-line growth by adding new users and bottom-line by increasing revenues per customer.
Make spelling mistakes a thing of the past. The friction of using keyboard, remembering spelling, transliteration challenges
Let users discover those hidden gems...err.. features in your app. Refer your friends in banking; the horror of finding features is real in those apps.
Add Slang to your app in as few as two days.
Pay for only 'Monthly Slang users'- those customers who used Voice in your app once.
Bias our speech recognition models specifically for your app to enable very accurate recognition.
We will only pass relevant words to the app, whatever you might say
We provide dynamic hints on the Slang Surface. This helps in guiding the users about what they can speak thereby reducing cognitive overload. But Dil Maange More? We even have a hints button to show even more hints.
We understand people take time to speak, so we wait for the user to speak before zonking out. Did we already mention that we designed Slang with empathy?
Some people speak more than others (Our CEO🤷🏽), We get that, we don’t stop listening to the user if she’s in the middle of a long sentence.
There are two ways of triggering the Voice Assistant. Global and inline search.
Ask a question to the user. Wait for her to reply and even speak out a confirmation message. Remove the hesitation in going wrong.
We support 5 Indian languages out of the box - Indian English, Hindi, Tamil, Kannada and Malayalam.
We reduce the overhead on your backend by giving the translated query from any of these 5 Indian Languages to English.
Have control over the words and phrases which you don’t want to translate. Bias our translation engine according to your app
Analyze how your users are using voice, what they are speaking most commonly, how often and much more.
Understand which words users have been spoken most often. A way to the user's mind is through her words. (Plain ol’ word cloud but...well marketing dept 🤷 )
Understand the language and regional breakdown of users.
Search pharma app for medicines and products using voice conversations
- NLP models pre-trained on 5,000+ SKUs
- Partial medicine names recognized
- High speed responses
- Multilingual support
Apply natural sounding search filters
“show me Vicks inhaler"
Create Filters specific to your business
"Show me Cetirizine tablets"
Perform complete or partial transactions on app using voice conversation
Add items to cart directly using voice
- Mention item name, quantity and units of measure in a single line (instead of doing multiple touch interactions)
- Multimodal Disambiguation: if perfect match for medicine is not found, the app can ask the user to repeat OR show a list of potential matches to choose using touch or voice input
Add multiple items from your prescription to the cart using a conversational voice based interface
- If any medicine is not understood in the list, prompt the users to choose the right one or repeat the name slowly
- Use a mix of voice and touch interactions to power the app (multi-modal interactions)
Cancel the last order in the orders page
Go to delivery status page to track an order
Go the recent orders section by saying a command.
Using voice prompts, promote offers on products that are related to the items already in the user's shopping cart.
Using voice prompts, promote offers on purchasing more or higher quantity SKU of an item already in the user's cart.
Search online pharmacy store for products using voice conversations
- NLP models pre-trained on 5,000+ SKUs
- Partial medicine names recognized
- High speed responses
- Multilingual support
Perform complete or partial transactions on app using voice conversation
Jump to any screen of your app directly using voice.
"Show me offers", "Show me my cart"
Promote deals in your app using voice. Speak out offers to your customers at the right time.
Why should hands have all the fun?
Add multiple items to cart in one go.
Great qualitative review in the most natural way.
Capture the Tier 2 and Tier 3 users by enabling them to order with voice in Indic languages
Increase top-line growth by adding new users and bottom-line by increasing revenues per customer.
Make spelling mistakes a thing of the past. The friction of using keyboard, remembering spelling, transliteration challenges
Let users discover those hidden gems...err.. features in your app. Refer your friends in banking; the horror of finding features is real in those apps.
Add Slang to your app in as few as two days.
Pay for only 'Monthly Slang users'- those customers who used Voice in your app once.
Bias our speech recognition models specifically for your app to enable very accurate recognition.
We will only pass relevant words to the app, whatever you might say
We provide dynamic hints on the Slang Surface. This helps in guiding the users about what they can speak thereby reducing cognitive overload. But Dil Maange More? We even have a hints button to show even more hints.
We understand people take time to speak, so we wait for the user to speak before zonking out. Did we already mention that we designed Slang with empathy?
Some people speak more than others (Our CEO🤷🏽), We get that, we don’t stop listening to the user if she’s in the middle of a long sentence.
There are two ways of triggering the Voice Assistant. Global and inline search.
Ask a question to the user. Wait for her to reply and even speak out a confirmation message. Remove the hesitation in going wrong.
We support 5 Indian languages out of the box - Indian English, Hindi, Tamil, Kannada and Malayalam.
We reduce the overhead on your backend by giving the translated query from any of these 5 Indian Languages to English.
Have control over the words and phrases which you don’t want to translate. Bias our translation engine according to your app
Analyze how your users are using voice, what they are speaking most commonly, how often and much more.
Understand which words users have been spoken most often. A way to the user's mind is through her words. (Plain ol’ word cloud but...well marketing dept 🤷 )
Understand the language and regional breakdown of users.
Add voice search to your custom subdomain other
- Upload a list of your own SKUs, we will train our NLP models for your SKUs
- High speed responses
- Multilingual support
Apply natural sounding search filters
“show me Vicks inhaler"
Create Filters specific to your business
"Show me Cetirizine tablets"
Perform complete or partial transactions on app using voice conversation
Add items to cart directly using voice:
- Mention item name, and quantity and in a single command (instead of doing multiple touch interactions)
- Multimodal Disambiguation: if perfect match for your item is not found, the app can ask the user to repeat.
OR
show a list of potential matches to choose using touch or voice input
Add multiple items to the cart using a conversational voice based interface.
- Use a mix of voice and touch interactions to power the app (multi-modal interactions)
Cancel the last order in the orders page
Go to delivery status page to track an order
Go the recent orders section by saying a command.
Using voice prompts, promote offers on products that are related to the items already in the user's shopping cart.
Using voice prompts, promote offers on purchasing more or higher quantity SKU of an item already in the user's cart.
Add voice search to your custom e-commerce apps.
- Upload your own SKUs list.
- High speed responses
- Multilingual support
Perform complete or partial transactions on app using voice conversation
Jump to any screen of your app directly using voice.
"Show me offers", "Show me my cart"
Promote deals in your app using voice. Speak out offers to your customers at the right time.
Why should hands have all the fun?
Add multiple items to cart in one go.
Great qualitative review in the most natural way.
Capture the Tier 2 and Tier 3 users by enabling them to order with voice in Indic languages
Increase top-line growth by adding new users and bottom-line by increasing revenues per customer.
Make spelling mistakes a thing of the past. The friction of using keyboard, remembering spelling, transliteration challenges
Let users discover those hidden gems...err.. features in your app. Refer your friends in banking; the horror of finding features is real in those apps.
Add Slang to your app in as few as two days.
Pay for only 'Monthly Slang users'- those customers who used Voice in your app once.
Bias our speech recognition models specifically for your app to enable very accurate recognition.
We will only pass relevant words to the app, whatever you might say
We provide dynamic hints on the Slang Surface. This helps in guiding the users about what they can speak thereby reducing cognitive overload. But Dil Maange More? We even have a hints button to show even more hints.
We understand people take time to speak, so we wait for the user to speak before zonking out. Did we already mention that we designed Slang with empathy?
Some people speak more than others (Our CEO🤷🏽), We get that, we don’t stop listening to the user if she’s in the middle of a long sentence.
There are two ways of triggering the Voice Assistant. Global and inline search.
Ask a question to the user. Wait for her to reply and even speak out a confirmation message. Remove the hesitation in going wrong.
We support 5 Indian languages out of the box - Indian English, Hindi, Tamil, Kannada and Malayalam.
We reduce the overhead on your backend by giving the translated query from any of these 5 Indian Languages to English.
Have control over the words and phrases which you don’t want to translate. Bias our translation engine according to your app
Analyze how your users are using voice, what they are speaking most commonly, how often and much more.
Understand which words users have been spoken most often. A way to the user's mind is through her words. (Plain ol’ word cloud but...well marketing dept 🤷 )
Understand the language and regional breakdown of users.
Seeing is believing. Try out our Slang Retail Voice Assistant.
