How Velotio helped a SalesTech company with voice based bot development

Velotio has a very thoughtful approach to software development. They ask a lot of questions and don’t seem to be in a hurry to get business just to have it. They’re very clear about who they can help, and do what it takes to help those clients

VP Product, Seattle based SalesTech Company
Chatbot Development
Seattle, WA
5 million
2 months
Tech Stack Used
Amazon Lex
Amazon Polly
Amazon Alexa
Python
AWS Lambda

The client is a SalesTech platform which caters to enterprise sales teams, aiming to improve the effectiveness and efficiency of their sales activities. They use machine learning and data analytics to predict enterprise purchasing patterns, and guide sales representatives on the actions that will improve the chances of closing a sale. Salesforce was the CRM which was integrated with the bot.

Chatbot Development
Tech Stack Used:
Amazon Lex
Amazon Polly
Amazon Alexa
Python
AWS Lambda
Results

- Programmed to listen to commands via Amazon Alexa

- Automated administrative tasks such as updating CRM records

- Built to analyze meeting summary and provide actionable insights

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Business Context:

Velotio developed a voice-based chatbot to listen to commands via Amazon Alexa and provide insights, answers and recommendations. The bot also enables record updations or triggering specific actions.

The bot was designed to offer these features:

  • Next recommended action for a specific prospect
  • Analyse a meeting summary and provide actionable insights
  • Automate administrative tasks such as updation of CRM records
  • Daily targets and updates based on Salesforce integrations
  • Leverage networks to identify influencers and connections to a prospect

Business Challenges

The major challenge was using voice based AI interface to provide a more (natural) sales solution for their end customers. There was a need for a more interactive medium to allow the customers to ask queries, access reports and specific insights.Chatbots were considered to be used as a tool, however a more natural mode of communication was desired, owing to the end user being a salesperson who would prefer voice based commands to typing them into a chat window. The main aim was providing a experience for end users of the client.

The Solution

Two main components of the solution included:

1. Amazon Lex: Lex is the AWS service for building conversational interfaces into applications using voice. Amazon Lex provides the advanced deep learning functionalities of automatic speech recognition (ASR) for converting speech to text, and natural language understanding (NLU). Lex helped the bot interact with humans in the way that the humans find it natural. Amazon Alexa was used with Lex to create the voice based solution.  

2. Amazon Polly: Amazon Polly lets developers build applications that can talk. The service also offers dozens of lifelike voices in multiple languages, thus also allowing developers to target audiences in a variety of countries. Amazon Polly is fully integrated into the customer production environment, supporting Voice AI services within the reminder feature of the app.

Velotio has strong understanding of all the technologies and services required to build a useful chatbot. Their ability to anticipate challenges and plan for it is unparalleled.

VP Engineering, Seattle based SalesTech Company

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About Velotio

Velotio Technologies is an offshore product development partner for mission-driven technology startups across the globe. We combine business expertise and cutting-edge technology to drive success for our customers and help them win in their chosen markets.

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