Learn more about the Wealth Management Chatbot powered by Watson
A Watson Conversation-based financial chatbot enables you to query your investments, analyze securities, and use multiple interfaces.
Get Started
Overview
Chatbots are rapidly gaining acceptance and becoming the norm for all kinds of customer interactions. In this developer journey, you will create a Watson Conversation-based chatbot that enables you to use an Investment Portfolio service to query portfolios and associated holdings. You'll use a Simulated Analytics service to compute analytics on securities under a given scenario and learn how to swap between a standard web interface and a Twilio interface.
When you have completed this journey, you will understand how to:
  • Create a chatbot dialog with Watson Conversation
  • Set up multiple interfaces with the Watson Conversation bot: web & Twilio
  • Access, seed and send data to the Investment Portfolio Service
  • Send data along with a scenario to the Simulated Instrument Analytics service to retrieve analytics
Flow
list_1
The developer can set up multiple communication channels (for example, WebUI or Twilio). The application listens for messages from either channel.
list_1
The conversation API takes in natural language input and breaks and maps it to intents and entities that it has been trained for. The app makes a call to the respective financial service based on the intent that was identified.
list_1
The context of the conversation is saved to the Cloudant DB so that the Conversation API is able to save the state and track the conversation flow of the user.
list_1
The Portfolio Investment API is called if there is a query asking for information around the holding or portfolio. An asynchronous call is made through a "Promise Request" to make the query and return the results. Subsequently, the results are parsed and formatted in a response object that is sent back to the Conversation interface.
list_1
The Simulated Analytics API is called if the intent is identified as “impact analysis.” This call initially requires issuing an asynchronous “Promise Request” querying the name of the holdings currently owned using the Portfolio Investment API. This is stored in an object that is subsequently sent to the Simulated Instrument Analytics service (SIA). SIA pulls the base and conditional price out of the object in order to compare against the potential market changes and return a measure of the impact to the holdings in this scenario. (In this use case, the change scenario is querying how the portfolio would perform if the S&P 500 drops by 5%. Results are parsed and formatted in a response object that is sent back to the Conversation interface.
Components
Conversation
IBM Watson Conversation
Create a chatbot with a program that conducts a conversation via auditory or textual methods.
Read More
cloudant
Cloudant NoSQL DB
A fully managed data layer designed for modern web and mobile applications that leverages a flexible JSON schema.
Read More
analytics
Simulated Instrument Analysis
Compute theoretical or market-calibrated values for investment securities over an alternate set of market conditions.
Read More
investment
Investment Portfolio
Maintain a record of your investment portfolios over time.
Read More
analytics
Cloud Foundry
Build, deploy, and run applications on an open source cloud platform.
Read More
investment
Twilio
integrate voice, messaging, and VoIP into your web and mobile apps.
Read More
Related Blogs
Integrating Slack with Watson Discovery News
It's never been a more exciting time to create a chatbot. Here's how to create a chatbot to act as a middleman for queries to the Watson Discovery Service.
Continue Reading
Recommendation app puts choice at your fingertips
This developer journey shows you how to build a voice-controlled recommendation app to help you find a restaurant or retail location.
Continue Reading
Integrating Slack with Watson Discovery News
Our newest journey teaches you how to create a banking chatbot with Watson™ and Node.js. There’s no doubt that chatbots are ubiquitous. They have become our personal assistants and so much more. No call queue should ever be needed to get through the usual support conversation on any website with cognitive chatbots. Market analysis suggests...
Continue Reading
Related Links