Digital Assistants & Natural Language

Michael Pytel (@mpytel), co-founder and CTO at Fulfilld, shares stories from the team's wins and losses in building out this intelligent managed warehouse solution.

The recording from this Deep Dive includes:

• (2:00) Introduction to Fulfilld
• (10:15) Natural Language Processing use case for warehouse guidance
• (11:40) Generating directions using Dijkstra's algorithm (commonly used in mapping applications) to connect the shortest route between two points
• (13:10) Generating audio guidance for a custom map using Google Cloud Run and Text-to-Speech API
• (14:15) Using WaveNet to create natural-sounding, multi-language voices for text-to-speech scenarios
• (16:45) Building a digital assistant with Google Dialogflow
• Intent matching and other features
• Other use case examples of Google Dialogflow
• (21:30) Integrating voice while building applications on Flutter
• (22:35) Natural language alerts for warehouse operations
• (23:50) Big ideas: looking to the future of Fulfilld

Other Resources

• WaveNet: A generative model for raw audio
• Google Cloud hands-on labs
• Google documentation: Creating voice audio files
• Build voice bots for mobile with Dialogflow and Flutter | Workshop
• The Definitive Guide to Conversational AI with Dialogflow and Google Cloud

Find the rest of the series from Fulfilld below:

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