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:
frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen>
frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen>
frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen>
