The clients’ request was to build a smart appointment management system for American beauty points. The automated queue management enables a higher level of time utilization and more convenient service for the end customers.
Lowering cost per conversation with a potential client
Lowering cost per live agent department keeping
Increasing stylist time for a service, not for queue management
Increasing revenue by queue management and filling all working hours without declined visits
Simplification of service ordering via chatbot
Quick appointment scheduling to the stylist
Queue management to avoid losing time and money
Avoiding any paper notebooks and involving stylist in scheduling
Complicated AI functionality for scheduling appointment
Request to include phone number to waiting list
Rescheduling or canceling appointments
Searching the available client just once there is a cancellation
Internal CRM for managing clients
Own calendar management with the ability to setup working hours and blackout dates
AWS Lambda is the computing service from that allows running code without creating, setting up and managing servers. The AWS Lambda helped to place code that provides the addition of stylists’ services name from the database to DialogFlow
AWS API Gateway is a service that allows for creating and maintaining a scalable API service, which can interact with any other Amazon service (Lambda, S3, App running on ec2 instance etc.) in the project.
Botkit is the Node.js framework, that has implemented some easy and convenient methods for working with different bot platforms and programming flow of the dialog with complicated business logic and various API integrations support.
DialogFlow the platform is necessary to gather and recognize a client’s intent and produce human-like responses.
PHP API was used to create the backend project portion. It allows us to focus not only on the framework code, but also the business logic.