Integration Overview

ReplySuite was built to work seamlessly with modern platforms. Instagram provides a rich source of customer interactions (comments, DMs, mentions). Supabase is used as a scalable backend and vector store for embeddings and metadata. Combining these two enables a fast feedback loop from messages to suggested replies.

Instagram Connector

The Instagram connector listens for new messages, optionally scrapes public posts for context, and pushes structured events into the processing pipeline. Webhooks are used to ensure delivery and to trigger background workers that enrich and index content.

Supabase as the Data Layer

Supabase stores user profiles, message histories, and embeddings. The choice of Supabase simplifies auth, storage, and edge deployments — and it integrates well with serverless functions for background processing. Migrations and RLS policies ensure data is organised and accessible only to authorized services.

Safety and Privacy

We design integrations so that sensitive data is protected: secrets are stored in environment variables and access is scoped by roles. When ReplySuite generates suggested replies, the system can redact or avoid exposing private user data and maintain an audit trail of actions.

Customising Behavior

Teams can customise how aggressively ReplySuite suggests responses — for example, whether suggestions are auto-sent, require approval, or are only saved as drafts. This flexibility is essential for brands with strict compliance or tone requirements.