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// Carbonfay
RU

Omnichannel

Omnichannel Communication Orchestration Platform

An event-driven platform for segmentation, communication rules and automated campaign control across multiple channels.

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Context

A large operational company communicated with customers across several channels, and campaigns were assembled by hand in each department separately. There was no single view of the customer.

Problem

Segmentation went stale between exports, frequency caps were not enforced, and a customer could get several messages in a row from different teams. Broadcasts had to become a governed workflow with unified customer state.

Constraints

Consent and quiet-hours handling, heterogeneous channel providers with different reliability, a mandatory audit of every send.

Architecture

A unified customer model, an event stream, a separate communication-rules layer and a campaign orchestrator across channels. Rules were pulled out of campaigns into a configurable layer.

AI layer

Classification of incoming signals, gathering per-customer context and preparing message variants; high-cost-of-error decisions go to an operator.

Event model

Customer actions are reduced to events; segments and triggers build on the stream, not nightly exports, so the response follows the action.

Integrations

Channel-provider adapters, CRM and consent sources behind a single normalized contract that isolates campaigns from provider differences.

Automation flows

Branching on customer response, fallback channels on non-delivery, message deduplication, stopping the scenario on goal.

Infrastructure

Event queues, delivery idempotency, isolation from individual provider failures and delays.

Observability

Tracing of delivery, responses and per-channel cost; an audit of every send tied to the rule that triggered it.

Results

Repetitive cross-department coordination dropped 60–80%, and communication rules became enforced without manual control.

Lessons

Omnichannel is rule and event infrastructure, not simultaneous multi-channel broadcasting; pulling rules out of campaigns was the decisive move.

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Next step

Let's design an AI-native automation layer for your operations.

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