Project Objective
To build a highly scalable, fault-tolerant Messaging Middleware platform fully integrated with Odoo, delivering seamless communication through:
SMS (multi-provider),WhatsApp,Telegram,Viber,RocketChat,Email
with intelligent load balancing, automated provider failure handling, real-time dashboards, and deep Odoo integration.
Business Challenges
- Fragmented messaging across SMS, IM, and email channels.
- Manual fallback process when providers failed — causing delays in critical communications.
- No real-time visibility into message delivery performance.
- No centralized, Odoo-based messaging interface for users.
- Required seamless scalability to handle varying volumes of messaging traffic.
Solution Overview
A custom-built Messaging Middleware Platform was architected and implemented with the following key components:
Messaging Microservices Layer:
- FastAPI-based microservices for asynchronous, multi-threaded message processing.
- Load balancing across multiple SMS providers: Dhiraagu, Ooredoo, Azure SMS, Dinstar.
- Dynamic provider suspension & reactivation based on real-time delivery performance (SDSR).
- Automatic fallback to IM channels (WhatsApp, Telegram, Viber) in case of SMS channel failures.
- Multi-channel retry mechanism — messages retried across alternate providers/platforms.
- Full delivery tracking using webhooks from SMS providers.
Odoo 18 User Integration
Unified Messaging UI inside Odoo — accessible to Sales, Marketing, Operations users.
Ability to send messages to:
- Internal users
- Customers
- Vendors
- SMS Blast via Excel — mass messaging with dynamic personalization fields (e.g. $$FirstName$$).
- AD group-based messaging and permission controls.
- Real-time live status dashboard in Odoo:
- Per-channel and per-provider delivery performance
- Historical analytics (daily, monthly)
- CSV export for reporting.
Monitoring & Administration
- Dynamic load balancing configuration — managed via Odoo and mirrored in Redis for fast updates.
- Automated alerts via email for:
- Provider suspension due to poor delivery rate.
- Service downtime (e.g. no SMS sent in 15 mins).
- Admin control to enable/disable providers or IM channels in real time.
- Full audit trails and logs for all message activity.
Architecture & Scalability
- ThreadPoolExecutor enables highly parallelized message sending:
- SMS batch size: 200 (production), 10 (testing).
- Parallel workers: configurable (default 5).
- Dynamic config reloaded live from database and Redis — no service restarts required.
- Dockerized microservices stack for scalable deployment.
Key Technologies
- FastAPI for REST APIs & messaging orchestration.
- PostgreSQL for Odoo and configuration management.
- MSSQL for SMS queue and delivery tracking.
- Redis for real-time provider state & config cache
- Python 3.8+, Dockerized deployment.
- Odoo 17 for front-end messaging UI & reporting.
Outcomes & Business Impact
- >99% delivery success rate across SMS and IM channels.
- Automated fallback mechanism eliminated manual intervention for message failures.
- Real-time monitoring & control gave business users confidence in messaging reliability.
- 70% faster delivery of mass communications via optimized microservice architecture.
- Seamless user experience — Odoo became the single interface for multi-channel messaging.
- Platform designed for future extensibility — additional IM channels or new providers can be added easily.
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KTree, a Global IT Company
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