Ops & Knowledge Overview¶
Operations & Execution: Fulfillment, Logistics, and Quality Control.
This module ensures that once a deal is won, it is executed with precision, compliance, and efficiency. It bridges the gap between the Sales promise and the Supply Chain reality.
Operational Pillars¶
graph TD
A["Closed Order"] --> B{"Tender / Direct?"}
B -->|Tender| C["GEM Portal Mgmt"]
B -->|Direct| D["Order Processing"]
D --> E["Logistics / Route Planning"]
E --> F["Quality Check"]
F --> G["Dispatch"]Functional Components¶
1. Operations & Logistics¶
Goal: Efficient physical movement of goods and sales teams.
-
Key Capability: Pincode-based Route Planning for Field Sales and Delivery.
-
Tech: Geospatial queries, Salesforce integration.
2. Tender Management (GEM)¶
Goal: Systematize the complex government bidding process.
-
Key Capability: OCR-based "Tender Screening" to automatically identify relevant bids from thousands of documents.
-
Tech: Tesseract/Azure OCR, Keyword matching engine.
3. Quality & Samples¶
Goal: Verify product specs before shipment.
-
Key Capability: "Smart COA" (Certificate of Analysis) management and Batch Shuffling.
-
Tech: Document vision, threshold validation logic.
DevOps & MLOps Use Cases¶
While the above sections cover business operations, the following use cases ensure the system's technical longevity and intelligence.
| ID | Title | Priority |
|---|---|---|
| US-OPS-004 | MLOps Training Pipeline | P2 |
| US-OPS-005 | Edge CI/CD Pipeline | P2 |
| US-OPS-006 | Stakeholder Alerts | P1 |
[!TIP] Technical Deep Dive: For detailed logic and verification steps for these DevOps/MLOps use cases, please refer to the Operations Technical Specification.
System Operations (DevOps)¶
Beyond business operations, this module also covers the technical health of the Pebble Orchestrator.
Monitoring Architecture¶
- Observability: Prometheus + Grafana for real-time metrics.
- Logging: Centralized ELK/Loki stack for tracing requests across microservices.
Key Metrics¶
| Metric | Purpose | Threshold |
|---|---|---|
api_latency |
User Experience | < 200ms |
worker_queue_depth |
System Load | < 500 jobs |
ocr_accuracy |
Data Quality | > 95% |
Knowledge & Retention¶
- Technical Knowledge Base: Central repository for product specs, MSDS, and compliance docs.
- Runbooks: Automated recovery procedures for high-load events.
Technical Continuity¶
To ensure 99.9% uptime for the GTM and Ops pipelines, Pebble implements the following continuity measures.
1. Backup & Recovery¶
| Component | Frequency | Retention | Tool |
|---|---|---|---|
| PostgreSQL | Daily | 30 Days | pg_dump |
| Email Metadata | Real-time | 90 Days | Redis AOF |
| Audit Logs | Weekly | 1 Year | S3/MinIO |
2. Scaling & Resilience¶
- Auto-Scaling: Workers scale horizontally based on
worker_queue_depth. - Fault Tolerance: If the CRM/ERP API is down, Pebble queues the sync action and retries with exponential backoff, ensuring no data loss.
- Disaster Recovery: 4-hour RTO (Recovery Time Objective) via automated infra-as-code (Terraform) redeployment.