Document Intelligence for CRM Platform
High-throughput document ingestion engine processing 1,000+ documents/month with 15+ third-party CRM integrations.
01 // Problem Statement
CRM users faced heavy administrative burden manually parsing invoices, contracts, and receipts from email attachments and messaging apps, leading to lost context and delayed deal tracking.
02 // Technical Constraints
- Support multi-channel ingestion (Gmail, WhatsApp, Meta, SendGrid, direct upload).
- Integrate cleanly with 15+ third-party platforms (QuickBooks, Stripe, Razorpay, Salesforce, JustDial, IndiaMART).
- Maintain strict data isolation and tenant privacy across enterprise accounts.
Executive Summary
Document data entry is one of the highest friction tasks in sales operations. At MiClient, our CRM needed to automatically ingest, parse, and synchronize key data points from 1,000+ invoices, receipts, contracts, and lead forms monthly across dozens of communication channels.
System Architecture
[Inbound Sources: Gmail, WhatsApp, SendGrid, JustDial, IndiaMART]
│
▼
[Unified Webhook Ingestion]
│
▼
[Async Document Extraction Service]
│
▼
[Normalization & Validation Engine]
│
┌──────────────────┴──────────────────┐
▼ ▼
[MiClient CRM Database] [Sync Layer: QuickBooks, Stripe,
Salesforce, Razorpay]Key Integration Highlights
- 15+ Third-Party Integrations: Built robust sync connectors for Gmail, Microsoft Graph, Salesforce, QuickBooks, Stripe, Razorpay, Meta/WhatsApp, Teams, SendGrid, JustDial, and IndiaMART.
- Resilient Webhook Handlers: Idempotent webhook receivers with exponential backoff retries handling burst traffic [ADD: max peak webhooks/min].
- Automated CRM Enrichment: Extracted contact details, monetary values, and line items directly populated into deal cards.
03 // Key Decisions & Trade-offs
Unified Integration Abstraction Layer
Designed a plugin-based integration interface for 15+ third-party APIs, standardizing webhooks, authentication refresh cycles, and rate-limit handling.
Asynchronous Worker Ingestion Architecture
Decoupled webhooks from document extraction by immediately queueing raw document payloads into distributed worker queues.
04 // Measurable Results
- Consistently processing 1,000+ unstructured business documents per month.
- Automated 95% of manual qualification and data entry across sales operations.
- Seamless sync across 15+ external third-party software tools.
05 // What I'd Do Next
- Implement automated anomaly detection for fraud prevention in incoming billing documents.
- Add dynamic multi-document stitching for multi-page contract sets.