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AAAhtisham Ashraf
000

Project 02

Enterprise CRM & Automation Ecosystem

Backend Modernisation & Business Automation

Context
LuxuryProperty.com
Period
2021 — 2025
Categories
CRM · Backend · APIs · Automation

Overview

A programme of work modernising the CRM platform that the business runs on — improving backend performance, then extending it into an integration and automation ecosystem covering messaging, lead handling and third-party services.

Challenge

The CRM had grown alongside the business, and the cost showed up in query performance and in the amount of manual work required to move a lead through its lifecycle. Response times degraded under load, and operational processes depended on people copying information between systems. Both problems needed addressing without interrupting a platform the business used every day.

Role

Engineering and secure delivery — backend development, database optimisation, integration architecture and automation design.

Architecture

  1. 01

    Application Layer

    CRM services extended and restructured to support new business processes without fragmenting the platform.

  2. 02

    Data Layer

    Query and schema optimisation targeting the access patterns responsible for the slowest operations.

  3. 03

    Integration Layer

    A webhook and API surface connecting messaging, Google services and third-party providers to CRM records.

  4. 04

    Automation Layer

    Event-driven routines handling lead routing, notification and follow-up so routine steps run without manual intervention.

Conceptual only. No real topology, configuration or internal architecture is described.

Solution

  • CRM modernisation across backend services and business processes.
  • Query and database optimisation improving backend response under load.
  • WhatsApp messaging integration connected to lead workflows.
  • Webhook-driven automation for lead capture, routing and follow-up.
  • Google services and third-party integrations bound to CRM records.

Security

  • Integration endpoints validate and authenticate incoming requests.
  • Third-party credentials are held server-side and never exposed to clients.
  • Access to business records follows role-based restrictions.
  • CRM structure, business logic and integration detail remain confidential.

Outcome

  • Improved backend performance across the platform’s heaviest operations.
  • Manual steps in lead handling replaced by automated workflows.
  • A consistent integration surface that later work — including Andrea — could build on.

Lessons

  • Most CRM performance problems are query problems wearing a costume.
  • Automation earns trust by being observable — a workflow nobody can inspect will be worked around.
  • An integration layer built once, properly, pays for itself with every subsequent system.