Customer Relationship Management

    A CRM Built for Indonesian Sales Teams

    A modern CRM that unifies lead management, conversations, and sales pipelines — with AI-assisted automations and full Bahasa Indonesia + IDR localization.

    ClientLeadFlow
    IndustryCustomer Relationship Management
    LeadFlow CRM — KPI dashboard with sales trend analytics
    01

    The challenge

    Sales teams in the Indonesian market were stuck between generic global CRMs that did not fit local workflows (no IDR, no Bahasa, no WhatsApp-native conversations) and ad-hoc spreadsheets that did not scale past a handful of reps. Leads slipped through the cracks, response times stretched into days, and there was no single place to see what was actually working.

    02

    Our approach

    We designed and shipped a focused CRM around the way Indonesian sales teams actually work — conversations first, KPI-driven, and AI-assisted where it removes the boring parts of follow-up. Built as a single React + Node.js + PostgreSQL stack on AWS for fast iteration and predictable scaling.

    • KPI dashboard with sales trend analytics — the single screen sales leaders open every morning
    • Unified conversations inbox tying every message thread back to a customer profile
    • Sales pipeline + deal tracking with custom stages and automated reminders
    • AI knowledge base + automation rules to handle repetitive follow-ups and FAQ responses
    • Full Bahasa Indonesia localization and IDR formatting throughout — not a translation layer bolted on
    KPI dashboard and sales trend analytics
    Unified conversations inbox with customer profiles
    Sales pipeline and deal tracking
    03

    Outcomes

    [TODO]
    Reduction in lead response time
    [TODO]
    Pipeline coverage growth
    [TODO]
    Hours saved per rep per week

    LeadFlow CRM gave the team a single source of truth for every lead and conversation, replaced spreadsheet handoffs, and freed reps from repetitive follow-up. (Final metrics pending client confirmation — replace [TODO] placeholders before publishing externally.)

    Tech stack

    ReactNode.jsPostgreSQLAWSTypeScript

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