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KwikReceivable · AI-Powered AR Automation Platform · Move37 AI

KwikReceivable —
AI that reads invoices, matches payments,
and reconciles accounts

“KwikReceivable streamlined our receivables management process by automating document matching, reconciliation, and payment tracking. The platform improved visibility across receivable operations while significantly reducing manual effort and reconciliation time.”

— R2G Foods
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The Problem

Challenges the Client Faced
Before KwikReceivable

R2G Foods managed large receivable volumes across complex distribution networks but relied on manual processing to track payments and close open invoices — leading to critical operational blind spots.

Fragmented Multi-Channel Visibility

Data for each inbound document stream lived in silos. Thousands of payments, invoices, and debit notes arrived but no single consolidated matching timeline existed per customer account.

The "Never Reconciled" Risk

They couldn't identify which invoices were slipping through the cracks or sitting partially paid. Thousands of line items lagged in resolution, stalling working capital flow.

Operational Optimization Guesswork

Finance teams lacked objective tracking data to reconcile complex payment advice sheets against bank statement realities — operating on intuition rather than data-backed evidence.

Technical Root Cause: Row Explosion

The data relationship caused a classic "row explosion" — multiple entries per invoice across databases made simple joins return inflated and inaccurate metric counts.

The Shift

From manual chaos to
intelligent AR automation

Before · Manual AR

How AR teams operated

  • Manual tracking of payments across invoices and debit notes
  • No consolidated matching timeline per customer account
  • Document streams siloed — no cross-document reconciliation
  • Partial payments and mismatches handled ad hoc
  • High reconciliation time and significant manual effort
  • No real-time visibility or notifications for vendors and finance teams
After · KwikReceivable

How the platform enables AR

  • AI-powered extraction across dynamic invoice and document formats
  • Automated matching engine — PO, MRN, Invoice, DN, PA & Bank
  • Automated reconciliation with real-time discrepancy identification
  • Configurable workflow orchestration at client and entity level
  • Minimal manual intervention with high automation accuracy
  • Vendor & customer portal for full invoice and payment visibility
App Flow

End-to-End AR Lifecycle Automation

The platform automates the full Accounts Receivable lifecycle — from document ingestion and AI extraction to intelligent matching, reconciliation, workflow approvals, and ERP push.

Document Upload
Vendor / Customer Portal · API · Manual
AI Data Extraction
Field Mapping & Normalisation
Matching & Reconciliation
PO · MRN · Invoice · DN · PA · Bank
Workflow Orchestration
Validation · Approval Routing · Alerts
ERP / Accounting Push
Audit Logs & Reporting
Key Features

Everything your AR team needs.
Nothing it doesn't.

AI-Powered Document Extraction

Intelligent extraction supporting dynamic invoice and financial document templates across multiple vendors and formats.

Automated Matching Engine

Multi-document matching across PO, MRN, Invoice, Debit Note, Payment Advice, and Bank Statements — fully automated.

Reconciliation & Discrepancy ID

Automated reconciliation engine that identifies mismatches, partial payments, and resolution exceptions in real time.

Vendor & Customer Portal

Self-service portal for invoice and payment tracking, giving vendors and customers full visibility into their accounts.

Configurable Workflow Orchestration

Orchestration engine configurable at client and entity level, with dynamic business rule validation and approval routing.

Multi-Tenant Architecture

Multi-tenant data partitioning and entity-wise access control with role-based visibility across organisations.

Automated Notifications & Alerts

Email, SMS, and workflow notifications with alert escalation at different approval and orchestration stages.

API & Third-Party Integrations

Kafka-based asynchronous processing with full API support and third-party integration for seamless data intake.

Audit Trails & Exception Dashboard

Complete processing transparency with audit logs, exception management dashboard, and scalable microservice architecture.

Unique Selling Proposition

One platform.
Every receivable signal.

Intelligent Extraction

AI Capabilities
  • AI-enabled extraction for dynamic invoice templates
  • Support for multiple vendor document formats
  • Gemini LLM for document understanding
  • High automation accuracy, minimal manual intervention

Matching & Reconciliation

Core Engine
  • Automated PO ↔ MRN ↔ Invoice matching
  • Debit Note & Payment Advice reconciliation
  • Bank Statement reconciliation engine
  • Partial payment and mismatch handling
  • Automated discrepancy identification

Workflow & Access

Orchestration
  • Configurable workflow at client & entity level
  • Dynamic business rule engine with custom validations
  • Multi-tenant data partitioning
  • Role-based access and visibility controls
  • Automated notifications at every approval stage

Integration & Scale

Platform
  • API & third-party integration support
  • Kafka-based asynchronous processing
  • Scalable microservice-friendly architecture
  • Audit trails and full processing transparency
  • Faster onboarding of clients through configurable stages
Who It's Built For

Designed for teams managing
complex receivable volumes.

Enterprises managing large receivable volumes

Manufacturing companies

Logistics & supply chain businesses

Multi-entity organisations

Finance & accounts receivable teams

Shared service centers (SSC)

Vendors and customers managing invoice & payment tracking

Engineering Challenges

Hard problems.
Solved by design.

Building KwikReceivable required solving deep technical and operational challenges to deliver a platform that enterprises can rely on at scale.

01

Handling highly dynamic invoice and financial document formats across multiple vendors and templates

02

Achieving accurate extraction across varied merchant descriptors and document structures

03

Building intelligent matching logic spanning multiple financial documents simultaneously

04

Managing reconciliation between invoices, debit notes, payments, and bank statements

05

Handling partial payments and mismatch scenarios without manual escalation

06

Maintaining strict data isolation across clients and entities in a multi-tenant environment

07

Reducing processing latency for large-volume document uploads at enterprise scale

08

Providing real-time visibility and notifications to vendors, customers, and finance teams simultaneously

Business Impact

Business Impact & Results

The deployment of KwikReceivable transformed the client's receivable operations from disjointed, high-volume manual processing to precise, data-driven automation.

100% Visibility into Receivable Status

The most immediate impact was the elimination of the visibility gap. The platform provided real-time alerts for unreconciled invoices, ensuring every receivable received attention — directly improving working capital recovery.

Optimized Operations Spend and ROI

By identifying high-leverage automation workflows, the client was able to intelligently shift operational focus away from low-value manual reconciliation toward high-value financial analysis.

Strategic Receivables Planning

The correlation of timing-vs-resolution and time-to-reconciliation lag enabled the finance team to design evidence-based collection schedules. They now trigger specific actions during discovered "Golden Windows" that yield maximum resolution and recovery rates.

Tools & Tech Stack

Leveraging a future-ready
tech ecosystem

Frontend

React.js & JavaScript — responsive, scalable UI for vendor/customer portals and internal finance dashboards.

Backend

Python & Django powering all business logic, data transformation, reconciliation engines, and API orchestration.

Async Processing

Kafka-based event streaming for high-throughput, low-latency processing of large-volume document uploads.

AI / LLM

Gemini LLM integration for intelligent document extraction, reconciliation reasoning, and dynamic format understanding.

Database

MySQL for structured relational data storage with multi-tenant partitioning and entity-wise data isolation.

Cloud & Hosting

AWS Cloud infrastructure on Ubuntu Server with AWS Amplify for scalable, reliable production deployments.

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