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matchmade

The startup offers a customizable software solution that automates the reconciliation process for enterprises by integrating data aggregation, transformation, and matching across multiple payment channels and databases. This tool enables seamless transaction posting to various ERP systems, enhancing operational efficiency in finance, IT, and supply chain functions.

Traction 10/10
Jakarta, Indonesia · HQ
Founded 2023393K+ followers
  • Data & Analytics
  • Enterprise Software
  • Financial Technology
  • Software Only
Updated 22 months ago

Funding

Raised to date

$1.8MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

4 founders

Kornelius Samuel

Engineer

Nikko Khresna

Engineering Team Lead

Sandy Perwira

Account Management / Business Process Improvement & Optimization / Leadership / Business Development

Syahrivan Sjafri

Acquisition, Growth and Business Development

Product

Problem

Enterprises often struggle with the complex and time-consuming process of reconciling financial data across disparate payment channels, databases, and ERP systems. Manual reconciliation is prone to errors, delays, and increased operational costs, hindering financial accuracy and decision-making.

Solution

Match Made provides an automated reconciliation software solution that streamlines financial processes for enterprises. The platform integrates data aggregation, transformation, and matching functionalities to automate complex reconciliation tasks. It supports various data input methods, including table uploads, OCR, mail extraction, and API integration, and offers data transformation, arithmetic operations, table consolidation, separation, and matching capabilities. The system then generates custom dashboards and tables, and provides API access for data output, enabling seamless transaction posting to ERP systems and enhancing operational efficiency across finance, IT, and supply chain functions.

Target Audience

The primary target audience includes enterprises across various industries such as food and beverage, fashion, healthcare, financial services, travel, fitness, FMCG, and outsourcing, seeking to automate and streamline their reconciliation processes.

Features

  • Data Input: Supports table uploads (CSV, XLSX, JSON, PDF, image files), OCR, mail extraction, and API integration for seamless data ingestion.
  • Data Transformation: Transforms data from any format into any desired format, standardizing column formats and unifying dates, amounts, and currencies.
  • Arithmetic Operator: Performs calculations such as addition, subtraction, multiplication, and division on data sets to generate calculated fields and insights.
  • Table Consolidation: Merges multiple tables into a single table based on customizable rules to harmonize disparate data sources.
  • Table Separation: Separates a table into multiple tables based on customizable rules to better organize and manage data.
  • Data Matching: Matches data from two tables based on customizable parameters, ensuring accurate synchronization of records.
  • Data Output: Offers customizable dashboards, custom tables, and API integration for data connectivity and actionable insights.
  • Automated Accounting Integration: Streamlines journal entries for invoice and receipt postings into accounting software.
This profile is AI-generated and may contain inaccuracies.