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Reserva · Fashion retail

Rent invoices read and categorized with no typing

Rent invoices for Reserva's stores arrived as PDFs by email and were transcribed line by line. An AI-powered OCR pipeline extracts landlord, amounts, due dates and accrual period, chart-of-accounts rules categorize them and the entries go to CLAE and SAP.

Reserva

How the data moves

  1. 01PDF invoice
  2. 02OCR
  3. 03Accounting rules
  4. 04CLAE and SAP
saved every month
100 h
digital, from reading to categorization
100%
of development in rules, tables and OCR
320+ h

The challenge

Why it's hard.Fashion retail.

A fashion chain with stores in malls and on the street receives a rent invoice per store every month: rent, service charges, the mall's marketing fund and other charges, each landlord with its own PDF layout. Someone has to open every file, transcribe amounts, due date and accrual period, and choose the GL account for each line. It's repetitive work, prone to typos and hard to audit.

From PDF invoice to journal entry

  • Landlord and periodMall A · 05/2026Store 014Due 06/10/2026
  • RentR$38,500.00RentStore 014
  • Service chargesR$9,840.00Service chargesStore 014
  • Marketing fundR$2,310.00Marketing fundStore 014

Sample data.

The project

How Openi solved it.In 3 steps.

  1. 01

    AI-powered OCR pipeline trained to read the PDF invoices and extract landlord, amounts, due dates and accrual period.

  2. 02

    Configurable rules based on the chart of accounts, by leased unit, cost center and expense type.

  3. 03

    Automatic export to CLAE and SAP, with an edit log, filters and validations.

More customers

Who else works this way.

Demo

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