Turn multi-hotel pickup documents into organized, hotel-specific communications with minimal manual work.

Pickup Sender is a workflow automation tool built around a real tourism operations https://github.com/efeozanakay/Pickuptime-senderprocess.

The application reads a multi-page pickup PDF, identifies tour operators and hotels, separates the document into hotel-specific PDFs, matches each hotel with its configured email recipients, and prepares the documents for automated delivery through Microsoft Outlook.

Instead of manually separating files, finding hotel contacts, creating attachments, and sending dozens of individual emails, the workflow is handled from a single interface.

Upload and process multi-page pickup PDFs

Detect tour operators and hotel records

Generate hotel-specific PDF documents

Match hotels with stored email recipients

Detect missing hotel contact information

Add and save missing recipients directly from the workflow

Prepare individualized hotel emails

Send documents through Microsoft Outlook

Track delivery progress and failures

Support test and live delivery modes

Upload the pickup PDF.

Detect operators and hotel sections.

Generate individual hotel PDFs.

Match hotels with their email recipients.

Flag missing contact information for correction.

Prepare hotel-specific messages and attachments.

Send through Microsoft Outlook.

Review delivery status and failures.

In a production-scale run, the workflow processed:

77 hotels

77 hotel-specific PDF documents

250 matched email addresses

77 successful deliveries

0 failed deliveries

Python

Streamlit

PDF parsing and generation

CSV / Excel contact data

Automated hotel matching

Microsoft Outlook desktop automation

Dynamic recipients and attachments

Test and live delivery modes

A single pickup operation can involve dozens of hotels. Each hotel needs to receive only the pages relevant to its guests.

Handling this manually requires separating a large PDF, identifying each hotel, finding the correct recipients, preparing individual emails, attaching the correct document, and tracking whether every message was sent.

At scale, this becomes repetitive, time-consuming, and prone to human error.

Pickup Sender converts that process into a structured workflow.

The operator uploads the source document once. The system handles document separation and recipient matching, highlights anything that requires human attention, and prepares the resulting communications for delivery.

The goal is not to remove operational oversight, but to automate the repetitive work around it.

Pickup Sender was designed around an actual recurring tourism-operations workflow rather than as a demonstration project.

It shows how a relatively focused internal tool can remove a large amount of repetitive administrative work without requiring a complex enterprise system.

Efe Akay — AI Automation & Digital Product Builder

https://github.com/efeozanakay/Pickuptime-sender