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How I Built a Travel Quotation Platform After Seeing Tour Operators Struggle with Excel

The idea behind MIA Coster and the technical challenges of building software for the tourism industry. Most developers have built a CRM, an e-commerce platform, or a SaaS dashboard at some point. Few have built software for tour…

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The idea behind MIA Coster and the technical challenges of building software for the tourism industry.



Most developers have built a CRM, an e-commerce platform, or a SaaS dashboard at some point.



Few have built software for tour operators.



A couple of years ago, I started working closely with travel agencies, DMCs (Destination Management Companies), and inbound tour operators.



I expected to find complex operational workflows.



What I didn't expect was that many companies were still running their entire quotation process using Excel spreadsheets, Word documents, PDFs, and email threads.



A single travel proposal could take hours to prepare.



The Problem



A typical quotation workflow looked like this:



Receive a client request.

Search hotel rates in spreadsheets.

Search transportation prices.

Calculate margins manually.

Build an itinerary in Word.

Export everything to PDF.

Send it by email.

Repeat the process when the client requests changes.



The larger the operation, the more spreadsheets appeared.



Version control was practically impossible.



Why Existing Tools Didn't Fit



Most available solutions were designed either for:



Generic CRMs

Booking engines

Enterprise travel systems



Very few were focused on the quotation process itself.



The challenge wasn't booking.



The challenge was creating customized proposals quickly.



That became the starting point for building MIA Coster.



Technical Challenges



Building a quotation platform sounds simple until you start modeling the data.



A travel itinerary can contain:



Hotels

Rooms

Transfers

Activities

Guides

Optional services

Multiple currencies

Different pricing rules

Markups

Commissions



Every item can affect the final price.



The biggest challenge was designing a structure flexible enough to support different business models without creating a maintenance nightmare.



Generating Professional Documents



One of the first lessons I learned was that users don't just need accurate pricing.



They need beautiful proposals.



The generated document often becomes the first impression a customer has of the company.



That meant solving problems such as:



Dynamic layouts

Responsive itineraries

Large image galleries

PDF generation

Consistent branding



A document generator quickly became one of the most important components of the platform.



APIs Everywhere



As the product evolved, integrations became unavoidable.



Travel companies need information from multiple sources:



Hotels

Activity providers

Transportation companies

Payment platforms

Internal systems



Building an API-first architecture made it easier to connect external services without rewriting core functionality.



What Building in a Niche Taught Me



One of the biggest startup lessons was that niche industries often have massive software gaps.



Many founders chase large markets.



But some industries are still solving critical business processes with spreadsheets.



Those gaps create opportunities.



The tourism industry is much larger and more complex than many developers realize.



And despite the growth of travel technology, there are still countless workflows waiting to be modernized.



Final Thoughts



Building software for a niche industry has forced me to think differently about product design.



The challenge is not writing code.



The challenge is understanding operational reality.



The more time I spent talking with tour operators and DMCs, the more I realized that the best features didn't come from brainstorming sessions.



They came from observing how people actually work.



Sometimes the next SaaS opportunity isn't in the latest AI trend.



Sometimes it's hidden inside a spreadsheet that nobody wants to open anymore.

SOC Incident Playbook: Remote Code Execution (RCE) Defense
Syntax validiert (0 Fehler)
title: Detect Exploitation - How I Built a Travel Quotation Platform After Seeing Tour Operators Struggle with Excel
id: 483c8d56-6d2f-4ab2-a308-26e8c0d97041
status: experimental
description: Automatisch generierte SIEM-Erkennungsregel basierend auf CTI Intelligence
references:
  - https://tsecurity.de/
author: iShareStuff CTI Automated Detection Engine
date: 2026-09-25
logsource:
  category: network_connection
  product: any
detection:
  selection:
      CommandLine|contains:
        - 'exploit'
  condition: selection
falsepositives:
  - Legitime administrative Zugriffe oder Penetrationstests
level: high
tags:
  - attack.initial_access
Syntax validiert (0 Fehler)
rule CTI_Threat_Indicator {
    meta:
        author = "iShareStuff CTI Automated Detection Engine"
        date = "2026-09-25"
        description = "YARA Signature for "
    strings:
        $str = "How I Built a Travel Quotation" ascii wide
    condition:
        any of them
}
Syntax validiert (0 Fehler)
index=security sourcetype IN ("cisco:asa", "pan:traffic", "zeek_conn", "suricata", "WinEventLog:Security")
("How I Built a Travel Quotation Platform ")
| stats count earliest(_time) as first_seen latest(_time) as last_seen by src_ip, dest_ip, dest_host, signature
| eval first_seen=strftime(first_seen, "%Y-%m-%d %H:%M:%S"), last_seen=strftime(last_seen, "%Y-%m-%d %H:%M:%S")
| sort - count
Syntax validiert (0 Fehler)
message: "*How I Built a Travel Quotation Platform *"
Syntax validiert (0 Fehler)
CommonSecurityLog
| where Message has "How I Built a Travel Quotation Platform "
| summarize EventCount = count(), FirstSeen = min(TimeGenerated), LastSeen = max(TimeGenerated) by SourceIP, DestinationIP, DestinationPort, Activity
| extend DetectionRule = "iShareStuff-CTI-Compiled"
| sort by EventCount desc
🎯
MITRE ATT&CK Matrix Navigator 14 Taktiken
Reconnaissance
-
Resource Development
-
Initial Access
Execution
Persistence
-
Privilege Escalation
Defense Evasion
Credential Access
-
Discovery
-
Lateral Movement
-
Collection
-
Command and Control
Exfiltration
-
Impact
tsecurity.de Cognitive Threat RAG
Fokus-Vektor:

Kognitive Analyse für identifizierte Bedrohung: Erhöhte Bedrohungslage im Bereich How I Built a Travel Quotation Platform .... Basierend auf 368k Vektor-Korrelationen werden sofortige Isolationsmaßnahmen für betroffene Endpunkte empfohlen.

🛡️ Angriffsfläche & Exposure

Netzwerk/Remote-Zugriff ohne Vorauthentifizierung möglich.

⚡ Empfohlene Sofortmaßnahmen
  • 1. Perimeter-Inspektion: Relevante Portfreigaben und exponierte Endpunkte unverzüglich scannen.
  • 2. Patch-Applikation: Hersteller-Hotfix einspielen oder betroffene Daemons in isolierte DMZ-Segmente überführen.
  • 3. Telemetrie & EDR-Alerts: Prozessaufrufe und Child-Processes auf anomale Shell-Spawns überwachen.
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