​​MailFalcon: An AI-Human Email Assistant That Helps Austrian E-Commerce SMEs Keep the Customers They Are Quietly Losing

EXECUTIVE SUMMARY 

MailFalcon is an AI-powered email-support platform built especially for Austrian e-commerce SMEs with 5-100 employees. It automatically reads and classifies incoming customer emails and, where appropriate, drafts replies, while keeping a human in the loop for quality control. A traffic light logic governs every message. Green emails receive a “ready-to-send” draft (around 80% of cases), yellow emails receive a draft flagged for closer human review and red emails – those the system does not understand – are passed to a human untouched. Our product is GDPR-compliant by design, Austrian-hosted and deployable in a few hours without requiring an existing CRM. 

Goal 

The goal of the project is to help small and mid-sized online shops deliver faster, higher quality customer support and prevent the hidden churn that follows slow or generic sloppy replies. Research cited in our findings indicates that 61% of customers switch to a competitor after a single poor support experience. Rather than maximizing raw automation, MailFalcon optimizes customer satisfaction by applying AI only where it creates real value. Across multiple iterations the venture sharpened its focus from generic SMEs to fast-growing Austrian e-commerce shops, where support volume rises faster than headcount. 

Methodology 

The business model was developed and refined over multiple iterations using primary research and expert feedback. This combined ongoing customer-discovery interviews with founders, managing directors and customer service leads at Austrian e-commerce SMEs including interviews with end customers about recent support experiences. We also made a structured competitor analysis of DACH, European, and global vendors.  

Results 

The research confirmed a defensible niche. Of the 17 competitors analyzed, only 5 combine genuine e-commerce focus with SME fit and no Austrian player combines email-first design, full AI-reply automation and dedicated e-commerce focus, leaving MailFalcon’s position unmatched. Customer interviews showed that the top frustration is impersonal template-style replies, rather than slow responses alone, validating the focus on response quality over automation rate. The model was sharpened accordingly and is fed with real customer data (business data). We also use Austrian-hosting and a simplified tiered pricing model with no setup fee. The bottom-up market model estimates a serviceable obtainable market of roughly €1.7M ARR (about 850 customers) within three years, against a DACH TAM of around €9B and a SAM of around €1.6B. A working v2 prototype now demonstrates the end-to-end AI-human decision loop. The next steps are testing our current version with pilot customers, expanding customer interviews even further and shipping a fully functional v3 to prove the under-24-hour onboarding promise. 

Cooperation Partner 

• ​​MailFalcon​ 

​​Contact Person​ 

• ​​Jannek Drexl 
  ​jannek.drexl@s.wu.ac.at 

Student Team 

• ​​Jannek Drexl 

• ​Martin Nagy 

• ​Daniel Josef Riegler 

• ​Julian Luckenberger 

• ​Benito Rashid 

• ​Martin Krügler​ 

Project Manager 

• ​​​Diana Lauer​ 

• ​​Theresa Nicolussi​ 

• ​​Dragos-Christian Vasilescu​ 

• ​Caroline Kunesch​