make - Jotform - Lexoffice

Automating Ticket Order Invoicing with Make.com for Event Company in Germany

Event Company, a Berlin-based live events promoter, previously spent hours manually processing ticket orders and issuing invoices. With a Make.com automation connecting JotForm to lexoffice, invoices now generate in under 2 minutes—improving cash flow and freeing staff to focus on events.

Automatisierung - TK-Agency.dev - KI Agenten - AI Agends - Zapier - Make.com - Atlassian Support
5–7 hrs/week saved on manual order entry Invoices in 1–2 minutes (vs. 24–48h) 25% faster payments from attendees Zero duplicate contacts in lexoffice
20 Stunden pro Woche sparen - TK-Agency.dev - Automatisierungen
3 Weeks
Make.com
JotForm
LexOffice

Client Overview Eventure GmbH organizes monthly pop-up concerts across DACH. Ticket sales came via JotForm, but manual order processing (20–30 min per batch) slowed down invoicing, delayed payments, and caused duplicate customer records. Challenges Manual parsing of multi-line ticket orders Invoices delayed up to 48h, slowing cash flow Error-prone contact management, leading to duplicates Staff losing 5–7 hours/week on admin work Our Solution We built an end-to-end Make.com scenario that: Captures new ticket orders from JotForm in real time Splits and aggregates multiple ticket/add-on line items correctly Generates and sends an invoice via lexoffice instantly Upserts contacts in lexoffice to maintain clean records Handles errors gracefully (no workflow interruptions) Business Impact Hands-off invoicing: each order processed in <2 min 25% faster cash collection: invoices go out immediately, payments arrive sooner Consistent, accurate billing: all ticket categories and add-ons aggregated error-free Unified customer records: no duplicates, cleaner financial reporting Staff freed up: 5–7 hours/week redirected from admin to event promotion Conclusion Eventure GmbH now runs a fully automated ticket-to-invoice system with Make.com—speeding up cash flow, reducing errors, and scaling effortlessly as event volumes grow.