Codyco GTM brain
Codyco sells an AI phone reservation team to hotel groups to recover missed bookings and update hotel systems.
category
Hotel voice AI reservationsmarket profile
- text: Hotel groups lose direct bookings when reservation calls overflow or arrive after hours.
- text: The product competes with hotel voice and guest communication platforms on booking completion and PMS integration.
personas
- title: Director of reservationspains:
- Overflow calls and after-hours requests escape the reservation team
- Inconsistent handling across properties can reduce direct bookings
- title: Hotel group operations or front office leaderpains:
- Phone interruptions pull staff away from guests
- Handoffs and manual PMS entry consume staff time
- title: Hotel IT or PMS integration leadpains:
- An assistant must work with the actual PMS and respect transfer boundaries
- Failed booking or payment workflows create operational risk
icp
- text: European hotel groups operating multiple properties and central reservation or front office teams.
- text: Properties using Oracle OPERA Cloud, Sihot or Apaleo are plausible integration fits; verify each workflow.
message pillars
- text: Recover lost revenue from calls.
- text: Complete the reservation in the property system.
- text: Give staff time back for in-person service.
objections
- objection: Will this work with our PMS?response: Check the specific workflow: Codyco publicly lists OPERA Cloud, Sihot and Apaleo, and assesses other platforms before rollout.
- objection: Will guests get stuck with an AI?response: Hotels can define requests for live transfer, structured handover or human follow-up.
- objection: How can we justify the cost?response: Measure recovered bookings and front desk call volume in a property pilot, then compare with the quoted cost.
competitors
- name: HiJiffywebsite: https://www.hijiffy.com/hotel-voicebot-and-voice-virtual-assistantwhy: Hotel voice assistant and guest communications offer an alternative path to direct bookings.
- name: Flowtelwebsite: https://www.flowtel.ai/guides/ai-receptionist-hotelswhy: Hotel AI receptionist handles calls and can write bookings to a PMS.
keywords
- hotel AI receptionist
- hotel missed calls bookings
- hotel voice reservation agent
- hotel PMS voice integration
- hotel call overflow
- hotel direct bookings
voice
- Direct and operational
- Outcome focused
- Hospitality specific
signals
- text: A hotel group reports missed reservation calls or rising front desk call volume.
- text: A multi-property operator uses a supported PMS and seeks consistent overflow coverage.
stack
- Oracle OPERA Cloud
- Sihot
- Apaleo
pricing
model: unknown
motion
hybridchannels
- website
confidence
mediumFounders
- name: Stefan Schafftitle: Founder/CEOrole: CEObio: Stefan is the Co-founder of Codyco, based in Munich. A veteran data/AI leader, he has delivered multi-million-euro analytics programs for DAX-listed companies and scaled cross-functional teams from 3 to 12. At Motius (2020–2025), he served as Head of Data & AI, acting as Project Owner and Solution Architect on a €2M rebuild of Siemens’ global invoice analytics (10M invoices/month, 1,000+ users) and leading cloud migrations from SAP to Snowflake/AWS/Glue.
- name: Endrit Bytyqititle: Founder/CTOrole: CTObio: Co-founder of Codyco, experienced in building agentic AI products and large-scale data platforms. At Motius, as a Senior Tech Specialist, led a Siemens supply-chain reporting platform integrating 100+ SAP systems. At PRIME, rebuilt analytics pipelines that cut ML runtimes from days to hours. Drove the development of BCG knowledge management platform. Co-founded Open Data Kosovo; delivered civic-tech products, trained dozens of developers in OSS and co-authored open-source projects.
- name: Alexander Schobertitle: Founderrole: Founderbio: Alex is the Co-founder of Codyco, based in Munich. A builder at the intersection of AI, knowledge graphs, and product, he grew a single €60k PoC into an enterprise initiative with €500k+ in signed contracts and a >€1M pipeline, standardizing processes across 17 business units for rollout to 50,000 employees. Earlier at Siemens, he developed one-class anomaly detection for federated learning (PyTorch, Ray) and helped launch the “Tech for Sustainability” program-personally raising €25k and scaling