sales_ops · travel · workflow

Hotelplan Suisse deploys Generative AI knowledge-sharing chatbot to empower travel experts across 82 branches

Hotelplan's travel experts each specialise in specific destinations; when a customer's query falls outside an expert's area, that expert must consult colleagues, adding delay. For three years the company sought a scalable way to share collective expertise across all locations instantly.

How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Customer holiday query
A customer wants to plan a holiday, potentially requiring expertise outside the assigned expert's specialty area.
Tools used
Google Cloud
Outcome

With the solution being rolled out, Hotelplan expects to accelerate its sales process and serve personalised recommendations faster. A parallel GenAI initiative with Marketing and Content teams is also expected to dramatically speed up creation of location descriptions and blog posts, which previously required copywriters or sales staff and severely limited output capacity.

Results
Time savedin seconds
Source

https://datatonic.com/case-studies/hotelplan-generative-ai/

How we source this →

Grounding & classification
Source type: vendor customer story
24 fields verified against source quotes.
chatbotcontent generationconversational aiknowledge searchragknowledge basenamed customerproduction runtime claimedsource backedtools describedvendor confirmedworkflow describedtravelemployee productivityresponse time reductionthroughput increasevendor customer storycustomer supportmarketing opssales opsrag answering