ecommerce_ops · ecommerce · workflow
Froméo AI cheese butler by Fromages d'ici and LG2 answers 99.77% of user queries with Botpress
With over 1000 local cheeses to choose from and a new scientific cheese classification system to communicate, consumers faced an overwhelming selection experience that passive browsing and static menus could not address.
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 · Taste questionnaire entry
Users initially answer a concise questionnaire to identify their tastes.
Tools used
BotpressGPT-4oNLU
Outcome
Froméo answers 99.77% of user queries and drives users to explore more site content after chatting, replacing passive browsing with an active, guided conversational experience that promotes local cheese production.
Results
Volume99.77%
Grounding & classification
Source type: vendor customer story
26 fields verified against source quotes.
chatbotconversational aiknowledge searchpersonalizationrecommendation systemknowledge baseproduct catalogmetric backednamed customertools describedvendor confirmedworkflow describedagricultureretailautomation ratecustomer satisfactionvendor customer storycustomer supportecommerce opsmarketing opsintake to triagerag answering