From 1,600 to 8,500+ active restaurants in 15 months with Nekt
About
Brendi lets restaurants run their own WhatsApp delivery channels instead of paying marketplace commissions. To scale, they had to unify data that lived in four disconnected systems.
Company size
1-100
Industry
Delivery & restaurant tech
Results
4 → 1
scattered databases unified into one trusted model
84
pipelines from raw JSON to a clean dimensional model
111
active pipelines running the business today
The challenge
Brendi's data was fragmented across Firestore, MongoDB, Supabase, and BigQuery: dozens of collections, billing systems, campaign engines, and bot conversations, all disconnected. There was no single view to run the business on.
What they built
84 pipelines turning raw JSON documents into a clean dimensional model
An AI bot analytics engine tracking conversation state, intervention confidence, and post-order analysis
A dual marketing engine separating scheduled from AI-driven campaigns, with attribution across WhatsApp touchpoints
Reverse ETL pushing curated data back into Supabase and AlloyDB, turning the lakehouse into an operational hub
AI observability for bot-to-human escalations, with confidence scores and explanations
111 active pipelines today, feeding everything from abandoned-cart recovery to ban-prediction models
"Thanks for solving our pain of centralizing data so well, in a way that's simple and accessible to everyone in the company."
