Case study · Insurance

Model deploys from five days to five minutes

At a large insurer: the move to API-based models on AWS, plus a freight-sizing heuristic that improved logistics planning.

  • AWS
  • Flask APIs
  • MLOps
  • Heuristics

At Porto Seguro, good models were slow to reach production — a five-day deployment cycle throttled how fast the business could act on them.

5d → 5mdeployment time
~20%logistics optimization
AWSAPI-based serving
The problem

Great models, stuck in the lab

A multi-day deployment process meant every model improvement waited days to ship — and logistics planning relied on rough freight sizing that left efficiency on the table.

The approach

APIs, cloud, and a sharper heuristic

Renan started the company's move toward API-based models and AWS cloud computing, and shipped a freight-size estimation heuristic used in logistics planning.

The result

Minutes, not days

Deployment dropped from five days to five minutes, and the freight-sizing heuristic improved logistics planning by around 20%.

For you

What BIS would do

Closing the gap between a working model and a reliable production system is engineering — API serving, cloud architecture, and the pipelines to trust a deploy. BIS builds that so your team ships in minutes.

Have a problem worth solving?

We start with a conversation, prove the value on a focused POC with your real data, then ship it — measurable ROI, not a model demo.