Built by operators, for operators.

uvend.ai was created by people who know the reporting problem from both sides: data science and day-to-day vending operations.

From limited reports to better decisions

Jason and Eric are data scientists in big tech with more than 10 years of experience. They are also vending machine operators, so they understand firsthand how important sales data is for generating better revenue, controlling costs, and preparing the right inventory before every route.

After feeling the pain of very limited reporting from the Haha API, they decided to develop uvend.ai and make better analytics available to the smart cooler operator community.

The goal is practical: help operators spend less time piecing together reports and more time making confident decisions about products, machines, routes, and growth.

Analytics built around real vending work

Data expertise

We turn messy machine exports into useful signals operators can read quickly.

Operator experience

The product is shaped by the reality of stocking machines, managing margins, and planning routes.

Community focus

uvend.ai is built to help smart cooler operators make better decisions from the data they already have.

Turn vending uncertainty into confident action.

Bring sales, costs, forecasts, stocking templates, picking lists, and route insights into one workflow so every restock starts with a clearer plan.