Using modern software we developed an end-to-end automation platform that removed inefficient processes for a growing commercial ice business.

Data visualization and data management was seemlessly migrated to the cloud.

Hundreds of daily orders are visible in eye-catching dashboards.

Daily currency and metal prices needed to be pulled and used in calculations for unique metrics. We developed an automation process that scraped web data with hand-picked packages in R.

The end result was pushed to Bigquery as the company’s data warehouse.

Useful insights are harvested daily with our custom applications.

Using a variety of machine learning models, we predicted sales demand and implemented it for multiple clients.

Having a software that wasn’t flexible meant we had to create a fully-automated ETL process that never failed.

With our advanced solutions and forecasts, now clients plan their inventory better, allowing investments in other areas.