We helped a well known Logistics company query over a Billion data points per second

4000000

Daily Entries

1000000000

Historical Entries

Problem

Our client wanted to monitor the number and type of objects distributed by country, region and route in real time. On top of this, they wanted to query historical data to analyse distribution patterns. With their current system’s processing power it would take over 7 months of activity to get these statistics for one day.

Challenge

Our client needed accurate real-time monitoring of up to 4 million data points a day, with advanced sampling, as well as the ability to concurrently query and analyse historical data of ~1 Billion data points.

Achievements

With UltraTimeSeries our client successfully queried ~1B data points in under 1 sec. They also leveraged our embedded machine learning capabilities to create a real-time and historic dashboard with search to deep dive into data in an instant.

logistics-case
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Value

Augmented distribution chain monitoring efficiency and planning.

Demo