Mobility

Track, troubleshoot and optimize your fleet

Predict arrival times. Avoid costly delays. From logistics to surge pricing, stream processing is transforming urban mobility. Learn what real-time automation can do for you.


Multiple scooters parked outside.

What can you build with Quix?

Asset tracking

Some of the most valuable assets in your business are deployed far beyond warehouse walls. Monitor your fleet to produce real-time visualizations for operational teams. Event-based notifications alert you to traffic, weather and delays. Automate responses for fulfillment timelines and trigger messages to downstream customers.


Route optimization

The data you need to plan and adapt your mobility solution is out there — it’s just stuck in silos. Quix unifies data in streams that are relevant to a delivery or asset. Use ML to calculate the most efficient journey, accounting for traffic and demand. Make smarter loading decisions, weigh speed against cost factors, and even calculate CO2 emissions.


Arrival prediction

Customers hate waiting. But there’s a proven technique to reduce frustration: status updates. Stream processing helps you share credible, precise arrival times with your customers. This reduces delivery wait time to improve driver productivity. Use ML to compare predicted progress against actual progress to identify wasted minutes.


Operational efficiency

Your customer service hub is only as good as their information. When data is locked into historical reports, operators can merely react to problems. Quix gives service leaders up-to-the-millisecond data to make better decisions. Layer in ML and automation for decision support and troubleshooting.


Surge pricing

The busiest times don’t have to be painful — they can be more profitable with surge pricing, while also dialing back some peak demand. Uber uses stream processing to implement surge pricing and entice more drivers to work during peak periods. Quix makes it easy for companies to predict and respond to peaks and dynamically change pricing or incentives.

Multiple scooters parked outside.

Changing the mobility industry

Quix was founded by Formula 1 engineers who live and breathe speed and efficiency. They engineered a platform to harness the power of live data — and the mobility industry is at the forefront of the streaming data revolution.

By understanding your assets, changing conditions, and demand peaks, you’re ready to outperform the competition. Quix makes it possible for mobility companies of any size to better operate their fleets.

Ready to learn more? Read our case study that empowers a single data scientist to accurately predict fleet availability, taking into account weather and demand fluctuations.

TRUSTED BY DEVELOPERS AT:
Featured image for the "How to fix common issues when using Spark Structured Streaming with PySpark and Kafka" article published on the Quix blog
Ecosystem

How to fix common issues when using Spark Structured Streaming with PySpark and Kafka

A look at five common issues you might face when working with Structured Streaming, PySpark, and Kafka, along with practical steps to help you overcome them.
Featured image for the "How to fix common issues when using Spark Structured Streaming with PySpark and Kafka" article published on the Quix blog
Words by
Steve Rosam
Featured image for the "Quix Streams, a reliable Faust alternative for Python stream processing " article published on the Quix blog
Ecosystem

Quix Streams—a reliable Faust alternative for Python stream processing

A detailed comparison between Faust and Quix Streams covering criteria like performance, coding experience, features, integrations, and product maturity.
Featured image for the "Quix Streams, a reliable Faust alternative for Python stream processing " article published on the Quix blog
Words by
Steve Rosam
Pipeline diagram for data enrichment pipeline
Tutorials

How to enrich a stream of data in real time with Quix and Redis

Learn how to enrich real-time sensor data streams by looking up device coordinates in Redis and appending them to the data stream using Quix.
Pipeline diagram for data enrichment pipeline
Words by
Steve Rosam
TRENDING NOW

Why the data pipeline is changing everything

Find out why analysts and market-watchers agree that traditional data processing must be replaced by stream processing. It’s happening now as innovators embrace new opportunities for greater personalization, automation and revenue.

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