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How Uber and On-Demand Companies Drive Revenue With’s Predictive Weather Platform

When Uber selected earlier this year to integrate across their platform, there was a lot to talk about. After-all, at the time of the announcement, the company had just recently released Q4 earnings of more than $4B in revenue.  But outside of just the “PR announcement,” how exactly can Uber leverage’s weather API? What advantages can provide to all on-demand companies from ride sharing to delivery? We wanted to dig in a bit further to explore.

First, let’s recap the details of the Uber deal:

  • Uber signed into a multi-year agreement with
  • will be integrated across the Uber platform
  • will help illuminate the operational impact of weather elements such as rain, snow, winds, fog, temperature, air pollution…etc

What is it about’s proprietary technology that stands out?

There are a few core things to highlight as to why is so critical at the enterprise operational level for all on-demand companies:

  • Workflows and decisioning, not the forecast: allows Uber to make decisions in advance and in real-time. The software and API offerings allow teams to automate workflows and make business decisions seamlessly instead of worrying about the forecast.
  • High resolution, minute by minute: On-demand companies need weather intelligence every minute of the day at a hyperlocal level. Sounds easy, right? The truth is, the compounding impact of getting granular data updated in real-time has a multiplier effect on your operations, cost savings, and revenue opportunities. We’re talking an order of magnitude. If this is something you’ve never considered seriously, let us show you the difference it can make. It never hurts to know.
  • Team alerts and single source of weather truth: One of the most frustrating things about weather data at the enterprise level is when it comes from multiple sources. The data never lines up correctly, there’s always confusion, and bad things happen. By having a single trusted source of weather impact truth with automated team messaging and alerts, your company can ensure everyone is working off the same data, recommendations, and protocols 24/7.
  • Historical weather modeling: In order to best understand current and future operational opportunities, you first have to understand the past. By leveraging’s Weather for AI (WAI) you can generate the most accurate historical weather information for millions of locations all around the globe. You can then take those historical learnings to utilize AI-driven insights, train your own models (or use ours), and predict future weather’s impact on your business.

What other on-demand companies in addition to Uber are powered by We work with amazing companies including Rappi, Swiggy, Via, Drizly, and more from all around the globe:


Finally, what types of use cases can your on-demand team use with

You can be using your weather data partner to power decisions around operational efficiency, revenue testing and expansion, and cost saving initiatives. Here are a few examples:

  • Predictive algorithm training: With the right weather intelligence, on-demand companies can know exactly when demand is going to surge and level off, allowing them to proactively communicate with both the demand and supply side and start optimizing routes and staffing for maximum efficiency.
  • Calculate offers in advance: All you need is time, and even a few extra hours can make a tremendous difference in the ROI of a marketing or customer product offering campaign. Weather based customer acquisition, retention, and upselling is one of the most effective mediums to generate results, and your weather data should be at the core of your automated marketing campaigns.
  • Customer Acquisition: Use real-time and predictive weather for direct response to decrease CAC by 20%
  • User Incentive Programs: Increase ARPU by 10% with weather based user programs
  • Demand Side ETAs: Improve customer ETAs by 25% during specific weather events. Communication is key for increasing trust, and the more your supply and demand sides trust you, the more engaged they’ll be with more attractive LTV cohorts. Having the right weather data in advance allows you to better communicate earlier and more often with both side of your marketplace, including alerts, delays, safety risks, recommendations, and more.

If your on-demand company isn’t utilizing predictive weather insights as a core aspect of its operational strategy, then you’re missing out. Stop wasting time being inefficient, losing out on new revenue streams, and getting burned by unnecessary costs!

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