Still Reacting to Weather? Adapt at Scale with Weather Intelligence

X Partners with Zoba to Improve Demand Forecasting for On-Demand Businesses

When it comes to the on-demand market, profit margins can be incredibly tight.

This is true for on-demand delivery and on-demand mobility companies alike. Whether you’re trying to optimize and understand the placement of scooters on a street corner or offer the best incentives to delivery drivers, there are a million different operational details to consider.

This is exactly why Zoba and have decided to partner. Together, we aim to help on-demand companies better understand and optimize for demand. 

By combining Zoba’s leading demand forecasting and optimization algorithms with’s in-depth weather intelligence, on-demand companies can truly stay a step ahead of the weather. 

And with a deeper understanding of the spikes and valleys of consumer demand, on-demand operations can become far more efficient and profitable. Here’s how. 

Demand Analysis and Weather

Let’s take food delivery as an example. You likely already know that demand for food delivery usually spikes during a storm. 

In fact, we found that 56% of consumers want to preschedule food delivery before bad weather. By understanding when and where a storm will hit, your team could send out push notifications offering customers the ability to pre-order, and then incentivize more delivery drivers to be on the road for the upcoming storm to manage the surge in demand and keep ETAs low. 

And this is true no matter the on-demand industry — whether it’s food delivery or scooter sharing. 

“Demand is impacted directly by weather,” said Daniel Brennan, Cofounder of Zoba. “Understanding weather at the hyperlocal level allows you to better forecast demand. It could be raining on one side of the city and not on the other side. Being able to accurately predict and understand market conditions at the city block level is huge for on-demand companies.”

Increase Revenue with Operational Efficiencies 

For on-demand mobility, Zoba helps companies understand exactly which street corner someone is likely to pick up a scooter for a ride. With this data, on-demand companies can better optimize the placement of assets and how to price them. In fact, a scooter company can increase per asset utilization by 10-50%. 

And with more efficient usage, comes more revenue. Zoba has seen increases in contribution margins that have tripled the speed in which on-demand mobility companies can pay back their vehicles. And now, with the added layer of weather data, operational efficiency will improve even more.

By combining the best on-demand forecasting and optimization models with the best weather intelligence on the market, you can far better understand how your customers will behave — in advance. With this data, your on-demand company can plan ahead to finely control operational decisions and achieve profitable unit economics.

When Two Powerful APIs Combine

This partnership not only drives efficiency and revenue, it also makes it incredibly easy to implement these operational changes on your existing platform.

Zoba’s API, now powered by’s API, can integrate directly into your operational workflow to inform vital decisions and improve planning. Instead of constantly looking at a manual day-today forecast of the weather combined with demand, the data will already be in your platform — informing your daily operations and driving revenue.

With this partnership, customers will now gain improved functionality, including:

  • Real-time demand forecasting
  • Fleet optimization
  • Dynamic pricing

Want better demand forecasting for your company?

Improve Your On-Demand Operations Today

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