How your Restaurant Delivery Service Can Leverage Artificial Intelligence (AI)?

Learn about exceptional restaurant delivery service software powered by AI.

Artificial intelligence (AI) is all over the headlines these days. Just about every industry is scrambling to figure out how they can use AI themselves, with varying degrees of success. As a restaurant delivery service (RDS) owner, you may be feeling some pressure to explore AI yourself.

Good news: We’re way ahead of you, and we can help you get ahead.

At DataDreamers, we’ve been experimenting with AI for a few years already. Our restaurant delivery software already uses AI to make the delivery experience better for customers and restaurants alike.

Here are a few of our restaurant delivery software features that leverage AI:

The Expected Late Filter (ELF)

The ELF’s job is to detect any anomaly or disruption that might slow down the delivery process. This includes kitchen delays, especially large orders, traffic slowdowns, and other unusual variables. The ELF picks up on these possible delays very fast and reports them to the dispatcher immediately. As a result, the dispatcher can adjust the pickup schedule or communicate with the customer right away. For example, knowing about a large order right away gives the dispatcher time to assign a driver with a larger vehicle to the pickup.

Needless to say, a hungry customer is never going to be happy about a delay. But the ELF allows your RDS to manage the customer’s expectations as early as possible. AI empowers faster communication with customers, which is key to soothing their frustrations and protecting your RDS’s reputation.

The Driver Visibility Report (DVR)

In the restaurant delivery business, every minute counts—but tracking all those minutes can be very challenging. Optimizing your time is especially important on Super Bowl Sunday or other big, busy delivery days. As an RDS owner, you’d sure like to know which of your drivers are hyper efficient and which tend to dawdle. The DVR makes it possible to do exactly that.

The DVR is an automatically generated report that shows you exact timing data on each driver. You can see who never misses a delivery, who always tends to be a little late to pickup, and more. This data allows you to allocate your time and resources appropriately, so you can:

  • Reward your most efficient drivers.
  • Identify which drivers need to improve.
  • Figure out exactly where the slowdown seems to happen, so you can train them accordingly.


The DVR also calculates averages, which makes it easy to set benchmarks and expectations for your drivers. That much data collection and processing would be incredibly time-consuming to perform manually. But thanks to AI, all those numbers are right at your fingertips.

Seasonal Fluctuations

Some restaurant delivery metrics remain consistent throughout the year. Others are affected by seasonal changes. For example, during the summer months in a college town, there may be fewer cars parked in front of a popular restaurant. An RDS driver can snag a spot just steps from the front door, making for an impressive “park-enter-exit” metric. But once school’s back in session, that driver has to park two blocks away. The “park-enter-exit” process suddenly takes much longer, which changes the estimated delivery time significantly.

Thanks to DataDreamers’ Advanced Management System (AMS), these changes can be detected and accounted for automatically. You don’t have to worry about manually updating timelines whenever something like this happens. AMS’s AI tools will do it for you.

And these tools are just the beginning. DataDreamers also has an AI-powered fraud filter and special tools for streamlining the management of large client databases. When your RDS uses DataDreamers, you’re tapping into the powers of AI without having to do any of the development yourself.

To learn more about DataDreamers, our other features, and how we use AI, schedule a demo >