In today’s highly competitive delivery landscape, where speed and precision are critical, detailed data holds the key to tackling operational inefficiencies. Often, the challenge for businesses isn’t recognizing that problems exist—they’re well aware of issues. The real struggle is identifying where these issues stem from. This is where deep-dive analytics step in, providing both a birds eye view and detailed insights of delivery operations at the same time, that allows managers to pinpoint the root causes of recurring pain points.

General Investigation - Business level insight

Taking a comprehensive, bird's-eye view of overall delivery performance is the first step before identifying the root causes of any issues your operations might face. For instance, an operations manager might start by reviewing high-level metrics such as average delivery time, on-time delivery rate, rider productivity, fraudulent activity alerts, and ongoing trips. This broader perspective helps the manager identify any anomalies that could point to the source of the problem.

Zooming In - Pinpointing the Root Cause 

Once you’ve established a high-level view of your delivery performance, the next step is to dive into specific problem areas. Managers should drill down into granular data, comparing metrics across different regions, branches, or individual stores.
For instance, suppose your company generally maintains an impressive 90% on-time delivery rate across branches, but one particular region is trailing with a 75% on-time rate. This discrepancy would stand out immediately, signaling that specific operational issues are present in that region. 

Order Level Deep-Dive

Lastly, managers can dive even deeper with Roboost to analyze operations on the order or trip level and uncover further insights, so they can:

• Detect Order preparation time and any bottlenecks in the kitchen or store, especially during peak hours.

• Review the time it takes to find an available rider, to uncover potential gaps in resources that might contribute to slower pickups.

• Break down the delivery duration to see where abnormal amounts of time are being spent, like customer serving time or returning to store time.

With an automated DMS like Roboost you can gain insights and analytics throughout every aspect of the delivery process. This allows you to efficiently assess rider-level performance and collect critical data on their activities, enabling you to investigate the root causes of delays and errors with precision.