For Delivery Route Supervisors ·
What you'll accomplish
You'll use Otter.ai as a running spoken log during your active shift, capturing every exception, decision, and notable event by voice so that your end-of-day report writes itself from real data instead of memory.
What you'll need
At the start of your active shift window (when exceptions start coming in), open Otter and tap the red microphone button. Leave the recording running in your pocket or on your desk throughout the shift.
What you should see: Otter is actively transcribing in the background while your phone screen is off. Troubleshooting: Make sure your phone's battery saver mode doesn't kill background apps. On iPhone: Settings → Otter.ai → Background App Refresh → On.
Every time something happens (a driver calls with a failed delivery, you reassign a stop, you take a customer complaint, a vehicle has a problem), speak a brief verbal note out loud into your phone.
You don't need to hold it up to your face. A normal speaking volume is enough.
Format to use: "[Who] [What happened] [What you decided]"
Examples:
What you should see: When you check Otter, you'll see a running transcript with timestamps for each spoken entry.
Tap stop when your active shift period ends (when the last driver checks in or your exception management window closes).
Open the Level 1 guide: "Generate Your End-of-Day Operations Report." In the AI chatbot (ChatGPT or Claude), paste the raw Otter transcript and add this prompt:
This is a real-time log of exceptions and decisions from my shift today. Extract: total exceptions, key incidents, unresolved items, and write an end-of-day operations report in a professional format for my manager.
What you should see: A polished end-of-day report generated from your actual shift data, not from memory.
Keep the Otter recordings as backup documentation. If any incident is disputed later, you have a timestamped record of exactly what was communicated and decided.
Use these after your Otter transcript is ready: