I’ve been thinking about creating a workflow that detects delivery failures like ‘delivery attempted’ events using AI Copilot. The idea is to have the workflow identify which carrier is handling the package and then automatically send a reschedule request by email or through carrier forms.
I imagine prompting AI Copilot with clear instructions about monitoring the tracking event feed, carrier detection logic, and reschedule triggers could generate this workflow quickly. But I’m curious about the best way to phrase the prompt and how detailed the AI-generated workflows get in practice.
Has anyone here experimented with AI Copilot for this kind of task? What’s your experience like making workflows that automate these kinds of delivery reschedules?
I used Latenode’s AI Copilot to build a reschedule workflow. The key is giving clear prompts about monitoring ‘delivery attempted’ status and mapping carriers to their reschedule methods. The generated flows worked well and saved a lot of manual effort.
You can make it send emails or fill out forms automatically on your behalf. It’s a big time saver. Try it at https://latenode.com
What worked for me was defining the triggers very specifically when calling AI Copilot, like watching exact keywords ‘delivery attempted’ and associating them with exact carrier APIs or email templates. After the initial generation, I tweaked the workflow to handle exceptions but the AI gave a solid base to start from.
One challenge is ensuring the workflow knows how to submit reschedules correctly across carriers since each carrier has different methods. AI Copilot mostly nails the logic and flow creation but you sometimes need custom code blocks for carrier-specific quirks.