I’ve worked closely with multiple shipping aggregators — including Shiprocket and NimbusPost — and now I’m part of the team at Shipmozo.

And honestly, after seeing things from both sides (seller + platform), one thing is very clear:

Most shipping problems are not courier issues. They’re decision issues.

⚠️ What I used to think earlier:

• “This courier is unreliable”
• “That courier has too many delays”
• “COD orders always fail”

But when you actually look at data across thousands of shipments…

The same courier performs:

• great in one pincode
• terrible in another

The real problem nobody explains properly:

Most sellers are still:

• assigning couriers manually
• using fixed priority rules
• or just going with “what worked before”

But shipping doesn’t work like that anymore.

What this leads to :

• Hidden RTO spikes in certain regions
• Inconsistent delivery timelines
• No control over courier performance
• More orders ≠ more efficiency

What changed my perspective

Instead of asking:

We look at:
“Which courier is best for THIS order in THIS location?”

That includes:

• pin-code-level performance
• delivery success rate
• COD risk
• past courier behaviour

This is where AI courier allocation actually makes sense

Not in a buzzword way — but practically:

• Every order gets evaluated individually
• Courier is selected dynamically
• System keeps learning from outcomes

And this solves something very real:
Shipping stops being random

Honest takeaway

Even if you’re not using Shipmozo:

If you're still:

• using fixed courier setup
• or manually selecting based on habit

You’re probably:
losing money without realizing it