Why Train Food Delivery Feels Unreliable

Is it really just bad service?

Ordering food on a train sounds simple.

You select your station, place the order, and expect it to be delivered to your seat as planned. The idea feels convenient, and most of the time, the delivery itself is on time.

But even when the timing works, something else doesn’t. And that’s where the experience starts to feel unreliable.

What I experienced repeatedly

I’ve ordered food on trains multiple times. And something consistent kept happening.

Out of two items:

one would be correct
the other would be wrong

Not once. Not twice.
But almost every time.

At that point, it stopped feeling like a one-time mistake. 

It started feeling like a pattern.

One situation that explains it clearly

In one of my recent orders:

I had ordered:

• 1 classic corn – ₹119
• 1 cheese garlic bread – ₹169

Total (after discount): ₹291

But what I actually received:

• 1 classic corn – ₹119
• 1 classic bread stix – ₹119

Revised value: ₹231

That’s a direct mismatch — both in item and price. And this wasn’t just about getting the wrong food.

It was about:

• paying more
• receiving less
• and having no immediate alternative

On a train, you can’t just reorder or replace it.

You adjust.

Where does it actually go wrong?

The process, on paper, seems structured.

• Order is placed using PNR
• Restaurant prepares the food
• Delivery is timed with station arrival

And in most cases, the delivery person still reaches on time. Which makes the issue more specific.

If:

--> the timing is accurate

--> the order is placed correctly

Then why:

--> Is the order not being verified before handover?

--> Does the same mix-up keep repeating?

If the system is working in parts, why is it failing at something basic?

What are we not seeing?

It’s easy to attribute issues to:

• network limitations
• coordination challenges
• moving train conditions

And those factors do exist.

But they don’t explain this:

Why is a basic verification step being missed so often?

Even in a complex system,

some things should remain simple.

And checking an order before delivery is one of them.

This is where it gets more inconsistent

I noticed something else.

When I ordered through a third-party app (Confirm Ticket via Swiggy):

• I raised the issue through email
• Shared bill proofs and details
• But the issue was not resolved

However, when I ordered directly through Swiggy:

• I was able to raise the issue through chat
• I did receive a refund

But even then:

-->  it was only partial (₹126)

--> not matching the actual loss (~₹60 + inconvenience)

So what is the real issue here?

Now the problem doesn’t look like just a delivery mistake.

It starts to look like inconsistency in:

• support channels
• accountability
• resolution standards

Because:

• same type of issue
• different platforms
• completely different outcomes

Why does it feel so frustrating?

Because this isn’t a flexible situation.

On a train:

• you don’t have alternatives
• you depend on that one delivery
• you expect it to be right

And when it isn’t, it doesn’t feel minor. It affects the entire experience in that moment.

And then comes the after-effect

Even after raising the issue:

• one case remains unresolved
• another gets only partial refund

So the system responds —

but not consistently, and not completely.

And that leaves a gap.

How common is this, really?

If this has happened multiple times to one person,

it’s unlikely to be rare.

It raises a few obvious questions:

• How many others experience the same thing?
• How do they deal with it?
• Do they just accept it and move on?

And more importantly,

Why does something so repetitive remain unresolved?

So what is the real issue?

It’s easy to point at:

• the restaurant
• the delivery person
• the platform

But the issue doesn’t sit in one place.

It sits somewhere between:

--> process

--> coordination

--> and accountability

And when that “somewhere” is unclear,

the outcome keeps repeating.

I don’t think this is just about incorrect food items.

It’s about how a system can appear to work,

yet still miss something essential.

Not because it’s complex,

but because something simple is being overlooked.

Not everything needs an answer.

“Maybe it just needs a second thought.”