The "Precise" in "Small, Fast, Light, Precise": Industrial Software Is Moving from Selling Features to Selling Results

An interesting change will emerge in the industrial software industry:
Customers may increasingly care less about how many features your software has, and more about – how much money you can help them make.

Why is that?
In the past, when enterprises bought industrial software, they typically asked:
How many modules?
How many users does it support?
Can it do MES?
Does it have AI?
How many features?
So industrial software companies also got used to a playbook:
The more features, the "bigger" the product; the more modules, the higher the price.
But the question is:
Does more features really equal greater value?
A factory spent 1 million on a system, yet inventory didn't drop, delivery didn't speed up, and equipment downtime didn't decrease.
So how much is that software really worth?

This is also why in the "Small, Fast, Light, Precise" Digital Products and Services Cultivation Guidelines (2026 Edition), the word "precise" is particularly worth attention.
What the document emphasises is not:
"How many features does your product have."
Rather, it is about forming perceptible, quantifiable, tangible results in innovation, quality, cost, efficiency, and green development.

This is essentially changing something very important:
the value evaluation system of industrial software.
In the past, what we sold was:
features.
In the future, what we increasingly sell may be:
results.

For example, instead of telling customers:
"We have an equipment management system."
Tell them:
"This system can help you reduce unplanned downtime by how much."
Instead of saying:
"We have intelligent scheduling."
Say:
"Your order delivery cycle can be shortened by how much?"
Customers may even ask you directly in the future:
"I'll spend 100,000 – how much value can you create for me?"

At this point, the business model of industrial software begins to change.
In the past:
Software → License → Implementation Fee → Project Revenue
In the future, it may increasingly resemble:
Scenario → Effect → ROI → Continuous Payment

This is also why "precise" is actually harder than "small" and "fast."
Because making software smaller and faster to deploy can be solved technically.
But you have to prove:
I truly created value for the enterprise.
This requires connecting the software to the enterprise's real operational data.
Sales, production, quality, equipment, energy…
Ultimately, it all comes down to one question:

Has the business result actually improved?

01The Value of AI Will Also Change

And at this point, the value of AI will also change.
AI is not simply adding a chat box to software.
What is truly valuable is:
Previously, the system could only tell you:
"Equipment anomaly."
In the future, it may tell you:
"This equipment has a high probability of failure within the next 7 days. It is recommended to perform maintenance on Saturday."
Previously, the system could only tell you:
"Order delayed."
In the future, it may further tell you:
"Adjusting the production sequence of these 3 orders can reduce the delay probability."
And further still,
it may even execute directly for you.

At this point, what software sells is no longer just information.
It is:
judgment, decision, and even action.

02Small, Fast, Light, Precise – Each Link Connected

So the logic of "small, fast, light, precise" is actually a chain:
Small – focus on one specific scenario.
Fast – get the enterprise using it quickly.
Light – reduce deployment and usage costs.
Precise – ultimately prove that it truly creates value.
And "digital intelligence" further raises the value on this foundation.

Therefore, the core competitiveness of industrial software in the future may not be the number of features, but "value density."
Using less software and lower cost,
to solve more specific problems,
and create more certain results.

At this point, a bigger question arises:

If industrial software truly moves from "selling features" to "selling results," can the industrial software companies that were best at custom projects continue to make money the same way?

In the next issue, we discuss this possibly cruellest question:
Who will be eliminated by "small, fast, light, precise"?