AI vs. RPA for order entry: what's the difference and which to use

Two tools, one job

If you run an order desk, you've probably heard both pitches. One vendor says a software "bot" can do the order entry your team does today. Another says AI can read your customers' POs and fill in the order. Both promise to end the retyping. They're not the same thing, and they fail in different ways.

This guide explains each one in plain terms, using the vendors' own documentation where we can, and then shows how they fit together for the job most desks actually have: customer POs arriving as PDFs and emails in dozens of layouts, and an ERP that needs clean orders.

What RPA is

RPA stands for robotic process automation. UiPath, one of the biggest RPA vendors, says RPA uses software robots to automate repetitive, rule-based tasks like data entry and moving files. In plain terms, a bot is a recorded set of steps. It opens a program, finds a field, types a value, clicks a button, and moves to the next step, the way a person would.

Microsoft's version is Power Automate desktop flows. Microsoft describes them as its robotic process automation (RPA) capabilities, built for rule-based tasks, and one of its own examples is an employee who automates data entry on an ERP system.

RPA's big strength is that it works with almost any software, because it uses the same screens your people use. UiPath says that is especially useful where systems lack APIs. If you run an old ERP with no way in except the screen, RPA may be the only way to automate it.

It's also common. In Deloitte's 2022 survey of 479 executives in 35 countries, 74% said their organizations were already implementing RPA.

What companies were already using, or planning

Deloitte intelligent automation survey, 479 executives in 35 countries, published June 2022. Executives from a wide range of industries; a survey, not a census.

1. Already implementing RPA74%
2. Already implementing OCR (text recognition)50%
3. Planning to implement AI in the next three years46%
4. No company-wide automation strategy41%

Source: Deloitte Insights, Intelligent automation 2022 survey results.

Where RPA breaks

A bot finds each field on screen with what Microsoft calls a selector. Microsoft's docs say every screen element a desktop flow touches has one or more selectors, and they plan for those failing: you can stack several, and when one fails, Power Automate tries the next one.

Why would a selector fail? Because the screen changed. Microsoft's self-healing page lists the cases: apps and web pages change the hidden names of their elements, or a screen looks the same to a person but its selectors no longer match. It says ordinary retries can't adapt to those changes. Microsoft's newer fix uses AI to find the moved button, and the page warns that it might sometimes pick the wrong element. That is a preview feature, and it only covers some kinds of failures.

For an order desk, screens change more often than you'd think: an ERP upgrade, a new field your admin added, a move to the cloud version, a browser update. Each one can stop a bot until someone fixes it.

There's a second, bigger limit. A bot follows the steps it was given. It can copy a value from a fixed spot on a fixed form. It can't read a PO from a customer whose layout it has never seen, figure out that "Qty" on one form is "Order Amt" on another, or notice that the part number is the customer's number, not yours. That's the hard part of order entry, and it isn't screen work. It's reading.

RPA projects also fail for reasons that have nothing to do with screens. In a 2016 report, EY wrote that it had seen as many as 30 to 50% of initial RPA projects fail, and was careful to add that this wasn't the technology's fault. The common issues it lists are mostly about planning and who leads the project, such as treating RPA as an IT project instead of a business one. That's EY's consulting experience, not a survey, and it's old, but the lesson holds for any automation.

RPA copies what a person does. Order entry is mostly what a person reads.

What AI does differently

AI document reading, sometimes called intelligent document processing, works on the document instead of the screen. It looks at a PO the way a person does: here's the customer, here's the ship-to, here are five lines with part numbers, quantities and prices. A new layout doesn't need a new template.

The important part is that it tells you how sure it is. Microsoft's Document Intelligence docs explain that each field comes with a confidence score, and that a score of 0.95 means the value is "likely correct 19 out of 20 times." Microsoft says you can use that score to decide whether to accept a value automatically or flag it for human review.

Read that again with your order desk in mind. Nineteen out of 20 sounds great until you think about the 20th. On a PO with 20 lines, that could be one wrong quantity or one wrong price on every order. Microsoft is plain about this. It suggests building human review into your workflows, and for sensitive cases "like financial or medical records," it recommends accuracy close to 100%, plus a human review stage for more critical workflows. The same page also notes that not every field returns a confidence score.

So AI is not a "set it and forget it" answer either. Its failures are different from RPA's. A bot stops when something changes. AI keeps going and is sometimes wrong. That's why the design around it matters more than the model.

The third option most people skip: the API

RPA and AI answer two different questions. AI answers "what does this PO say?" RPA answers "how do I get it into the ERP?" But RPA isn't the only answer to the second question, and usually not the best one.

Most modern ERPs accept orders directly through an API, a door built for software. Microsoft's Business Central, for example, documents an API call that creates a sales order, with a field for the customer's PO number. Epicor's Kinetic has one too; we covered it in our Epicor order entry guide. Many ERPs also take a structured import file.

Even RPA vendors say to use the API when you can. UiPath's own docs say API automations usually run a lot faster than screen-based ones and need much less maintenance. The fair catch, in the same docs: API work takes more specific skills to build. That's a one-time cost. Fixing a broken bot after every upgrade is a cost that keeps coming back.

The line is blurring, and that's fine

To be fair to the RPA vendors, they don't sell bots alone anymore. UiPath's document product says it handles semi-structured invoices and purchase orders and passes the data to robots and AI agents, with a step to validate what it pulled out. Automation Anywhere's document automation page claims over 95% accuracy on unstructured data; that's the vendor's own figure. Microsoft is adding AI to its bots, as the self-healing feature shows.

So "AI vs. RPA" is partly a marketing question. The real questions are the same whatever the product is called: How does it read a PO it has never seen? What happens when it isn't sure? How does the order get into the ERP? Who fixes it when something changes?

Which to use for order entry

For most manufacturers and distributors, the setup that works has four steps, in this order:

1. AI reads the order. PDFs, scans, emails with the order typed in the body, spreadsheets. It pulls the customer, ship-to, PO number, lines, prices and dates.
2. Software checks it against your ERP. Real customer? Right ship-to? Do the part numbers match yours, or does this customer use their own? Does the price match the quote?
3. A person approves it. The PO and the draft order side by side, with anything unsure or unusual flagged. Clean orders take seconds. The flagged ones get real attention.
4. The order posts through the API or an import. Not by a bot typing into screens.

That's how we built order entry for a food-equipment manufacturer that supplies national grocery chains: the software reads each customer order and fills it in, their team approves it, and it lands in the system they already run.

When RPA is the right call

There are good reasons to pick a bot:

• Your ERP has no API and no import. Some older systems only have screens. Then a bot may be the only way in. Plan for upkeep, and keep step 3, the person approving, in front of it.
• The input is already clean. If the data arrives structured, like a fixed spreadsheet from one big customer, there's nothing hard to read. A bot or a simple import can move it.
• You already own it. Many companies already have Power Automate through Microsoft 365. For a small, stable task, that may be enough. Our guide to Power Automate for purchase orders covers where it fits and where it stops.

And sometimes neither is worth it. If you get 20 orders a week from a handful of customers, a careful person with a good checklist may be the cheapest answer.

Questions to ask any vendor

1. Show me a PO you've never seen. Bring your messiest one: scanned, rotated, three pages. Not the clean demo file.
2. What happens when it isn't sure? Does it show confidence per field? Who sees the flagged ones, and how fast can they fix them?
3. How does the order get into my ERP? API, import file, or a bot typing into screens? If it's screens, what happens at our next upgrade?
4. What checks run against my data? Customer, ship-to, part numbers, prices, dates.
5. Who fixes it when something changes? A new customer layout, a new ERP field, a new screen. How long does it take, and who pays?

For more on the building blocks, see how to automate order entry and what handles PDFs that vary.