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Manufacturing

The supervisor is next to the machine, not the screen

Production decisions get made where the work is. IFS holds the answer, but reaching it means walking to an office, and by then the decision has already been made on instinct.

Book a demo What you can ask

How does conversational AI help manufacturing teams on IFS Cloud?

NgageChat gives IFS Cloud manufacturing teams a conversational interface to production data. Supervisors ask about shop order progress, material shortages, scrap and work centre load in plain language from a phone, and can release shop orders or report operations — written back to IFS through the OData REST API with a confirmation step.

Last reviewed 3 August 2026 · NgageChat by EX10

Who asks what

The people who would actually type into it

Production supervisor

  • Which shop orders are short of material?
  • Release shop order 40122
  • What is running on line 2 today?

Planner

  • Create a shop order for 200 of part 55010 due 18 August
  • Which orders are late against the schedule?
  • How much of part 61190 is available after reservations?

Quality

  • How much of part 55010 did we scrap last week?
  • Show scrap by reason code as a pie chart
  • Attach this inspection photo to shop order 40122

Operations manager

  • What is our on-time completion this month?
  • Which work centres are the bottleneck?
  • Break down output by site

Today

Where the time goes

The people with the answers are not the people with the questions

Planners can navigate IFS. Supervisors, setters and line leaders mostly cannot, and they are the ones standing next to the problem when it appears.

Everything routes through one terminal

There is a PC in the office and a queue in front of it. Whatever cannot be done there gets written on paper and entered later, if at all.

Decisions outrun the data

A changeover gets decided in ninety seconds. Any answer that takes five minutes to retrieve arrives after the decision has been made.

With NgageChat

What changes

  • Shortage and progress questions answered from the floor, on a phone
  • Shop orders released and reported without walking to a terminal
  • Scrap and quality data captured with the photograph attached
  • Fewer decisions made on memory because the data was too slow

Start here

The areas that matter most for this team

Manufacturing & shop orders

“What is the status of shop order 40122?”

See what it can do

Inventory & stock

“What is the stock balance for part 74821 across all warehouses?”

See what it can do

Customer orders & sales

“What is the status of customer order 5512?”

See what it can do

Elsewhere in the suite: When a question becomes a screen people need every day, NgageCode turns it into a real IFS-connected app. build a durable shop-floor app.

FAQ

Manufacturing questions

Can NgageChat release a shop order in IFS Cloud?
Yes, using the IFS bound action, and only if the signed-in user’s permission set allows it. IFS applies its own validation rules, so a release that would fail in Aurena also fails through chat — with the actual IFS error explained in plain language.
Does it work on a phone in a plant?
It runs in a mobile browser, so there is no app to deploy. It does need a connection to reach IFS, since every answer is read live rather than from a cached copy.
Will it slow IFS down?
It makes ordinary OData REST calls, the same class of request Aurena makes. Query volume is comparable to a person using the interface, not a bulk extract.

Other industries

Maintenance & EAM Field service Supply chain Energy & utilities

Early access

See NgageChat answer a question from your own IFS environment

A 30-minute session: bring one real scenario — an overdue work order list, a fault report, a supplier lookup — and watch it run end to end. No slideware.

Book a demo See how it works