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Market Study · Packaging Industry · 2026

Why 80% of customer orders are still typed by hand — and what is changing right now.

Insights from a series of in-depth interviews with sales operations leads, managing directors and SAP owners across the DACH packaging industry.

From a Swiss folding-carton site with 3,000 orders, through a mid-market manufacturer with 25,000, to an international pharma packaging specialist with 28,000 orders per year — five patterns surface in every single conversation.

PDF study · 12 pages · DACH interviews
80% manual into the ERP
60Min per order
Market Study · 2026
Sales order intake in the packaging industry
In-depth interviews with sales-ops leads, MDs and SAP owners across the DACH region.
70%+
Orders arrive via email with PDF
Phone up to 25% in SME mix
5–60Min
Effort per manually keyed order
depending on complexity
80%
Volume from the top 50 customers
EDI live with only 4–5 of them
3 – 28k
Orders / year — range of interviewees
SME to enterprise

Guided interviews paired with operational deep dives

Eight focus areas per conversation — from current-state process through inbound channels and volume to the ideal solution picture.

01Role & ownership
02Current process
03Inbound channels
04Volume & seasonality
05Team & effort
06Past attempts
07Priority 6–12 months
08Target solution
3.000
Social cooperative (SME) Orders per year on an SME ERP, with a high share of phone orders.
25.000
Mid-market manufacturer Orders per year, with an ongoing ERP migration to an industry-specific platform.
28.000
International pharma packaging specialist 20,000 orders handled on SAP, plus 8,000 added through a newly onboarded plant.

Five patterns we found in every single interview

Regardless of company size, location or ERP system, the same five patterns repeat. If you work in the industry, at least three of them will sound very familiar.

01
70%+ Email · PDF

Email with PDF dominates — EDI remains the exception

Across every conversation, the share of orders arriving by email lands between 70% and well above. Phone still matters up to 25% in the SME mix, while EDI typically only covers a handful of major accounts.

Pharma sales ops: EDI only with 4–5 out of 350–400 active customers — top 50 customers carry 80% of volume.
02
5 – 60 Min / order

Manuelles Erfassen kostet 10 bis 60 Minuten per order

Standard order, unchanged item: 5–10 min per line. With all checks, master data and filing: 10–20 min. More complex orders with version checks and price clarification: up to a full hour.

Scaling becomes purely a headcount question — doubling volume is "simply not feasible from a resource standpoint".
03
3 + 1 Use cases

Three (actually four) use cases — the same everywhere

Whether folding cartons, pouches or roll stock: orders almost always fall into the same categories — unchanged reprint, revised version, new SKU and contract / call-off.

Pharma converter: 14,000–15,000 orders per year are "unchanged reprints" — orders that could be processed almost blind today.
04
Master data

The real complexity is not in the PDF — it is in the mapping

Customers order with their own material number, not the internal one. The same customer material number can even be reused across different customers — the actual work is mapping it onto the internal print image, plant and ship-to.

This is exactly where classic, template-based solutions fail — and where LLM-based IDP platforms shine.
05
3 / 3 ERP migrations

A new ERP does not solve the problem

Three of the interviewed companies are currently in an ERP migration. In none of those projects is intelligent processing of inbound PDF orders part of the standard scope.

Several interviewees deliberately set up sales-order intake as a second, standalone project after ERP go-live.

5 minutes or a full hour? Both — depending on the order type.

The effort figures from the interviews are remarkably consistent across all participants.

Standardauftrag Unchanged item — per line
5–10 min
With all checks Master data, filing, standard validation
10–20 min
Complex order Multiple lines, version check, price clarification
up to 60 min
"That would simply not be feasible from a resource standpoint. Processing is one thing — actually working through them is a second problem." — Head of Order Processing, Swiss packaging company

Four order types — three of them already automatable today

At the interviewed pharma converter, 14,000–15,000 of roughly 20,000 orders per year fall into the "unchanged reprint" use case — orders that can technically be processed almost "blindly" today.

~72%
unchanged reprints
(14–15k of 20k)
Unchanged reprint
Item and print image stay the same. Largest share of volume, simplest case, perfect for automation.
Revised version
Existing item with a new logo, spec or print-data revision. Pre-press review must be looped in.
New SKU
Completely new item. Master data, print files and plant scheduling have to be set up first.
Contracts & call-offs
Pre-produced quantities released on fixed delivery cycles. Highly consistent, highly automatable.

A pharma converter in the DACH region

Representative of a whole class of similar cases: an international folding-carton manufacturer with a strong pharma focus, whose process we walked through in three back-to-back sessions.

26people
in pharma sales operations
16of them
working directly in order entry
28k/year
orders including the new plant (20k + 8k)
4–5on EDI
of 350–400 active customers connected via EDI
It cannot be the goal to bring even more typing work in. We want to focus on customer advice and communication — that has to be the main business.
Abteilungsleiter in pharma sales operations

Three phases from happy path to edge case

1
Phase 1 — Happy path
Unchanged reprints fully automated
Extract, validate against SAP master data and create the sales order directly via API — exactly like the existing EDI flow, just for email PDFs.
2
Phase 2 — Edge cases
Vorgefüllt, mit Human in the loop
Version changes and new SKUs are pre-filled as far as possible. The agent validates the open points and approves.
×
Deliberately out of scope
Prices — only once the source is fixed
As long as price lists live decentrally in Excel and SharePoint structures, AI cannot fix this — only a unified source can.

97% on first contact — 99%+ from the third order onwards.

In the live demo we worked with real orders from day-to-day operations. Per data point — material number, delivery date, quantity, ship-to — individual thresholds can be configured so that critical fields never pass without human confirmation.

97%
Cold start

On first contact, no training

On the very first order in a given layout — measured on the field level, without a customer-specific model.

99%+
from order 2–3

Realistic from the second run on

Once the layout has been seen two or three times — configurable with custom thresholds per data point.

Three sentences that explain a lot

That would simply not be feasible from a resource standpoint. Processing is one thing — actually working through them is a second problem.
Head of Order Processing Swiss packaging company
Comparing the material number — that is the indispensable data point. It is also the first check we run.
Head of Sales Operations Pharma packaging specialist
It cannot be the goal to bring even more typing work in. We want to focus on customer advice and communication.
Head of Sales Operations Pharma packaging specialist

Three decisions most converters end up making

If you found yourself nodding along — welcome to the club. Most packaging companies we speak with end up making three very similar decisions.

First

Sales-order intake as its own project

Not bolted onto the ERP programme. The leverage is too large and too specific for a standard module.

Second

Start with the top 20–50 customers

They typically carry 70–80% of volume. Edge cases are deferred on purpose.

Third

More advisory time — not less headcount

Competitive pressure (including from Asia) comes from service, not from typing. The goal is quality and time with customers.

The full study as a PDF.

Interviews, effort metrics, use-case distribution and a pharma deep dive — concise enough to read, share and bring to a team meeting.

Original quotes from the interviews
Effort figures and volume ranges from interviewees
Three-phase target picture from the pharma deep dive
Three industry takeaways for your own order intake

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