Your team isn't
slow. Your
processes are.
Manual back-office operations cost DACH SMEs hundreds of thousands of euros every year — most of it invisible on the P&L. We did the research.
Annual waste · avg. DACH SME · 500 orders/mo
€152K
in direct labour, error correction, and missed opportunities
What is manual operations costing your business?
Cost per order
€28
incl. labour + rework
Annual processing cost
€169K
direct labour only
With Rheono
€17K
~90% reduction
Annual savings
€152K
recovered per year
4%
average error rate in manual B2B order processing. Every 25th order is wrong — and fixing it costs 50–125% of the product value.
Ceymox / APQC research
40%
of your ops team's working week is spent on manual data entry and order handling. That's two full days. Per person. Per week.
Conexiom B2B Operations Study 2025
52%
of B2B buyers have switched suppliers due to a poor digital ordering experience. Your manual process is a churn risk hiding in plain sight.
B2BWave / Sana Commerce 2025
€50–150
per manual order processed
Labour & time drain
Every manual order takes 20–30 minutes. Staff spend up to 40% of their week entering data that generates zero revenue.
50–125%
of product value to fix one order error
Error correction & rework
A 4% error rate means 1 in 25 orders is wrong. Wrong SKU, wrong quantity, wrong price.
2–3h
lag between stock change and system update
Overselling & stock failures
Manual inventory updates create a window where the same SKU can be sold twice. Backorders and angry customers follow.
€200K
lost on €10M annual payables
Missed early-pay discounts
Suppliers offer 1–2% discounts for fast payment. Manual invoice teams miss the window — recovered instantly with automation.
€50K+
per additional ops hire as you scale
The growth ceiling
Manual processes cap at ~150 orders per ops person per month. 2× the orders = 2× the headcount.
€1 → €100
the cost multiplication of unchecked bad data
Compounding data debt
It costs €1 to prevent a data duplication — and €100 to fix it downstream. Bad data propagates across every system.
Sources: Gartner (data quality cost) · APQC / Conexiom (cost per order, time lost) · Ceymox (error rate) · Sirius Decisions (€1:€100 ratio) · IBM Institute for Business Value 2025 · B2BWave / Sana Commerce (buyer churn 52%)