Is quadra right for you?
Today, every document, shipment, DDT, CMR and customs declaration takes 5 tools and someone in the back office opening, reading and retyping it into a system — one by one.
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Work out how much quadra saves you in 1 minute
What does your company mainly do?
This helps us estimate the document mix that is typical of your operation.
How many documents does your back-office team handle every day?
Invoices, DDTs, CMRs, B/Ls, PODs, customs declarations: everything someone has to open, read and retype into a system today. A rough estimate is fine.
Which document types does your back office handle?
Select all the ones you handle regularly. The average manual handling time is shown for each type.
How do these documents get into your systems today?
Select everything that happens regularly. Every manual step adds minutes — and error risk — to every single document.
How many people work on these documents?
Count everyone in back office or admin who spends a significant part of the day handling operational documents.
Here’s what you’re losing to manual work
Estimate based on your answers and industry averages.
Hours freed per month
—hours
Yearly savings
—
FTE equivalents
—FTE
people to reallocate to higher-value work — or capacity to grow without hiring
Monthly hours of manual work — whole team
Over 3 years that’s — of labour cost absorbed by work quadra’s agents handle automatically.
“Every arrival comes with an invoice, a DDT and a customs declaration. With quadra, receiving closes in minutes — it used to wait on the back office.”
400+
arrivals a day handled automatically
0
back-office bottlenecks
Don’t trust averages? Fair enough.
The estimate uses industry-average parameters. Tune them to your real numbers and the result updates live.
quadra handles up to 97% of documents automatically. The default (85%) is conservative and accounts for the residual human review time.
Derived from your document mix and the manual steps you selected. Correct it if you know your real number.
Full cost to the company. One FTE works about 1,720 hours a year net of holidays and leave.
How we calculate the savings
- Document hours today = documents per day × 21.7 working days a month × average minutes per document ÷ 60. These are the hours of the whole back-office team, not of a single person: one FTE works about 143 hours a month, so 400 hours is roughly 2.8 people working full-time. The average minutes derive from the document mix you selected (from ~6 min for a DDT to ~15 min for HS codes, values and origins), increased by 7% for every manual step you indicated (manual entry, reconciliations, chasing missing documents…).
- Hours freed = total hours × an 85% automation share, conservative against the 97% measured on quadra’s customers.
- Yearly savings = hours freed per month × 12 × hourly cost, where hourly cost = yearly company cost ÷ 1,720 hours worked.
- FTE equivalents = hours freed per month ÷ 143 monthly hours worked by one FTE.
- Capacity cap if the estimated saving exceeds the capacity of the team you indicated, the calculation is limited to the team’s actual capacity.
Where the parameters come from
The average handling times per document type are conservative estimates based on operational industry benchmarks: for manual invoice and document processing they reference research by APQC and Ardent Partners (benchmarks on time and cost per invoice in accounts payable). The suggested company cost reflects the typical full cost of an admin employee in Italy according to ISTAT data on wages and labour cost; the yearly hours worked per FTE derive from Eurostat and OECD statistics on hours actually worked. This is an indicative estimate, not a quote: the business case is built on your real flows, in a 30-minute call.
Who we are
quadra is the AI workforce for logistics: agents that track shipments, chase missing documents and reconcile every article across the systems you already use. They read invoices, DDTs, CMRs and customs declarations the moment they arrive and turn them into clean data for your ERP. We don’t replace your ERP: we feed it.
Indicative estimate for information purposes: actual results depend on volumes, processes and systems.