Manually retyping data between systems: the hidden time sink — and how to remove it

Most small and mid-sized companies today don’t run on one system — they run on five: an e-shop, a CRM, accounting, a warehouse app, and a handful of spreadsheets. Each does its own job well. The problem lives in between them — the point where a new e-shop order doesn’t reach accounting on its own, but instead gets retyped there by hand every morning.

What this problem looks like in practice

It’s work nobody has in their job description, yet it eats hours every week:

• Orders get retyped from the e-shop into the accounting software.
• Contacts and enquiries get copied from email into the CRM.
• Invoices get keyed by hand into the warehouse app or an Excel report.
• The same field (address, company ID, price) lives in three systems and is fixed separately in each.

It sounds harmless. Added up over a year, it’s often several person-weeks of work that creates nothing — it just moves numbers from one window to another.

What it actually costs you

The direct cost is time: when one person retypes data two hours a day, that’s roughly ten hours a week — a quarter of a full-time role. On top of that come the costs that never show up on a payslip:

• Typo errors — a wrong price or address someone expensively untangles later.
• Stale information — by the time the data is retyped, the report is already yesterday’s.
• Fragility — when “that person” is on holiday, the process stops.

How it can be fixed

There are two levers, and they work best together:

1. Connect the systems directly (integration). If your apps have APIs, they can be wired so data passes between them on its own. An order created in the e-shop shows up in accounting without a single keystroke.
2. Point AI at the unstructured inputs. Not everything arrives through a tidy API — plenty of inputs are emails, PDF invoices, and scans. Here AI can read the document, pull the right fields, and route them where they belong. That’s exactly what our UnifyIQ platform targets.

Running it in the cloud (e.g. on AWS) then makes sure these flows run reliably and scale with you — no server humming under a desk.

A concrete example: a company took orders by email and retyped them into its ERP — two hours a day. After deploying automated email reading with a check against the price list, that dropped to a few minutes a day for the exceptions that need a human eye. The rest runs quietly in the background.

How SynapseCore helps

We’re not a big shop with a long day-rate menu. We’re a small senior team that uses AI across the entire delivery process — from analysis through development to testing. That lets us design and ship this kind of integration in weeks, not months, and at a fraction of the scope a large vendor would bill — for the same quality of outcome.

We always start with a free consultation where we find the one place manual retyping hurts most, and calculate the payback before building anything.

Where does data still travel “through the keyboard” in your company? Get in touch for a no-obligation 30-minute consultation.