Practice analysis · Automation
Top Bakkers: why centralisation mattered more than “building a bot”
The public Top Bakkers case describes a large recurring data landscape across 65 bakeries. Boermans Digital analyses which characteristics transfer to other process-selection decisions without presenting the customer result as its own work.
The transferable lesson is not “automate invoices”; it is that high frequency, digital data, multiple systems/locations and central governance can combine into a strong automation case.
What the public case actually states
- The public case describes Top Bakkers as a network of 65 regional bakeries.
- It describes central data exchange and ETL processes, including order and invoice processing and database interactions.
- The published result states that more than one million invoices per month can be processed with 1.5 FTE.
- The source names Korper ICT as implementation partner and Automate as the solution used.
Why this process landscape was automation-ready
The transferable lesson is not the one-million-invoice number by itself. Four characteristics reinforce each other:
- high recurring volume — order and invoice flows repeat structurally;
- digital source data — much of the work is data exchange, ETL and database interaction;
- multiple locations and systems — centralisation avoids local variants;
- operational orchestration — value comes from coordinating data flows, not only speeding up one task.
What the case teaches about process selection
| Signal | Why it matters |
|---|---|
| Frequency | Large recurring volume makes small per-case savings accumulate. |
| Rules | Order, invoice and data-processing steps are easier to automate when rules and exceptions are explicit. |
| Data | Database and system connections enable backend integration instead of forcing every step through a UI. |
| Ownership | A central platform makes standards, monitoring and change control easier to govern. |
| Scale | 65 locations increase the value of a reusable orchestration layer. |
The question is therefore not only “can a robot click this?” but “is the process repetitive, digital and governable enough to automate responsibly at scale?”
RPA does not automatically mean screen robots
The public case emphasises application connections, databases, data exchanges and ETL. The architectural lesson is to use direct system and data interfaces where they are stable, and reserve UI automation for gaps where no better interface exists.
What the case does not prove
- That every invoice process can achieve the same FTE ratio.
- That the stated 1.5 FTE figure was caused by one automation project alone.
- The implementation cost, payback period or ongoing operating effort.
- That every Top Bakkers process uses the same technology.
- That a similar process in your organisation would produce the same outcome without discovery.
Sources and strength of evidence
The facts below come from the listed public source. The surrounding analysis is by Boermans Digital.
Boundary: The published results belong to the Korper/Fortra and Top Bakkers case. Boermans Digital was not the delivery party and uses the source only for independent process analysis.