Proof & Math


The Ordware system operates in live production in Hungary as part of the rendeljitt.hu service.

This is where real-world validation took place.


The objective of deployment was:

  • to operate in a real environment
  • to collect real data
  • to identify weaknesses and errors
  • to validate system stability


Development started in Spring 2020,
and the system has been continuously improved based on real client feedback.


The system has been in active operation for 28 months.


The primary validation segment was hospitality,
as it represents one of the most complex micro-business environments.

“If it works in hospitality, it works everywhere.”


Measured operational data

Metric Value
Total clients 12
Total POS / drawers 17
Avg revenue / client USD 320,840
Total client months 254
Total transactions 265,180
Total turnover USD 3,850,084
Cash USD 1,272,198
Cash ratio 33%
Card USD 2,101,602
Card ratio 55%
SZÉP card USD 438,141
SZÉP ratio 11%

Bank revenue (measured)

Revenue Type Amount
Total bank revenue USD 62,652
Account maintenance fees USD 9,063
Cash deposit fees USD 6,361
Payment fees (IC++ ~1%) USD 21,016
Bookkeeping fees USD 445
Transfer fees (~0.1%) USD 2,668
BUBOR-related benefit USD 23,100

Unit level

  • Bank revenue / client-month: USD 247
  • Projection (1000 clients / year):
    → USD ~2.96 million

Marketplace revenue

The bank controls the sales channels (webshops, ordering applications, digital interfaces), therefore it can charge commission on transactions.


Assumptions (conservative):

  • 10% of client turnover flows through these channels
  • 10% commission is applied


For a micro client:

  • Annual revenue: USD ~320,000
  • 10% flow → USD 32,000
  • 10% commission → USD 3,200 / client / year


At 1000 clients:
→ USD ~3.2 million / year marketplace revenue


Conclusion

  • Core banking revenue: ~USD 2.96M
  • Marketplace revenue: ~USD 3.2M
  • Additional revenue from increased pricing: ~USD 0,568M

→ Total: ~USD 6.7M / year / 1000 micro clients


Summary

If the bank had provided the system free to these 12 clients, it would have generated:
→ USD 62,652 revenue over 26 months


Operating costs

  • The system is highly stable and user-friendly
    → required minimal support
  • Average data usage: ~5–10 MB / day / client

Operating cost approaches zero, therefore:
→ Revenue ≈ Profit (near-zero operating cost)


Data asset formation

The bank has visibility into every economic event.
It sees what the client sold and at what exact time.
It sees inventory levels, payment methods, and customer behavior.

This provides complete operational transparency and enables real-time decision-making and lending.