zapCash
Identify duplicate payments. Through AI and the experience of 1500 customers.
Our AI beats any rule-based duplicate payment detection. zapCash offers simplicity of use and 100% better results.
Analyze content instead of manually adapt rules and regulations!
Does this sound familiar to you? If internal processes change, a balance must be found between excluding too large a result set, avoiding “false negatives” and manually adapting known patterns. This is exactly the challenge we have been facing for over ten years and have been able to solve with the help of artificial intelligence – together with the Artificial Center Hamburg.
Well prepared for every audit
Automated features of zapCash
SAP data print
zapCash already knows all necessary data: The extraction works with a reading user, without the need for an SAP transport request. The data remains with you.
AI Preparation
Based on SAP data and our know-how, zapCash refines the data. The result is more than 400 features for our AI algorithms, which map the following, among others:
1. cancellation detection
2. recurring bookings
3. contribution differences
4. duplicate vendor master data
5. manual vs. automated bookings
Collective AI
zapCash already knows the duplicate payment patterns of 1500 companies and applies this knowledge to your data. It learns continuously and automatically based on your results.
Our zapCash AI learns the known patterns of all users and makes them available to all zapCash users.
In doing so, it prioritizes the always too large result sets appropriately and relevantly for the specialist user.
Secure and performant
Hands-On-Features
Document comparison
The detailed view in zapCash compares the essential characteristics of the vouchers to be examined. The user is intuitively pointed to the differences and can thus very quickly arrive at an initial assessment.
Sub-ledger check
To audit the accounts payable sub-ledger, zapCash lists only the most relevant sub-ledger entries, enabling the user to correlate the potentially duplicated documents and the clearing documents.
Audit methodology
The user interface methodically guides the subject matter expert through the highest probability results of the evidence to be reviewed first, providing an initial prioritization. The user can quickly assess.
„On-the-fly“ Filter
Data analyses always generate too large a result set. With our filters, the results can be flexibly adapted to the company context, e.g. according to intercompany transactions, customers, suppliers, automatic bookings and much more.
Evaluation
The audit results can be documented directly. The result of the audit is learned by zapCash and reprioritized during the next AI run. Thus, a continuous further development of the software takes place.
Cash Recovery Plus
zapCash can be extended to include additional cash recovery use cases, such as:
1. input tax not claimed
2. duplicate credit notes to customers
3. unused discount potential
What our customers say
It works!
“We didn’t think it would really work automatically for us because we are so complex and have a heterogeneous system landscape – but it still works!”
– Wolfgang Burr
FAQ
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Das zu prüfende SAP System ist stark gecustomized, die Zeit für vorbereitende Analysen ist knapp, die Datenbeschaffung ist belastend und du hast ohnehin bereits alle Hände voll zu tun. Selbst wenn bereits Datenanalysen durchgeführt werden, müssen die bestehenden Skripte an das zu prüfende SAP angepasst werden. Das alles ist aufwendig und hält das Team von den eigentlich wertschaffenden Tätigkeiten ab.
