Order-to-Cash 5.0
With Artificial Intelligence, Data & Smart Assistants
Use the potential of data and network effects to significantly improve the effectiveness of your O2C strategy. With the experience of several hundred million consumer transactions for various business models and industries, the collect.AI platform provides unique insights and analyses the success parameters for the most efficient O2C process – tailored to each of your customers.
Data models and quality
More Data Across the Network = Greater Precision, Better Decisions, Predictable Results
The isolated AI strategy is a strongly limiting factor and competitive disadvantage for companies.
Data silos within an organisation and the lack of networking between companies and sectors severely limit your O2C performance potential. Your own benchmark is only as good as your data and the insights gained from it.
The value of a network increases in direct proportion to its size.
Network effects and qualitative data increase effectiveness exponentially.
By using a cloud AI platform, you eliminate internal data silos and benefit from network effects as well as continuously enriched and current data.
The value of the network increases through data diversity and quality squared.
Every transaction in the network increases the O2C efficiency of each participant.
Based on the experience of more than 100 million transactions, 10 million consumer data and various business models, collect.AI is able to identify the success parameters for the most effective O2C process - for each and every single one of your customers.
The COmbined data pool at COLLECT.AI creates a leveraged network effect.
The isolated AI strategy is a strongly limiting factor and a competitive disadvantage for companies.
Data silos within an organisation and the lack of networking between companies and sectors severely limit your O2C performance potential. Your own benchmark is only as good as your data and the insights gained from it.
The value of a network increases in direct proportion to its size.
Network effects and qualitative data increase effectiveness exponentially.
By using a cloud AI platform, you eliminate internal data silos and benefit from network effects as well as continuously enriched and current data.
The value of the network increases in proportion to the square of the number of users in the network.
Every transaction in the network increases the O2C efficiency of each participant.
Based on the experience of more than 100 million transactions, 10 million consumer data and various business models, collect.AI is able to identify the success parameters for the most effective O2C process - for each and every single one of your customers.
THE COMBINED DATA POOL AT COLLECT.AI CREATES A LEVERAGED NETWORK EFFECT
AI modules from collect.Ai
The Effectiveness of AI Assistance Systems
Full control
5 Steps to Reach A Fully Autonomous Receivables Management
Determine the AI deployment level and select the desired level here.
EU AI Act Ready & TÜV (GDPR) certified
Data Is a Matter of Trust
Since 2016, collect.AI has been making a significant contribution to the use of AI in receivables management. We are part of the Aareal Bank Group and it is our mission to enable European companies to optimise cash flow across the board with the help of AI. Customer data of the highest quality and actuality are the key elements for this. Processing this data is an absolute matter of trust. collect.AI is EU AI Act ready and GDPR-certified by TÜV Saarland.
AI technologies & methods
Our AI Tool Box
Learning
With this approach, our AI learns through interaction with data. It optimises actions to increase their effectiveness. From the results, the AI derives the most effective strategies to improve our results and maximise the success of the measures.
In this method, our AI analyses human speech. It understands and generates texts based on the data received. We use this "knowledge" to select efficient interaction measures in real time in customer dialog, for example, or to start corresponding workflows.
Bandits
With this approach, our AI makes decisions based on context. It learns from the results and optimizes actions for maximum benefit. The "knowledge" learned is applied to determine the best course of action (next best action) and increase service success.
Networks
Our AI evaluates actions in interaction with neural networks. In this way, it learns to make optimal decisions. Based on the findings, it describes success scenarios and thus constantly increases the effectiveness of our solution.