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

Optimised
Payment Interaction

Thanks to reinforcement learning, we are able to analyse your customers' individual payment habits and preferences in depth. In this way, we address each of your customers at the ideal time, via the most effective channel and the most suitable payment solution.

Effective
Intention Recognition

Our advanced Natural Language Processing (NLP) and Transformer (GPT) models enable us to precisely capture the moods, needs and intentions of your customers. We use this to create a results-oriented and positive customer experience.

Payment Forecasts to Minimise Risk

By using Contextual Bandits and Deep-Q-Networks, we proactively anticipate your customers' payment behavior. This enables individual and prompt optimisation of the receivables process, reduces debt collection cases and increases the efficiency of your receivables management.

Optimised
Payment Interaction

Thanks to reinforcement learning, we are able to analyse your customers' individual payment habits and preferences in depth. In this way, we address each of your customers at the ideal time, via the most effective channel and the most suitable payment solution.

Effective
Intention Recognition

Our advanced Natural Language Processing (NLP) and Transformer (GPT) models enable us to precisely capture the moods, needs and intentions of your customers. We use this to create a results-oriented and positive customer experience.

Payment Forecasts

By using Contextual Bandits and Deep-Q-Networks, we proactively anticipate your customers' payment behavior. This enables individual and prompt optimisation of the receivables process, reduces debt collection cases and increases the efficiency of your receivables management.

Full control

5 Steps to Reach A Fully Autonomous Receivables Management

Determine the AI deployment level and select the desired level here.

Level

1

Level

2

Level

3

Level

4

Level

5

DIGITAL CORNERSTONE - LEVEL 1

Rule-based receivables management

Get started with your digital receivables management. Here, your predefined scenarios are implemented in structured, rule-based processes. Receivables are segmented by customer group and processed according to a defined standard. This is the ideal starting point for digitalising processes and introducing AI technologies. You always retain full control.

Advantages: Cost efficiency, minimisation of errors, individualisation of processes

DATA ANALYSIS WITH AI - LEVEL 2

Gain insights through AI data analysis

Deepen your understanding of data-driven receivables management. Use AI analyses to gain new insights. Recognise customer behaviour in real time, identify process errors and make sound decisions for process. optimisation.

Advantages: In-depth customer behaviour analysis, improved understanding of payment behaviour, data-based optimisation.

AI RECOMMENDATIONS - LEVEL 3

Recommendations for action through AI

Get started with AI-optimised receivables management. Let AI technologies advise you based on your data and network benchmarks. Optimise your processes with data-based recommendations and increase the efficiency of your customer interactions.

Advantages: Data-based recommendations for action, benchmarking insights, process optimisation

AI SUPPORT - LEVEL 4

Highly automated receivables management

Get closer to fully autonomous receivables management. Activate the AI assistance systems and optimise your order-to-cash journey. Here, the AI already takes over many processes and makes real-time decisions, always in line with your specifications.

Advantages: Highly automated processes, high efficiency, increased effectiveness

COMPLETE AI CONTROL - LEVEL 5

Fully autonomous receivables management

Reach the pinnacle of AI maturity. Set targets and framework conditions while the AI works autonomously for you. It optimises risks, makes decisions and continuously improves processes.

Benefits: Maximum efficiency, continuous optimisation, maximum impact on results

DIGITAL CORNERSTONE - LEVEL 1

Rule-based receivables management

Get started with your digital receivables management. Here, your predefined scenarios are implemented in structured, rule-based processes. Receivables are segmented by customer group and processed according to a defined standard. This is the ideal starting point for digitalising processes and introducing AI technologies. You always retain full control.

Advantages: Cost efficiency, minimisation of errors, individualisation of processes

DATA ANALYSIS WITH AI - LEVEL 2

Gain insights through AI data analysis

Deepen your understanding of data-driven receivables management. Use AI analyses to gain new insights. Recognise customer behaviour in real time, identify process errors and make sound decisions for process. optimisation.

Advantages: In-depth customer behaviour analysis, improved understanding of payment behaviour, data-based optimisation.

AI RECOMMENDATIONS - LEVEL 3

Recommendations for action through AI

Get started with AI-optimised receivables management. Let AI technologies advise you based on your data and network benchmarks. Optimise your processes with data-based recommendations and increase the efficiency of your customer interactions.

Advantages: Data-based recommendations for action, benchmarking insights, process optimisation

AI SUPPORT - LEVEL 4

Highly automated receivables management

Get closer to fully autonomous receivables management. Activate the AI assistance systems and optimise your order-to-cash journey. Here, the AI already takes over many processes and makes real-time decisions, always in line with your specifications.

Advantages: Highly automated processes, high efficiency, increased effectiveness

COMPLETE AI CONTROL - LEVEL 5

Fully autonomous receivables management

Reach the pinnacle of AI maturity. Set targets and framework conditions while the AI works autonomously for you. It optimises risks, makes decisions and continuously improves processes.

Benefits: Maximum efficiency, continuous optimisation, maximum impact on results

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

Reinforcement
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.

Natural Language Processing (NLP)

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.

Contextual
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.

Deep-Q-
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.

Die besttrainierte
KI für Ihr O2C-Management

Liquify smarter, faster, better!

Die besttrainierte KI für Ihr O2C-Management

Liquify smarter, faster, better!