Say Hello to Freeda: NLP and AI-Powered Digital Assistant for Your Order-to-Cash

Let us take a quick look at how Freeda helps A/R teams to stay ahead of customer behavior trends:

1. Prioritized Worklists

• Freeda helps the team by organizing their worklist and arranging action items based on priority levels while also suggesting how to start the day.
• Freeda also manages the call dashboards and identifies critical customer accounts based on past-due date details along with the collection amount.
• This enables them to function faster and trims down their search time to look for different data sources.

2. Customer Interaction Transcription

• Freeda transcribes live customer calls and highlights and captures the important points. It then saves these points in the call log.
• This allows the A/R team to quickly track the essential details from the call and act accordingly.

3. Interaction-Based Suggestions

• Freeda suggests intelligent action items based on calls with customers and allows the team to make quick decisions.
• Freeda can also draft emails and attach the relevant documents based upon recent interactions with the customer. The analyst can then manually configure the email if required and send it out.
• Freeda also notifies team members of additional tasks done by the system, like saving call notes, and updating the correspondence history, etc.

4. Intent Analysis

• Freeda identifies keywords, phrases, letters, sentences, rows, and column headers in an email body.
• For instance, the HighRadius Deduction platform has an email inbox that enables the A/R team to directly go through all the emails in a single place rather than navigating somewhere else for it. Freeda captures the data from the inbox to provide a suggestive action item for the analyst.

This is how digital assistants can perform the day-to-day finance operations and become an invaluable partner for A/R teams in the future

NLP could help teams drive exceptional customer calls by:

• Suggesting real-time questions that the analyst could ask the customer on calls.
• Providing suggestions on how to answer questions from customers.
• Predicting probable questions customers might ask.

NLP could help identify the intent of customers by performing sentiment analysis:

• Assigning customers to different sentiment buckets like positive, negative, and neutral.
• Determining intent using voice and tone, for instance, will the customer keep the Promise-to-Pay or not.
• This allows collectors to take corrective actions proactively.

With the power of NLP on its side, Highradius’ digital assistant Freeda seeks to help A/R teams prioritize customers based on categories, identify their intent & make intelligent suggestions.

This would enable teams to stay abreast of customer behavior and proactively follow up with them, leading to an improved customer experience and optimized working capital.