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Manual email treatment, a thing of the past!

Automate inbound emails labeling and routing and free yourself from mundane repetitive tasks.

Companies selling services directly to consumers, such as banks, insurances or telocs, are faced with a growing amount of inbound emails to deal with. And this trend is not ready to reverse thanks to the increase usage of emails instead of brick and mortar business desk.

Dealing with inbound
emails is very often a hassle.

Let’s take an example. Your company receives thousands of emails from customers, brokers or experts. A dedicated team will then open, read (attachments included) and label each email with metadata. Metadata can be one or multiple categories (i.e. “life insurance” and “contract cancellation”), priority level, police reference number, status in the conversation, etc . Based on these metadata, the email will probably be routed to the right manager or the right RPA process.

The problem is that this process is very time consuming. Having to manually read such a large volume is slow and prone to errors. Moreover, emails tend to follow the Pareto principle in the sense that 20% of the emails occur 80% of the time, meaning that people are in 80% of the cases, repetitively labeling emails in the same way. And highly repetitive tasks can cause tiredness, decreasing employees happiness, leading to even more errors and probably lowering customer satisfaction.

Let’s take an example. Your company receives thousands of emails from customers, brokers or experts. A dedicated team will then open, read (attachments included) and label each email with metadata. Metadata can be one or multiple categories (i.e. “life insurance” and “contract cancellation”), priority level, police reference number, status in the conversation, etc . Based on these metadata, the email will probably be routed to the right manager or the right RPA process.

The problem is that this process is very time consuming. Having to manually read such a large volume is slow and prone to errors. Moreover, emails tend to follow the Pareto principle in the sense that 20% of the emails occur 80% of the time, meaning that people are in 80% of the cases, repetitively labeling emails in the same way. And highly repetitive tasks can cause tiredness, decreasing employees happiness, leading to even more errors and probably lowering customer satisfaction.

The right AI system, integrated in companies’ inbound customer email management can increase operational efficiency, quality and revenue.

By focusing their team on the most priority and important cases, companies can increase customer satisfaction leading to a revenue increase.

Our solution

Sagacify has a very solid expertise in Natural Language Processing. We have successfully deployed AI system in production for banks and insurances performing:

  • Free text classification
  • Intent detection
  • Named entity recognition
  • Sentiment analysis.

How can you integrate AI in your workflow?

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