Wit Jakuczun,

AI for Customer Service: Optimizing Help Desks

Discover how F33 leveraged Vertex AI for customer service to optimize help desk processes at Inlogica. Learn how AI solutions streamline operations, automate tasks, and improve customer satisfaction.

Discover how F33 leveraged Vertex AI for customer service to optimize help desk processes at Inlogica. Learn how AI solutions streamline operations, automate tasks, and improve customer satisfaction.

USE CASE STUDY

How has F33 used Vertex AI to optimize help desk processes at Inlogica company?

Customer Challenge

Our customer, Inlogica company has achieved substantial success in its marketing activities by selling Microsoft Dynamics services. This increased the number of serviced customers and, as a result, the number of service desk tasks to be handled by the team. The Inlogica team observed that around 70-80% of tasks are very similar and answering them could be automated. Moreover, handling the next 20-30%, the more complex ones can also be optimized by providing the consultants with a set of possible questions.

Our Solution

Our solutions to using AI for customer service

F33 has followed its AI/ML Framework to deliver the AI/ML solution for Inlogica. As a result we helped Inlogica formulate requirements, prepare datasets (using their history of contacts with customers) and upgrade their IT infrastructure to communicate with the model.

For the AI/ML model, we decided to try the Vertex AI AutoML NLP as a benchmark model. For the next stage, we will evaluate other approaches like the BERT language model using Tensorflow TFX framework.

Models were implemented using F33 MLOps GCP Platform and the diagram below presents all core components used for this implementation.

Benefits

During the business understanding stage, we identified that the customer wanted to optimize two metrics:

● Reduced human intervention in repetitive tasks by at least 50%.

● Increased throughput in non-repetitive tasks by at least 20%.

The result of the AI solution created and delivered by F33 is that INLOGICA’s consultants can focus more on complex cases, thus streamlining our processes and allowing us to deliver a much better customer experience. By automating, we are now able and more confident to scale our future business and plan to use ML/AI solutions to continue improving our services.

– Michał Paluszczak, CEO, INLOGICA
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Behind F33
Greg Bigos, CEO

Greg Bigos is the CEO of F33, bringing over decades of experience in delivering ERP solutions for manufacturing, logistics, and retail industries.



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Behind F33
Wit Jakuczun, CTO

Wit Jakuczun is the CTO/Chief Data Science Officer at F33 with a PhD in Applied Mathematics and over 18 years of experience in mathematical modeling, data analysis, and simulations.

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