Tarams Boosts Customer Satisfaction for Cloud Analytics Startup with AI-driven Ticket Identification Solution

Enhancing Customer Support

Tarams Collaborates with Cloud Analytics Startup to Deploy AI-driven Ticket Identification Solution

About Our Client

A San Francisco-based startup specializing in cloud-based data science and analytics platforms faced challenges in identifying tickets and emails from disgruntled customers quickly to maintain a healthy customer base.

The Business Challenge

The client needed a smart mechanism to differentiate and prioritize tickets and emails from unhappy customers over regular ones. This was crucial for ensuring customer satisfaction and retention.

The Solution

Tarams designed an algorithm using a neural network model and transfer learning methodology to address the client’s challenge. The algorithm was trained on open-source reviews and deployed at the client’s end, resulting in an 80% success rate in identifying required tickets and emails.

More Effective than Traditional Keyword-Based Approaches

The algorithm surpassed traditional keyword-based methods, ensuring better accuracy and relevance in ticket identification.

Real-time and Accurate Results

The solution provided real-time identification of disgruntled customer tickets and emails, enabling prompt responses and resolution.

Recognition of New and Unseen Patterns

The algorithm was capable of recognizing emerging patterns and trends in customer feedback, ensuring proactive support.

Fast Model Training

Leveraging transfer learning, the algorithm could be trained quickly and efficiently, minimizing time-to-deployment.

Always Learning and Improving

The algorithm continuously learned from new data and feedback, improving its accuracy and effectiveness over time.

The Results

The implementation of the AI-driven ticket identification solution yielded significant results:

Improved Customer Satisfaction: The client experienced enhanced customer satisfaction by promptly addressing issues raised by disgruntled customers.

Efficient Customer Support: The solution enabled the client to prioritize and resolve critical issues more effectively, leading to a healthier and more stable customer base.

Enhanced Operational Efficiency: By automating the ticket identification process, the client’s support team could focus their efforts on resolving customer issues, improving overall operational efficiency.


Tarams’ collaboration with the cloud analytics startup resulted in the successful deployment of an AI-driven ticket identification solution, revolutionizing customer support processes. By leveraging advanced AI technologies, the client was able to identify and address customer issues more efficiently, ultimately leading to improved customer satisfaction and retention.

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Tarams Empowers a Leading Startup with Innovative Product Visualization App for Trustworthy Online Recommendations

Revolutionizing Online Recommendations

Tarams Collaborates with a Leading Startup to Launch Trust-Driven Product Visualization App

About Our Client

A leading startup based in San Francisco recognized the need for a more convenient and reliable method of obtaining word-of-mouth recommendations for products online.

The Opportunity

The current landscape heavily relies on scouring various review websites or advertising channels for product recommendations. The startup identified an opportunity to address this challenge by developing an innovative solution that visualizes what users and their friends have purchased online, fostering trust in product recommendations.

The Solution

Tarams collaborated with the startup to develop an application that revolutionizes online product discovery. The app enables users to see what products their friends have purchased without relying on traditional rating systems or comments. Key components of the solution include:

Product Visualization App

The app utilizes AI-based image processing to visually showcase products that users and their friends have purchased online, providing a more intuitive and trustworthy recommendation experience.

Integration with Multiple Platforms

Seamless integration with platforms such as Gmail, Amazon, Netflix, and others allows the app to gather purchase data and provide personalized recommendations to users.

Advanced Technologies

Implementation of Google OAuth Certification for Restricted Scopes ensures data security and compliance. Additionally, machine learning algorithms are utilized for product categorization, enhancing the accuracy and relevance of recommendations.

The Results

The launch of the app has yielded significant results:

Users benefit from a more convenient and trustworthy method of discovering products online, leading to increased user engagement and satisfaction.

The integration with multiple platforms enables the app to gather comprehensive purchase data, providing users with highly personalized recommendations tailored to their preferences.

Advanced technologies such as AI-based image processing and machine learning enhance the accuracy and relevance of product recommendations, further improving user experience.


Tarams’ collaboration with the startup resulted in the successful launch of a groundbreaking product visualization app, transforming online recommendations and fostering trust among users. By leveraging innovative technologies and seamless integrations, the app empowers users to discover products online with confidence, revolutionizing the way people shop and engage with online content.

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