Quality Assurance Archives

Tarams Boosts Customer Satisfaction for Cloud Analytics Startup with 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 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.

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.

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

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

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

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

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

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 Boosts Sales Efficiency for Leading APM Company with Salesforce Integration

About Our Client

A leading Application Performance Management (APM) product company, headquartered in the Bay Area, USA, faced challenges with sales team efficiency due to manual license provisioning and tracking processes.

The sales teams relied on manual processes and disparate systems for license provisioning and tracking, leading to delays and revenue loss. The company needed to streamline these operations to improve sales efficiency and revenue generation.

Tarams automated and streamlined sales operations by integrating Salesforce with various business systems, extending Salesforce.com with custom screens to act as a License Server. Key components of the solution included:

Tarams integrated Salesforce with other business systems to streamline license provisioning and tracking processes, ensuring quick availability of products and higher sales volumes.

Leveraging Apex and Visualforce, Tarams developed custom solutions on the Force.com platform to enhance Salesforce functionality and meet the specific needs of the APM company.

Implementation of workflow, approval processes, and validation rules within Salesforce to automate business processes and improve operational efficiency.

Configuring profiles, roles, permission sets, Org-Wide Defaults (OWD), sharing rules, and Apex sharing to ensure data security and access control within Salesforce.

The implementation of Salesforce integration led to significant improvements in sales operations:

Streamlined license provisioning and tracking processes resulting in improved sales team efficiency and faster product availability.

Automation of business processes within Salesforce reduced manual effort and minimized errors, leading to higher accuracy and productivity.

Custom integrations with Marketo, Zendesk, and other systems enhanced data visibility and collaboration across teams, further improving overall sales performance.

Tarams’ collaboration with the APM company resulted in the successful integration of Salesforce, streamlining sales operations and improving efficiency. By automating license provisioning, implementing custom solutions, and integrating with various business systems, Tarams empowered the sales teams to drive higher sales volumes and revenue growth.

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

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 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.

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:

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.

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

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 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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Tarams Empowers Cryptocurrency Brokerage with Cutting-Edge Data Framework for Enhanced Insights

About Our Client

A California-based cryptocurrency brokerage and digital asset trading platform sought to enhance its data management capabilities to fuel business insights and decision-making.

The client faced the challenge of building a robust data framework for collecting, storing, and processing both their data and third-party data. They needed to develop complex ETL pipelines, implement streaming analytics, and enable large-scale data processing to support their growing business needs.

Tarams collaborated with the client to devise a comprehensive data framework tailored to their requirements. The solution included:

Tarams implemented a framework for collecting data from hundreds of sources, including APIs, databases, and time series data, enabling the brokerage to gather vast amounts of information from diverse sources.

Tarams developed complex ETL pipelines to process and transform the collected data efficiently. This allowed the brokerage to handle large-scale data processing tasks seamlessly.

The solution incorporated streaming analytics capabilities, enabling real-time analysis of incoming data streams for timely insights and decision-making.

Tarams implemented interactive and self-service dashboards to visualize the processed data, providing stakeholders with intuitive tools to explore and understand the data effortlessly.

Through Tarams’ solution implementation:

The cryptocurrency brokerage gained enhanced capabilities for data collection, processing, and analytics.

Complex ETL pipelines enabled efficient transformation and management of vast amounts of data.

Streaming analytics capabilities provided real-time insights for agile decision-making.

Interactive dashboards facilitated data visualization, empowering stakeholders to derive actionable insights from the data.

Tarams’ collaboration with the cryptocurrency brokerage resulted in the successful implementation of a comprehensive data framework, enabling advanced processing, analytics, and visualizations. By leveraging cutting-edge technologies and tailored solutions, Tarams empowered the brokerage to drive insights and innovation in the dynamic cryptocurrency market.

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Tarams Elevates Customer Success at Big Data Innovator with Streamlined Operations Integration

About Our Client

A pioneering company, founded by the creators of Apache Spark, is dedicated to revolutionizing big data processing using Spark technology. With a focus on cloud-based solutions, they sought to optimize their customer success operations.

The customer success team at the company faced the challenge of automating and streamlining their operations. They needed to integrate data from various business systems, including CRM, support ticketing, and survey software. In the domain of customer retention, they required an efficient system to prioritize queries from unhappy customers over regular ones.

Tarams partnered with the client to automate and streamline their operations. By leveraging Spark jobs and serverless functions on the AWS Cloud, Tarams built a robust data infrastructure. This infrastructure enabled seamless integration of data from various business systems, empowering the customer success team to efficiently manage customer interactions.

Custom Integrations:
Salesforce & Google Spreadsheet
Salesforce & Zendesk
Salesforce & SurveyGizmo

SOQL Report Builder
Custom email template

Through Tarams’ solution implementation:

The client’s customer success team achieved enhanced efficiency and productivity.

Integration of various business systems enabled a holistic view of customer interactions.

Prioritization of queries from unhappy customers facilitated proactive retention efforts.

Custom applications provide tailored solutions to meet specific business needs.

Tarams’ collaboration resulted in the successful automation and streamlining of customer success operations. By integrating data from various systems and implementing custom applications, the client enhanced its ability to deliver exceptional customer experiences and drive business growth in the competitive big data industry.

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