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Partner with Solazu for tailored IT solutions that optimize your business.

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Explore how Solazu partners with businesses to deliver scalable solutions, enhance efficiency, and achieve growth.

DRIVING INNOVATION FOR GLOBAL LEADEARS

Case Studies

Solazuと提携し、貴社に最適なITソリューションで効率化と成長を実現しましょう。

コストの最適化を目指していますか

Solazuが企業とどのように連携し、効率を向上させるスケーラブルなソリューションを提供し、成長を実現しているか

グローバルリーダーのための革新推進

実績紹介

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Driving Innovation for Global Leaders

The bank encountered these key issues:<ul><li>Performance inconsistency: Managing hundreds of third-party call center agents made it challenging to ensure consistent service quality.</li><li>Opaque reporting: Traditional monthly reports lacked the granularity to assess individual agent contributions or measure the impact on customer satisfaction.</li><li>Unclear ROI validation: The client struggled to confirm whether the investment in outsourced services aligned with business objectives.</li></ul>

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Challenges

A prominent banking institution partnered with Solazu to implement an AI-powered solution to evaluate outsourced call center agents. By leveraging AI, the bank gained clear insights into agent performance, enabling data-driven decisions to enhance team quality, customer satisfaction, and ROI.

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<ul><li>Enhanced transparency: Provided a detailed evaluation of 200+ agents, uncovering individual strengths and weaknesses.</li><li>Improved team quality: The client replaced underperforming agents based on AI insights, significantly boosting call center efficiency.</li><li>Maximized ROI: Optimized resource allocation and improved customer satisfaction, driving greater returns on outsourcing investments.</li></ul>

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Results

Solazu developed and deployed a comprehensive AI solution to address these challenges:<ul style="list-style-type:disc;"><li>Agent performance evaluation model: Leveraging call recordings, the AI assessed agents on: Communication effectiveness. Product and service knowledge. Customer satisfaction and problem resolution.</li><li>Behavioral analysis: AI detected key factors like tone, attitude, and adherence to service protocols, providing a holistic view of each agent’s performance.</li><li>Real-time insights: Enabled precise identification of high-performers and underperformers, delivering actionable recommendations for team optimization. &nbsp;</li></ul>

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AI-Powered Call Agent Evaluation for the Banking Industry

Case Study: 

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When hiring new employees businesses often faced with these issues:<ul><li>Employers received thousands of CVs daily for various technical and non-technical roles. Manual screening consumed significant time and caused delays in the hiring process.</li><li>Outdated tools failed to effectively prioritize candidates with niche technical skills or relevant experience, resulting in suboptimal hires.</li><li>During peak recruitment seasons, increased server loads led to slowdowns and inconsistent system performance. &nbsp;</li></ul>

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Fast-tracking Hiring Tool  is a tool designed to address challenges in quickly recruiting top-tier talent, enabling growing companies to adapt and thrive.


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<ul><li>Organizations reduced 30% time-to-hire and operational expenses by using serverless infrastructure and efficient data pipelines.</li><li>The tool facilitated seamless CV uploads and job matching, even during high traffic periods, ensuring real-time results. &nbsp;</li></ul>

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To address these problems, the Fast-tracking Hiring Tool offers:<ul><li>The serverless architecture that allows automatic scaling during traffic spikes, ensuring consistent performance.</li><li>Automated CV processing where uploaded CVs are parsed in real-time using S3-triggered Lambda functions. Neural network embeddings calculate similarity and match scores, providing a precise ranking of candidates.</li><li>Efficient data management with anonymized CVs securely stored in S3 and Redis enabling rapid access for analytics and API requests. &nbsp;</li></ul>

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The traditional analytic methods require:<ul><li>A large amount of time to analyze market trends and make accurate predictions.</li><li>Diverse and complex data, including technical charts, historical performance data, market sentiment and financial documents, all of which need to be analyzed.</li><li>The skill of identifying patterns in stock charts (such as candlestick patterns, moving averages, or support/resistance levels) that requires both experience and significant expertise. &nbsp;</li></ul>

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Real-time Stock Chart Analyst is a cutting-edge tool developed by Solazu to address the challenges faced by stock investors and analysts in making quick and informed investment decisions.

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<ul><li>On average, investors reduced analysis time by 75%, enabling them to focus on refining strategies, monitoring market conditions, or making additional trades.</li><li>By leveraging ML and AI to interpret charts, the tool removes human bias and error, allowing for data-driven, objective decisions. This improvement boosted the accuracy of trading decisions by 50%.</li><li>With the support of the tool’s automated chart pattern recognition and textual explanations, less experienced investors have gained greater confidence in their ability to make informed decisions. &nbsp;</li></ul>

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Solazu developed the tool to:<ul><li>Minimize the time and effort spent analyzing different types of data and converting them into actionable decisions.</li><li>Leverage vision-based LLMs to convert image patterns into descriptive text. &nbsp;</li></ul>

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The F&amp;B chain struggled with:<ul><li>Fluctuating call volumes: Peak times overwhelmed their human agents, leading to customer dissatisfaction due to long wait times.</li><li>Extensive product catalog: Training agents to master product details was time-intensive and often inconsistent.</li><li>Missed sales opportunities: Limited understanding of customer purchase history and behaviors hindered upselling efforts. &nbsp;</li></ul>

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A leading F&B chain faced challenges in managing inconsistent order volumes and training agents to handle complex product catalogs. Solazu developed an AI-powered Voice-to-Order solution to streamline operations and enhance customer satisfaction.

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<ul><li>Improved efficiency: The AI agent handled a higher call volume without compromising accuracy.</li><li>Enhanced customer satisfaction: Reduced wait times and personalized product recommendations led to a significant boost in customer happiness.</li><li>Increased sales: By leveraging past customer data, the solution effectively upsold products, boosting revenue. &nbsp;</li></ul>

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Solazu implemented a custom-trained Large Language Model (LLM) solution, designed to:<ul><li>Automatically process and manage multiple orders simultaneously, eliminating wait times.</li><li>Leverage customer data to provide personalized recommendations and upsell relevant products.</li><li>Handle product inquiries with a level of expertise superior to new human agents. &nbsp;</li></ul>

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Case Study:

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データを整理し、必要な情報を引き出して分析することで、ビジネスの成長につながる具体的な戦略を生み出します。

データ活用ソリューション

AI技術を活用してデータを分析し、成長を加速させる実践的な戦略をご提案します。

AI活用ソリューション

業務プロセスを効率化し、時間とコストを削減することで、持続可能な成長を加速します。

最適化ソリューション

これまでSolazuが開発・ご提供させていただいたカスタムAIの導入・活用事例をご紹介いたします。

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