{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9854095","patent":{"patent_number":"US-9854095","title":"Agent statistics by location","assignee":null,"inventors":[],"filing_date":"2013-03-15T00:00:00.000Z","publication_date":"2017-12-26T00:00:00.000Z","cpc_codes":["H04M","H04M","H04M","H04M"],"num_claims":18,"abstract":"The present disclosure is directed to methods including obtaining a location data of a source; obtaining at least one performance measure; correlating the location data and the at least one performance measure to obtain a correlation; and analyzing the correlation to obtain an analysis report. The present disclosure is further directed to systems that include a source related to a contact center, and a processor configured to: obtain a location data of the source; derive at least one performance measure; correlate the location data and the at least one performance measure to obtain a correlation; and analyze the correlation to obtain an analysis report."},"analysis":{"summary":"Agent Statistics by Location is a patent that addresses the challenge of optimizing contact center performance by analyzing the correlation between agent location and performance metrics. The core innovation lies in its ability to correlate location data with performance data to uncover hidden patterns and insights that traditional analytics often miss. This technology solves the problem of limited visibility into the factors influencing agent performance, enabling contact centers to make data-driven decisions about resource allocation, training programs, and workspace design. The key technical approach involves collecting location data from agent workstations, gathering performance metrics from the call center's management system, and using statistical techniques and machine learning algorithms to identify correlations. The business value of Agent Statistics by Location lies in its ability to improve agent productivity, reduce attrition rates, and enhance customer satisfaction. By providing actionable insights into the relationship between location and performance, this technology enables contact centers to optimize their operations and achieve significant gains in efficiency. The market opportunity for Agent Statistics by Location is substantial, as it addresses a critical need in the contact center industry. The technology has the potential to transform the way contact centers operate, enabling them to make more informed decisions about resource allocation and training programs. This innovation represents a significant advancement in contact center analytics, offering a new way to understand and improve agent performance.","layman_explanation":"Agent Statistics by Location addresses the challenge of understanding how an employee's location affects their performance, particularly in environments like contact centers. Here's a breakdown for business professionals:\n\n1. What Problem Does This Solve? (100-150 words)\nMany businesses struggle to understand why some employees perform better than others. Traditional performance metrics, like sales numbers or customer satisfaction scores, often don't provide a complete picture. They fail to account for external factors, such as the employee's physical location or work environment. Existing solutions offer limited insights into these location-based influences.\n\n2. How Does It Work? (200-300 words)\nThis patent introduces a system that correlates an employee's location with their performance data. Imagine a contact center where some agents work in a quiet area while others are near a noisy break room. The system tracks where each agent is located and analyzes their performance metrics, such as call handling time and customer satisfaction. By correlating this data, the system can identify patterns. For example, it might reveal that agents in the quiet area consistently outperform those near the break room. This approach doesn't require complex technical knowledge; it's about connecting the dots between location and results.\n\n3. Why Does This Matter? (150-200 words)\nUnderstanding the impact of location on performance can lead to significant improvements in productivity and employee satisfaction. By identifying and addressing location-related issues, businesses can optimize their work environments and improve overall performance. For instance, if the system reveals that agents near the break room are underperforming, the company could relocate them to a quieter area or implement noise reduction measures. This technology has the potential to transform the way businesses manage their workforces, enabling them to create more productive and supportive environments. The system provides a competitive advantage by revealing hidden factors that impact performance, allowing businesses to make data-driven decisions about resource allocation and workplace design.\n\n4. What's Next? (50-100 words)\nFuture applications of this technology could include integrating it with other workplace management systems, such as space planning tools and environmental monitoring systems. This would enable businesses to create even more optimized work environments. The adoption timeline will depend on the complexity of the implementation and the availability of data. However, the potential ROI is significant, making this technology an attractive investment for businesses looking to improve their bottom line.","technical_analysis":"Agent Statistics by Location provides a system for correlating agent location data with performance metrics. The technical architecture involves several key components: a location data acquisition module, a performance data collection module, a correlation engine, and an analysis report generator. The location data acquisition module collects location data from agent workstations using GPS, Wi-Fi triangulation, or Bluetooth beacons. The performance data collection module gathers performance metrics from the call center's management system, including call handling time, customer satisfaction scores, and agent availability. The correlation engine employs statistical techniques like regression analysis and machine learning algorithms to identify correlations between location data and performance metrics. The analysis report generator presents the results in a user-friendly format. Implementation details involve integrating this system with existing contact center infrastructure. The system must seamlessly collect data from various sources and correlate it in real-time, requiring a robust and scalable architecture. The patent describes cloud-based and on-premise deployment options. Algorithm specifics include the use of machine learning algorithms to identify complex correlations between location and performance. Integration patterns involve APIs for connecting to existing contact center systems. Performance characteristics are critical, requiring real-time data processing and quick analysis report generation. The system uses techniques like data caching and parallel processing to improve performance. Code-level implications involve implementing secure data collection and storage mechanisms to protect agent privacy. The system also requires efficient algorithms for data analysis and report generation.","business_analysis":"Agent Statistics by Location presents a significant market opportunity within the contact center industry. The market opportunity size is substantial, as contact centers are constantly seeking ways to improve agent productivity and customer satisfaction. The competitive advantages of this technology lie in its ability to provide unique insights into the relationship between location and performance, which traditional analytics often miss. The revenue potential is high, as contact centers are willing to invest in technologies that can improve their bottom line. Business models could include software-as-a-service (SaaS) subscriptions or licensing agreements. Strategic positioning involves targeting contact centers that are looking to optimize their operations and improve agent performance. ROI projections are promising, as the technology has the potential to generate significant cost savings and revenue gains. By improving agent productivity, reducing attrition rates, and enhancing customer satisfaction, Agent Statistics by Location can deliver a strong return on investment. The technology's ability to provide actionable insights into the relationship between location and performance makes it a valuable tool for contact center managers. This innovation enables contact centers to make data-driven decisions about resource allocation, training programs, and workspace design, leading to improved business outcomes.","faqs":null,"topics":["agent statistics","location data","contact center optimization","performance metrics","patent","agent","statistics","location"],"tech_cluster":null},"seo":{"title":"Agent Statistics by Location - Optimize Agent Performance","description":"Discover how Agent Statistics by Location patent optimizes contact center performance with location data. Analyze agent location & boost productivity. Read more here.","keywords":["agent statistics","location data","contact center optimization","performance metrics","patent","patent US-9854095","agent performance","workforce management","spatial analytics","productivity improvement"]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9854095","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-9854095","citation_suggestion":"Patentable. \"Agent statistics by location\" (US-9854095). https://patentable.app/patents/US-9854095","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9854095","json":"https://patentable.app/api/llm-context/US-9854095","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T09:42:12.146Z"}