As a netsertive he built a scaled assistant of him to derive significant knowledge from real -time data using Amazon Bedrock and Amazon Nova
This post was co-wrote with Herb Brittner from the Netsertive.
Netsertive is a leading provider of digital marketing solutions for multi -location brands and exclusivities, helping businesses maximize local advertising, improve engagement and gain deep customer knowledge.
With a growing demand to provide a more active overview of their clients’ calling data, Netsertive needed a solution that can unlock business intelligence from any call, making it easier for exclusivities to improve customer service and increase conversion rates. The team was looking for a single, flexible system that could do some things:
- Understand phone calls – Automatically create a summary of what was discussed
- Measuring the feelings of the client – Determine if the caller was happy, creepy or neutral
- Identify important topics – Draw keywords related to frequent services, questions, problems and mention of competitors
- Improve the agent’s performance – offer tips and suggestions for exercise
- Track performance over time – generate reports on trends for individual countries, regions and across the country
Essentially, this new system had to work smoothly with their existing multi -location experience (MLX). The MLX platform is specifically created for businesses with many countries and helps them manage national and local marketing. This allows them to campaigns in various online channels, including search engines, social media, screen ads, videos, connected TVs and online ratings, as well as managing SEO, business lists, social media posts and individual location websites.
In this post, we show how the Netsertive introduced an AI generating assistant to MLX, using Amazon Bedrock and Amazon Nova, to bring their future generation of platform to life.
Settlement
Operating a comprehensive digital marketing solution, Netserve deals with campaign execution while providing the main success metric through their Insights manager product. The platform contains the content management capabilities specific to the powerful location and functionality of lead capture, collecting data from numerous sources, including paid campaigns, organic website traffic and pro attribute forms. With CRM integration and call tracking features, MLX creates a smooth flow of client data and marketing knowledge. This combination of managed services, automated tools and analytics makes MLX a single source of truth to businesses seeking to choose their own digital marketing efforts while benefiting from the Network Expertise in Campaign Management. To address their desire to provide a more active overview on the platform from the client calling data, Netsertive considered different solutions. After evaluating different tools and models, they decided to use Amazon Bedrock and Amazon Nova Micro model. This choice was driven by API’s API approach, its extensive choice of large language models (LLM) and the performance of the Amazon Micro model specifically. They selected Amazon Nova Micro based on her ability to provide quick response time at a low cost, providing a sustainable and intelligent overview – key factors for netser. At its speed of generating over 200 signs per second and the ability to understand the performance language, this single text model proved to be ideal for netser. The following diagram shows how their MLX platform gets real -time phone calls and uses Amazon Nova Micro in Amazon Bedrock for real -time telephone processing.
Real -time call processing flow consists of the following steps:
- When a call comes in, it is immediately directed to the lead api. This process captures both the live call transcript and important metades for the caller. This system constantly processes new calls as they reach, facilitating real -time treatment of entry communications.
- The captured transcript is conveyed to Amazon Bedrock for analysis. The system currently uses a standardized basis base for all customers, and architecture is designed to allow the customer specific customer personalization as an added context layer.
- Amazon Nova Micro processes the transcript and returns a structured JSON response. This response includes components of many analysis: Analysis of the sense of conversation, a summary of concise calls, key identified terms, classification of general calls, and specific exercise suggestions for improvement.
- All results of the analysis are systematically stored on a database Amazon aurora with their main metrics associated. This ensures that the processed data is properly indexed and are available for both immediate access and future analysis.
Aggregate report schedule consists of the following steps:
- The aggregate analysis process begins automatically on weekly and monthly schedules. During each running, the system collects data entering within the specified period of time.
- This aggregate analysis uses both Amazon Bedrock and Amazon Nova Micro, applying a specialized speed specialized for trend analysis. This quickly differs from real -time analysis to focus on identifying patterns and penetrations through multiple calls.
Processed aggregates from both work streams are transformed into comprehensive reports that exhibit trend analysis and comparative metrics through UI. This provides interested parties with valuable knowledge of performance models and trends over time, while allowing the user to dive deeper into specific metrics.
results
Implementation of that generator to create a real -time call data analysis solution has been a transformative trip for a netser. Their new features of their calls, using Amazon Nova Micro on the Amazon bed, only takes minutes to create active knowledge compared to their previous manual call review processes, which took hours or even days for customers with high call volumes. The Netserve chose Amazon Bedrock and Amazon Nova Micro to solve them after a rapid estimate period of about 1 week of testing of various tools and models. Their development approach was methodical and focused on clients. The feature of the calls was added to the road map of their platform based on the direct customer reactions and the internal marketing expertise. The whole process of development, from creating and testing their guidelines at Amazon Nova Micro to the integration of the Amazon Bedrock with their MLX platform, was completed within about 30 days before starting in beta. Transforming real-time call data analysis is not just about processing more calls-has to do with creating a more comprehensive meaning of client interactions. By implementing Amazon Bedrock and Amazon Nova Micro, the Netsertive is able to better understand the goals and value of calls, improve measurement skills, and progress towards the most automated and efficient analysis systems. This evolution can not only direct operations, but also provide customers with more active knowledge about their digital marketing performance.
cONcluSiON
In this post, we have shared how the Netsertive introduced an AI generating assistant in MLX, using Amazon Bedrock and Amazon Nova. This solution helped escalate their MLX platform to provide their customers immediate, operating knowledge, creating a more attractive and informative user experience. Using Amazon Bedrock’s advanced natural language processing skills and high -performance, low latency Amazon Micro, Netsertive model was able to build a comprehensive call intelligence system that only transcribes and analysis of feeling.
The success of this project has demonstrated the transformative potential of that generating in the direction of business intelligence and operational efficiency. To find out more about the construction of powerful assistants, generators of AI and applications using Amazon Bedrock and Amazon Nova, see the General in AWS.
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