At Wolkvox, as a leading SaaS multinational in contact center software, omnichannel and cloud solutions, we are constantly innovating to offer companies the most advanced and efficient tools for managing their customer relationships. In this sense, LAM (Large Action Models) represent a giant leap into the future of our industry, opening up a range of unimaginable possibilities to optimize the customer experience and enhance the efficiency of interactions.
What are LAM Action Models?
LAM Action Models are a cutting-edge artificial intelligence (AI) technology that goes beyond simple language understanding and generation. These models are designed to understand the customer’s intentions, carry out real-world tasks, and interact with the environment autonomously.
In the context of the contact center, LAMs have the potential to revolutionize the way companies interact with their customers, offering a personalized, efficient, and proactive experience.
Benefits of LAM Action Models for the Contact Center
The benefits of implementing LAM Action Models in the contact center are numerous and tangible:
LAM bots can automate repetitive tasks such as scheduling appointments, managing bookings, or resolving low- and medium-complexity issues, freeing agents to focus on more complex, higher-value interactions. Their ability to understand and respond to customer inquiries quickly and accurately leads to a significant reduction in wait time and increased efficiency in problem solving.
Added to this is its ability to analyze user data, which allows it to offer a personalized experience in each interaction, adapting the language, tone and communication style to the needs and preferences of each customer.
LAM models can be used to create virtual agents that interact with customers naturally and seamlessly, providing insights, solving problems, and guiding them through processes autonomously. They also have the ability to perform a sentiment analysis automatically during the interaction, to identify opportunities for improvement in the process, know the main needs of the end user and increase the levels of personalization in each contact. Examples include offering personalized content, product recommendations, special offers, or informational materials.
Chatbots that you can bring to life with a LAM model as a foundation have more potential than any common virtual agent. Not only do they focus on interacting using voice, text, or images, but they can integrate with information sources to run processes on different platforms on their own. This makes them a key ally for your team.
Bots based on LAM Models can become your right-hand man to capture more customers. By analyzing large data sets, they can more accurately identify the leads most likely to respond positively to a call campaign. This translates into more precise targeting. They can also identify the best times to contact each customer, maximizing the likelihood of success and the efficiency of campaigns.
In addition, they are great allies when it comes to adapting messages to each customer as a unique individual in the market, increasing the relevance and impact of call campaigns.
Parallel to the rise of digital channels, the voice channel has continued to be one of the preferred channels for customers and companies. That’s why, with a virtual agent that uses LAM AI, you can quickly identify high-value customers based on their behavior, purchase history, and other relevant data, to focus your efforts on the most profitable customers.
Such data analysis is also key to detecting cross-selling and upselling opportunities. LAMs can analyze customer purchase data to identify cross-selling and upselling opportunities, increasing sales and profitability. It should be noted that the points noted above could positively impact your conversion rate.
A LAM bot can also take care of the operational work that quality analytics demands. Along with reading customer sentiment at each key moment of the interaction, the LAM virtual agent can generate summaries, dynamic dashboards, and tags of the most commonly used terms. This way, you won’t have to replay a call over and over again, or read hundreds of chat transcripts to know point-by-point what’s going on in your operation.
At Wolkvox, we are committed to innovation and the pursuit of new technologies that enable our customers to deliver the best possible experience to end users. LAM Action Models represent an important step into the future of the contact center, and we are actively working to integrate this technology into our solutions and provide our customers with the most advanced tools to optimize their interactions.
We are confident that LAMs will be a key part of the future of the contact center, and we are excited to be able to provide our customers with the tools they need to make the most of their full potential.
At Wolkvox, as a leading SaaS multinational in contact center software, omnichannel and cloud solutions, we are constantly innovating to offer companies the most advanced and efficient tools for managing their customer relationships. In this sense, LAM (Large Action Models) represent a giant leap into the future of our industry, opening up a range of unimaginable possibilities to optimize the customer experience and enhance the efficiency of interactions.
What are LAM Action Models?
LAM Action Models are a cutting-edge artificial intelligence (AI) technology that goes beyond simple language understanding and generation. These models are designed to understand the customer’s intentions, carry out real-world tasks, and interact with the environment autonomously.
In the context of the contact center, LAMs have the potential to revolutionize the way companies interact with their customers, offering a personalized, efficient, and proactive experience.
Benefits of LAM Action Models for the Contact Center
The benefits of implementing LAM Action Models in the contact center are numerous and tangible:
LAM bots can automate repetitive tasks such as scheduling appointments, managing bookings, or resolving low- and medium-complexity issues, freeing agents to focus on more complex, higher-value interactions. Their ability to understand and respond to customer inquiries quickly and accurately leads to a significant reduction in wait time and increased efficiency in problem solving.
Added to this is its ability to analyze user data, which allows it to offer a personalized experience in each interaction, adapting the language, tone and communication style to the needs and preferences of each customer.
LAM models can be used to create virtual agents that interact with customers naturally and seamlessly, providing insights, solving problems, and guiding them through processes autonomously. They also have the ability to perform a sentiment analysis automatically during the interaction, to identify opportunities for improvement in the process, know the main needs of the end user and increase the levels of personalization in each contact. Examples include offering personalized content, product recommendations, special offers, or informational materials.
Chatbots that you can bring to life with a LAM model as a foundation have more potential than any common virtual agent. Not only do they focus on interacting using voice, text, or images, but they can integrate with information sources to run processes on different platforms on their own. This makes them a key ally for your team.
Bots based on LAM Models can become your right-hand man to capture more customers. By analyzing large data sets, they can more accurately identify the leads most likely to respond positively to a call campaign. This translates into more precise targeting. They can also identify the best times to contact each customer, maximizing the likelihood of success and the efficiency of campaigns.
In addition, they are great allies when it comes to adapting messages to each customer as a unique individual in the market, increasing the relevance and impact of call campaigns.
Parallel to the rise of digital channels, the voice channel has continued to be one of the preferred channels for customers and companies. That’s why, with a virtual agent that uses LAM AI, you can quickly identify high-value customers based on their behavior, purchase history, and other relevant data, to focus your efforts on the most profitable customers.
Such data analysis is also key to detecting cross-selling and upselling opportunities. LAMs can analyze customer purchase data to identify cross-selling and upselling opportunities, increasing sales and profitability. It should be noted that the points noted above could positively impact your conversion rate.
A LAM bot can also take care of the operational work that quality analytics demands. Along with reading customer sentiment at each key moment of the interaction, the LAM virtual agent can generate summaries, dynamic dashboards, and tags of the most commonly used terms. This way, you won’t have to replay a call over and over again, or read hundreds of chat transcripts to know point-by-point what’s going on in your operation.
At Wolkvox, we are committed to innovation and the pursuit of new technologies that enable our customers to deliver the best possible experience to end users. LAM Action Models represent an important step into the future of the contact center, and we are actively working to integrate this technology into our solutions and provide our customers with the most advanced tools to optimize their interactions.
We are confident that LAMs will be a key part of the future of the contact center, and we are excited to be able to provide our customers with the tools they need to make the most of their full potential.
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