How does using an LLM boost business performance?

ChatGPT, Copilot, Gemini…Names that are on everyone’s lips. And for good reason too, as in recent years, LLMs (Large Language Models) have opened new doors in the digital world and flipped the script on how we use AI.

Initially used as mere text editing tools, LLMs now represent a much broader strategic opportunity for companies. They automate tasks, optimise processes, and ultimately boost productivity and operational efficiency. So what exactly is an LLM and how can you use one in your company? Partoo has all the answers!

LLMs in business: What it means and what it does

Before diving into specific functions, you need to have a solid understanding of what an LLM is.

What is a Large Language Model (LLM)?

An acronym for Large Language Model, an LLM is a generative artificial intelligence model designed to understand, interpret, and generate human language coherently and contextually.

Simply put, an LLM is a computer program that is “fed” a colossal amount of textual data. It then draws on this vast knowledge base to identify complex patterns and relationships between words, phrases, and concepts.

Imagine a child reading millions of books. They don’t memorise every sentence but can master the mechanisms of the language. An LLM works in a similar way. By analysing billions of texts, it can predict the most likely word needed to complete a sentence and, therefore, generate relevant texts.

So it doesn’t follow predefined rules, but relies on high-volume analogy learning.

Did you know?

LLMs are called “large” because of the huge amount of data used to train them. The learning process is so massive that the LLM does not just memorise, it acquires an accurate statistical and contextual understanding of language.

LLMs are called “large” because of the huge amount of data used to train them. The learning process is so massive that the LLM does not just memorise, it acquires an accurate statistical and contextual understanding of language.

How does an LLM work?

LLMs lean on complex machine learning principles, a technique that allows machines to learn from data without someone having to program them. Simply put, this can be broken down into three main steps:

1. Initial training: This is the first and most data-intensive step. LLMs are trained on billions of words and phrases so they can identify patterns and relationships. During this phase, the LLM learns to predict the next word in a sequence by developing a statistical understanding of language. This forms the basis that allows it to generate consistent text.
2. Supervised fine-tuning: Having been trained by a general database, the LLM undergoes some fine-tuning. It’s given more detailed instructions to adapt to specific tasks: answering questions, following instructions, or using the right tone of voice. This fine-tuning is crucial for “specialising” the model so it can master its precise uses.
3. Reinforcement Learning Human Feedback: This phase is essential if the LLM is to meet human expectations. Human feedback is used to refine and correct an LLM’s answers. It ensures the model provides helpful, relevant, and safe answers, and avoids false, inappropriate, or insulting content.

The different LLMs on the market

Nowadays, there are loads of LLMs with different features and areas of application. Some provide general content while others are designed to deal with specific tasks like code generation, translation, or summarising long texts.

Here is a non-exhaustive list of the most common LLMs.

 3 practical ways an LLM can help your business

AI and LLMs today are no longer just emerging tech; they’ve become powerful levers to grow a business. These tools now act as customisable assistants, able to optimise productivity and boost revenue.

Integrating an LLM into your business is therefore an effective way to free up your employees’ time. While they’ve proved their worth when it comes to producing content (emails, blog posts) or summarising documents, their potential extends far beyond these basic uses.

At Partoo, we made the strategic choice to integrate AI directly into our product. Our AI agent, Jim, is here to help our clients optimise their operations. By automating repetitive processes, we help them free up their time and resources.

1. Enhance your online presence with AI

Search engines such as Google’s AI Overviews increasingly display AI-generated answers to local questions, meaning it’s more important than ever to standardise your local data so AI deems it a trustworthy source.

Multicasting accurate and up-to-date data across all communication channels (Google, Facebook, Waze, etc.) is key to building your credibility. Consistent and accurate information will strengthen your credibility in the eyes of AI and Google. They will identify you as a trusted source and highlight your content.

Want to improve your online presence with AI?

Learn how to optimise your Google listing, store locator, and local data so you appear in AI search engine results and ramp up your online presence!

Learn how to optimise your Google listing, store locator, and local data so you appear in AI search engine results and ramp up your online presence!

2. An LLM to automate customer review management

According to Google, companies that reply to reviews are 1.7 times more trustworthy than those that don’t. Responding to reviews builds trust, humanises your business, shows your customers that you care, and that you take things seriously.

The arrival of LLMs has revolutionised how companies handle their customer reviews. They mean you can reply to a high number of reviews in one click, while preserving a highly professional approach.

Responding to both positive and negative customer reviews is essential if you want to maintain a solid online reputation. Using an LLM provides numerous advantages:

• It saves time and boosts efficiency: Automating customer review replies frees up your team to focus on more complex and high-value-added tasks.
• It improves the quality of responses: By accurately analysing reviews, AI can provide personalised and relevant responses, improving customer satisfaction.
• It boosts your SEO: Responding to customer reviews provides an indirect way to “refresh” your Google business listing, which in turn will boost your SEO.
• In-depth data analysis: AI can analyse huge numbers of reviews to identify trends, recurring issues, and areas for improvement. Something that Partoo can help you with, thanks to Review Management + and its qualitative analysis of reviews.

Want to go further?

Ready to harness the power of AI in your e-reputation strategy? Thanks to Jim, you can turn your customer reviews into a visibility lever[5] .

Ready to harness the power of AI in your e-reputation strategy? Thanks to Jim, you can turn your customer reviews into a visibility lever[5] .

3. A round-the-clock conversational AI agent

Imagine a customer service that never sleeps, able to instantly answer all your customers’ questions, at any time of the day or night. This is where an intelligent conversational agent proves its worth. More than just a mere program, it’s a strategic asset that allows you to always be there for your customers.

A well-designed conversational AI agent delivers direct and measurable benefits:

• Always available: Forget chatbots that only function during opening hours; customers can get help whenever they like, even on weekends or in the middle of the night. This permanent access to assistance increases customer loyalty and helps a business stand out.
• Saves time and increases productivity: AI’s ability to handle an unlimited volume of simultaneous requests frees teams up to focus on higher-value-added tasks.
• Quick problem-solving: AI taps into companies’ knowledge base, meaning it provides solutions to technical problems and answers complex questions in a flash.
• A more satisfying and personalised customer experience: an AI agent will use natural language, giving it a human touch. By analysing the context, it can adapt its answers and recommend products according to the user’s profile, which creates a closer customer relationship.
• A qualified lead generator: an AI agent like Jim can retrieve information (name, phone, email, etc.) automatically and then integrate it into your company’s CRM. This improves the customer conversion rate as each prospect will be contacted at exactly the right time.

Did you know?

Jim, our AI agent, automates up to 90% of customer conversations by generating personalised responses, saving your business loads of time – and much more! See how Jim turns messages into sales opportunities!

Jim, our AI agent, automates up to 90% of customer conversations by generating personalised responses, saving your business loads of time – and much more! See how Jim turns messages into sales opportunities!

In short, harnessing the power of Jim in your business will simplify your operations; you’ll improve the customer experience, be able to analyse huge amounts of data and boost overall productivity.

Conclusion: what will you gain from using an LLM in your business?