LLMs are an amazing new technology, but we are still in the early days of figuring out the best ways to put them to use.
This article covers some real-world examples of how businesses are already leveraging Cohere’s LLM technology to improve their operations and customer experience, as described here.
First, LLMs are being used to provide more personalised (based on a customer’s demographics, purchase history, and personal preferences) and precise product recommendations to customers, which is leading to increased sales. They are also powering customer service chatbots that can save companies money while simultaneously improving customer satisfaction.
For global retailers, LLMs with strong multilingual capabilities can help ensure brand messaging and voice remains consistent across different languages. These models can also analyse customer feedback in multiple languages to better understand customer preferences and global trends.
In the realm of inventory management, LLMs are enabling conversational interfaces that provide key insights to stakeholders. More advanced AI agents can even help with complex decisions like adjusting orders and notifying suppliers when supply chain disruptions occur.
Finally, LLMs are being used to improve the employee experience at retailers. Retrieval-augmented generation (RAG) applications can quickly provide employees with company information tailored to their specific situation, saving managers valuable time. AI assistants are also being used to help employees quickly get answers to questions about products, policies and procedures so they can better serve customers. This is especially useful for getting new hires up to speed faster.
While still early, LLMs are already transforming many aspects of the retail industry. As the technology continues to mature and more companies adopt it, we can expect to see even more impressive applications emerge that will redefine the customer experience.