A New Technology in the AI World: LLMs
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AI as a Revolution for Sales Orders
In the sales sector, efficiency and precision are fundamental. Currently, most sales orders are managed manually, often through a high volume of emails that must be sifted through by sales teams to extract relevant information for entry into Enterprise Resource Planning systems. This manual processing of sales orders not only requires a great deal of time but is also prone to errors and high workloads, consequently leading to customer dissatisfaction. Artificial Intelligence (AI) is capable of revolutionizing this sector, increasing productivity in sales order entry.
LLMs: The Technology Behind Chatbots
In the context of sales order entry, a new technology is emerging: LLMs, or Large Language Models.
LLMs are advanced AI systems designed to understand, generate, and manipulate human language. They are trained on vast volumes of textual data, which allow them to recognize context, capture nuances, and generate coherent and relevant responses. LLMs are also capable of processing and understanding natural language and automating tasks involving text and communication.
How Do LLMs Work?
LLMs operate using a deep learning architecture called transformers. This architecture allows them to process and generate language with an unprecedented level of accuracy and coherence. Here is a simplified overview of how they work:
- Training: LLMs are trained on diverse datasets comprising billions of words from books, articles, websites, and other textual sources. During training, the model learns to predict the next word in a sentence, gradually understanding grammar, context, tone, and style.
- Fine-tuning: After initial training, LLMs can be calibrated for specific tasks or sectors by feeding them domain-specific data. For sales orders, this could mean enriching the model with data from sales orders, invoices, and customer communications.
- Inference: Once trained, LLMs can generate text, answer questions, summarize documents, extract information, and more. They can understand and respond to questions in natural language, making them highly versatile for many sales order entry tasks.
AI as a Virtual Assistant in Your Inbox
Here is how AI can streamline the sales order entry process and significantly increase efficiency:
- Opening and Reading Documents: AI can automatically open and read incoming documents, identifying and classifying them based on predefined criteria, regardless of the format used by customers (Word, PDF, Excel, CSV, XML...).
- Data Extraction: AI can extract data from various document formats into a structured form, such as product information, price, quantity, customer data, and commercial terms. This ensures that all necessary information is captured accurately and quickly.
- Data Comparison: AI can compare extracted order data with existing records within the system, checking for discrepancies and missing information.
- Quote and Order Generation: AI can automatically generate quotes or new sales orders based on extracted data, thereby reducing response times.
- Drafting Personalized Responses: AI can draft personalized email responses for customers, whether it involves sending quotes, confirming orders, or requesting additional information, always maintaining a regular communication flow. By analyzing previous interactions and customer preferences, it is even possible to instruct the AI to respond in the language and communication style preferred by the customer.
- Proactive Follow-Up: AI can monitor the status of sales orders and automatically send follow-up emails to customers. This ensures timely communication, keeping customers informed about order status, delivery updates, and any issues that may arise.
Conclusions
Integrating AI directly into the inbox represents a true revolution for sales order entry, thanks to the numerous benefits previously mentioned. AI enables human resources to dedicate themselves to other more strategic activities, reduces the risk of human errors, allows for faster response times, and consequently increases customer satisfaction.